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ORCID33rd WWW 2024: Singapore - Companion Volume
- Tat-Seng Chua, Chong-Wah Ngo, Roy Ka-Wei Lee, Ravi Kumar, Hady W. Lauw:
Companion Proceedings of the ACM on Web Conference 2024, WWW 2024, Singapore, Singapore, May 13-17, 2024. ACM 2024
Industry
- Ding Zou
, Wei Wei, Feida Zhu, Chuanyu Xu, Tao Zhang, Chengfu Huo:
Knowledge Enhanced Multi-intent Transformer Network for Recommendation. 1-9 - Peijie Sun, Yifan Wang, Min Zhang, Chuhan Wu, Yan Fang, Hong Zhu, Yuan Fang, Meng Wang:
Collaborative-Enhanced Prediction of Spending on Newly Downloaded Mobile Games under Consumption Uncertainty. 10-19 - Wenjun Peng, Guiyang Li, Yue Jiang, Zilong Wang, Dan Ou, Xiaoyi Zeng, Derong Xu, Tong Xu, Enhong Chen:
Large Language Model based Long-tail Query Rewriting in Taobao Search. 20-28 - Akshay Jagatap, Srujana Merugu, Prakash Mandayam Comar:
Improving Search for New Product Categories via Synthetic Query Generation Strategies. 29-37 - Zhaocheng Du, Junhao Chen, Qinglin Jia, Chuhan Wu, Jieming Zhu, Zhenhua Dong, Ruiming Tang:
LightCS: Selecting Quadratic Feature Crosses in Linear Complexity. 38-46 - Wei Zhang, Dai Li, Chen Liang, Fang Zhou, Zhongke Zhang, Xuewei Wang, Ru Li, Yi Zhou, Yaning Huang, Dong Liang, Kai Wang, Zhangyuan Wang, Zhengxing Chen, Fenggang Wu, Minghai Chen, Huayu Li, Yunnan Wu, Zhan Shu, Mindi Yuan, Sri Reddy:
Scaling User Modeling: Large-scale Online User Representations for Ads Personalization in Meta. 47-55 - Chunyuan Yuan, Ming Pang, Zheng Fang, Xue Jiang, Changping Peng, Zhangang Lin:
A Semi-supervised Multi-channel Graph Convolutional Network for Query Classification in E-commerce. 56-64 - Chiming Duan, Fangkai Yang, Pu Zhao, Lingling Zheng, Yash Dagli, Yudong Liu, Qingwei Lin, Dongmei Zhang:
SOIL: Score Conditioned Diffusion Model for Imbalanced Cloud Failure Prediction. 65-72 - Wei Wen, Kuang-Hung Liu, Igor Fedorov, Xin Zhang, Hang Yin, Weiwei Chu, Kaveh Hassani, Mengying Sun, Jiang Liu, Xu Wang, Lin Jiang, Yuxin Chen, Buyun Zhang, Xi Liu, Dehua Cheng, Zhengxing Chen, Guang Zhao, Fangqiu Han, Jiyan Yang, Yuchen Hao, Liang Xiong, Wen-Yen Chen:
Rankitect: Ranking Architecture Search Battling World-class Engineers at Meta Scale. 73-82 - Zhenghao Liu, Zulong Chen, Moufeng Zhang, Shaoyang Duan, Hong Wen, Liangyue Li, Nan Li, Yu Gu, Ge Yu:
Modeling User Viewing Flow using Large Language Models for Article Recommendation. 83-92 - Junpeng Fang, Gongduo Zhang, Qing Cui, Lihong Gu, Longfei Li, Jinjie Gu, Jun Zhou:
Counterfactual Data Augmentation for Debiased Coupon Recommendations Based on Potential Knowledge. 93-102 - Jun Hu, Wenwen Xia, Xiaolu Zhang, Chilin Fu, Weichang Wu, Zhaoxin Huan, Ang Li, Zuoli Tang, Jun Zhou:
Enhancing Sequential Recommendation via LLM-based Semantic Embedding Learning. 103-111 - Shuhan Wang, Bin Shen, Xu Min, Yong He, Xiaolu Zhang, Liang Zhang, Jun Zhou, Linjian Mo:
Aligned Side Information Fusion Method for Sequential Recommendation. 112-120 - Prabhat Agarwal, Minhazul Islam SK, Nikil Pancha, Kurchi Subhra Hazra, Jiajing Xu, Chuck Rosenberg:
OmniSearchSage: Multi-Task Multi-Entity Embeddings for Pinterest Search. 121-130 - Zhiyuan Zhang, Qichao Zhang, Xiaoxu Wu, Xiaowen Shi, Guogang Liao, Yongkang Wang, Xingxing Wang, Dongbin Zhao:
User Response Modeling in Reinforcement Learning for Ads Allocation. 131-140 - Supriyo Ghosh, Karish Grover, Jimmy Wong, Chetan Bansal, Rakesh Namineni, Mohit Verma, Saravan Rajmohan:
Dependency Aware Incident Linking in Large Cloud Systems. 141-150 - Bo Chang, Changping Meng, He Ma, Shuo Chang, Yang Gu, Yajun Peng, Jingchen Feng, Yaping Zhang, Shuchao Bi, Ed H. Chi, Minmin Chen:
Cluster Anchor Regularization to Alleviate Popularity Bias in Recommender Systems. 151-160 - Xiao Lin, Xiaokai Chen, Chenyang Wang, Hantao Shu, Linfeng Song, Biao Li, Peng Jiang:
Discrete Conditional Diffusion for Reranking in Recommendation. 161-169 - Chao Zhang, Shiwei Wu, Haoxin Zhang, Tong Xu, Yan Gao, Yao Hu, Enhong Chen:
NoteLLM: A Retrievable Large Language Model for Note Recommendation. 170-179 - Hao Yang, Jianxin Yuan, Shuai Yang, Linhe Xu, Shuo Yuan, Yifan Zeng:
A New Creative Generation Pipeline for Click-Through Rate with Stable Diffusion Model. 180-189 - Zhaolin Hong, Haitao Wang, Chengjie Qian, Wei Chen, Tianqi He, Yajie Zou, Qiang Liu, Xingxing Wang:
PRINT: Personalized Relevance Incentive Network for CTR Prediction in Sponsored Search. 190-195 - Yifan Liu, Wei Xia, Weiwen Liu, Menghui Zhu, Weinan Zhang, Ruiming Tang, Yong Yu:
HiFI: Hierarchical Fairness-aware Integrated Ranking with Constrained Reinforcement Learning. 196-205 - Nurendra Choudhary, Edward W. Huang, Karthik Subbian, Chandan K. Reddy:
An Interpretable Ensemble of Graph and Language Models for Improving Search Relevance in E-Commerce. 206-215 - Wenhao Wu, Jialiang Zhou, Ailong He, Shuguang Han, Jufeng Chen, Bo Zheng:
MetaSplit: Meta-Split Network for Limited-Stock Product Recommendation. 216-225 - Yinqiu Huang, Shuli Wang, Min Gao, Xue Wei, Changhao Li, Chuan Luo, Yinhua Zhu, Xiong Xiao, Yi Luo:
Entire Chain Uplift Modeling with Context-Enhanced Learning for Intelligent Marketing. 226-234 - Maolin Wang, Yao Zhao, Jiajia Liu, Jingdong Chen, Chenyi Zhuang, Jinjie Gu, Ruocheng Guo, Xiangyu Zhao:
Large Multimodal Model Compression via Iterative Efficient Pruning and Distillation. 235-244 - Enrico Bacis, Igor Bilogrevic, Róbert Busa-Fekete, Asanka Herath, Antonio Sartori, Umar Syed:
Assessing Web Fingerprinting Risk. 245-254 - Tao Zhang, Luwei Yang, Zhibo Xiao, Wen Jiang, Wei Ning:
On Practical Diversified Recommendation with Controllable Category Diversity Framework. 255-263 - Yu Wang, Amin Javari, Janani Balaji, Walid Shalaby, Tyler Derr, Xiquan Cui:
Knowledge Graph-based Session Recommendation with Session-Adaptive Propagation. 264-273 - Yanbang Wang, Karl Hallgren, Jonathan Larson:
A Graph-based Framework for Reducing False Positives in Authentication Alerts in Security Systems. 274-283 - Xiaoshuang Chen, Gengrui Zhang, Yao Wang, Yulin Wu, Shuo Su, Kaiqiao Zhan, Ben Wang:
Cache-Aware Reinforcement Learning in Large-Scale Recommender Systems. 284-291 - Qi Chen, Xiubo Geng, Corby Rosset, Carolyn Buractaon, Jingwen Lu, Tao Shen, Kun Zhou, Chenyan Xiong, Yeyun Gong, Paul N. Bennett, Nick Craswell, Xing Xie, Fan Yang, Bryan Tower, Nikhil Rao, Anlei Dong, Wenqi Jiang, Zheng Liu, Mingqin Li, Chuanjie Liu, Zengzhong Li, Rangan Majumder, Jennifer Neville, Andy Oakley, Knut Magne Risvik, Harsha Vardhan Simhadri, Manik Varma, Yujing Wang, Linjun Yang, Mao Yang, Ce Zhang:
MS MARCO Web Search: A Large-scale Information-rich Web Dataset with Millions of Real Click Labels. 292-301 - Yucen Gao, Li Ma, Zhemeng Yu, Songjian Zhang, Jun Fang, Xiaofeng Gao, Guihai Chen:
Lightweight GCN Encoder and Sequential Decoder for Multi-Candidate Carpooling Route Planning in Road Network. 302-310 - Yuanbo Gao, Peng Lin, Dongyue Wang, Feng Mei, Xiwei Zhao, Sulong Xu, Jinghe Hu:
PPM : A Pre-trained Plug-in Model for Click-through Rate Prediction. 311-318 - Xiangyu Li, Xinjie Shen, Yawen Zeng, Xiaofen Xing, Jin Xu:
FinReport: Explainable Stock Earnings Forecasting via News Factor Analyzing Model. 319-327 - Qinyi Chen, Phuong Ha Nguyen, Djordje Gligorijevic:
Optimization-Based Budget Pacing in eBay Sponsored Search. 328-337 - Bing He, Sreyashi Nag, Limeng Cui, Suhang Wang, Zheng Li, Rahul Goutam, Zhen Li, Haiyang Zhang:
Hierarchical Query Classification in E-commerce Search. 338-345 - Ankith M. S, Arindam Bhattacharya, Ankit Gandhi, Vijay Huddar, Atul Saroop, Rahul Bhagat:
DISKCO : Disentangling Knowledge from Cross-Encoder to Bi-Encoder. 346-354 - Zhichao Feng, Junjie Xie, Kaiyuan Li, Yu Qin, Pengfei Wang, Qianzhong Li, Bin Yin, Xiang Li, Wei Lin, Shangguang Wang:
Context-based Fast Recommendation Strategy for Long User Behavior Sequence in Meituan Waimai. 355-363 - Ningfei Wang, Yupin Huang, Han Cheng, Jiri Gesi, Xiaojie Wang, Vivek Mittal:
Towards Robustness Analysis of E-Commerce Ranking System. 364-373 - Hang Yin, Kuang-Hung Liu, Mengying Sun, Yuxin Chen, Buyun Zhang, Jiang Liu, Vivek Sehgal, Rudresh Rajnikant Panchal, Eugen Hotaj, Xi Liu, Daifeng Guo, Jamey Zhang, Zhou Wang, Shali Jiang, Huayu Li, Zhengxing Chen, Wen-Yen Chen, Jiyan Yang, Wei Wen:
AutoML for Large Capacity Modeling of Meta's Ranking Systems. 374-382 - Shiqi Zhang, Jiachen Sun, Wenqing Lin, Xiaokui Xiao, Yiqian Huang, Bo Tang:
Information Diffusion Meets Invitation Mechanism. 383-392 - Yaoqi Chen, Ruicheng Zheng, Qi Chen, Shuotao Xu, Qianxi Zhang, Xue Wu, Weihao Han, Hua Yuan, Mingqin Li, Yujing Wang, Jason Li, Fan Yang, Hao Sun, Weiwei Deng, Feng Sun, Qi Zhang, Mao Yang:
OneSparse: A Unified System for Multi-index Vector Search. 393-402 - Marco De Nadai, Francesco Fabbri, Paul Gigioli, Alice Wang, Ang Li, Fabrizio Silvestri, Laura Kim, Shawn Lin, Vladan Radosavljevic, Sandeep Ghael, David Nyhan, Hugues Bouchard, Mounia Lalmas, Andreas Damianou:
Personalized Audiobook Recommendations at Spotify Through Graph Neural Networks. 403-412 - Haolin Zhou, Junwei Pan, Xinyi Zhou, Xihua Chen, Jie Jiang, Xiaofeng Gao, Guihai Chen:
Temporal Interest Network for User Response Prediction. 413-422 - Xu Chen, Zida Cheng, Jiangchao Yao, Chen Ju, Weilin Huang, Jinsong Lan, Xiaoyi Zeng, Shuai Xiao:
Enhancing Cross-Domain Click-Through Rate Prediction via Explicit Feature Augmentation. 423-432 - Rotem Stram, Rani Abboud, Alex Shtoff, Oren Somekh, Ariel Raviv, Yair Koren:
Mystique: A Budget Pacing System for Performance Optimization in Online Advertising. 433-442 - Shiwei Zhao, Xi Yuan, Runze Wu, Zhipeng Hu, Haoyu Liu, Kai Wang, Yujing Hu, Tangjie Lv, Changjie Fan, Xin Tong, Jiangze Han, Yan Zheng, Jianye Hao:
The MMO Economist: AI Empowers Robust, Healthy, and Sustainable P2W MMO Economies. 443-452 - Xiaoxiao Xu, Hao Wu, Wenhui Yu, Lantao Hu, Peng Jiang, Kun Gai:
Enhancing Interpretability and Effectiveness in Recommendation with Numerical Features via Learning to Contrast the Counterfactual samples. 453-460 - Hsin-Yu Chen, Cheng-Te Li, Ting-Yu Chen:
Skewness-aware Boosting Regression Trees for Customer Contribution Prediction in Financial Precision Marketing. 461-470 - Zezhong Zhang, Ted Tao Yuan:
Practical Batch Bayesian Sampling Algorithms for Online Adaptive Traffic Experimentation. 471-480
Short Papers
- Zheyuan Liu, Xiaoxin He, Yijun Tian, Nitesh V. Chawla:
Can we Soft Prompt LLMs for Graph Learning Tasks? 481-484 - Haoran Liu, Bokun Wang, Jianling Wang, Xiangjue Dong, Tianbao Yang, James Caverlee:
Everything Perturbed All at Once: Enabling Differentiable Graph Attacks. 485-488 - Jiajun Tan, Fei Sun, Ruichen Qiu, Du Su, Huawei Shen:
Unlink to Unlearn: Simplifying Edge Unlearning in GNNs. 489-492 - Preetam Prabhu Srikar Dammu, Omar Alonso:
Near-duplicate Question Detection. 493-496 - Mehrnoosh Mirtaheri, Ryan A. Rossi, Sungchul Kim, Kanak Mahadik, Tong Yu, Xiang Chen, Mohammad Rostami:
Tackling Long-Tail Entities for Temporal Knowledge Graph Completion. 497-500 - Vladimir Baikalov, Evgeny Frolov:
End-to-End Graph-Sequential Representation Learning for Accurate Recommendations. 501-504 - Hong-Kyun Bae, Hae-Ri Jang, Yang-Sae Moon, Sang-Wook Kim:
Item-Ranking Promotion in Recommender Systems. 505-508 - Anupam Gupta, Pabitra Mitra, Sudip Misra:
HBIAS FedAvg: Smooth Federated Learning Transition for In-use Edge Models. 509-512 - Yue Huang, Kai Shu, Philip S. Yu, Lichao Sun:
From Creation to Clarification: ChatGPT's Journey Through the Fake News Quagmire. 513-516 - Ruichen Liu, Yang Liu, Jiming Liu:
LLaCE: Locally Linear Contrastive Embedding. 517-520 - Zewei Shi, Ruoxi Sun, Jieshan Chen, Jiamou Sun, Minhui Xue:
The Invisible Game on the Internet: A Case Study of Decoding Deceptive Patterns. 521-524 - Gengxiang Chen, Kai Li, Ahmed M. Abdelmoniem, Linlin You:
Exploring Representational Similarity Analysis to Protect Federated Learning from Data Poisoning. 525-528 - Ziming Zhao, Zhaoxuan Li, Tingting Li, Jiongchi Yu, Fan Zhang, Rui Zhang:
Improving Model Robustness against Adversarial Examples with Redundant Fully Connected Layer. 529-532 - Yadong Zhang, Siyu Lu, Qiang Liu, Xingxing Wang:
DiffuRetrieval: A Chain-of-Thought Enhanced Diffusion Retrieval in Sponsored Search. 533-536 - Chi-Yang Hsu, Kyle Cox, Jiawei Xu, Zhen Tan, Tianhua Zhai, Mengzhou Hu, Dexter Pratt, Tianlong Chen, Ziniu Hu, Ying Ding:
Thought Graph: Generating Thought Process for Biological Reasoning. 537-540 - Xiaoshi Zhong, Huizhi Liang:
On the Scale-Free Property of Citation Networks: An Empirical Study. 541-544 - Hirotaka Nagashima, Keishi Tajima:
Automatic Construction of Expiration Time Expression Dataset from Retweets. 545-548 - Rui Ma, Dike Sun, Jincheng Xu, Jingsong Yuan, Jiandong Zhang:
Finding What Users Look for by Attribute-Aware Personalized Item Comparison in Relevant Recommendation. 549-552 - Petros Petsinis, Charalampos E. Tsourakakis, Panagiotis Karras:
Finding Dense and Persistently Expansive Subgraphs. 553-556 - Tingting Li, Ziming Zhao, Jianwei Yin:
Task-Driven Quantum Device Fingerprint Identification via Modeling QNN Outcome Shift Induced by Quantum Noise. 557-560 - Jongmin Park, Seunghoon Han, Soohwan Jeong, Sungsu Lim:
Hyperbolic Heterogeneous Graph Attention Networks. 561-564 - Katherine Avery, Amir Houmansadr, David D. Jensen:
The Effect of Alter Ego Accounts on A/B Tests in Social Networks. 565-568 - Yi-Ting Liu, Chung-Chi Chen, Hen-Hsen Huang, Hsin-Hsi Chen:
News-Driven Price Movement Forecasting with Label-Prior Graph Attention. 569-572 - Shrestha Ghosh, Simon Razniewski, Damien Graux, Gerhard Weikum:
CardiO: Predicting Cardinality from Online Sources. 573-576 - Xinran Chen, Chaobo He, Quanlong Guan:
Boost Social Recommendation via Adaptive Denoising Network. 577-580 - Zhixiang Su, Yinan Zhang, Jiazheng Jing, Jie Xiao, Zhiqi Shen:
Enabling Patient-side Disease Prediction via the Integration of Patient Narratives. 581-584 - Yuwen Liu, Lianyong Qi, Weiming Liu, Xiaolong Xu, Xuyun Zhang, Wanchun Dou:
GraphSAGE-based POI Recommendation via Continuous-Time Modeling. 585-588 - Peter Dolog, Ylli Sadikaj, Yllka Velaj, Andreas Stephan, Benjamin Roth, Claudia Plant:
The Impact of Cluster Centroid and Text Review Embeddings on Recommendation Methods. 589-592 - Yuxin Qi, Xi Lin, Ziyao Liu, Gaolei Li, Jingyu Wang, Jianhua Li:
LinkGuard: Link Locally Privacy-Preserving Graph Neural Networks with Integrated Denoising and Private Learning. 593-596 - Sohom Ghosh, Chung-Chi Chen, Sudip Kumar Naskar:
Generator-Guided Crowd Reaction Assessment. 597-600 - Bryan Zhi Yang Tan, Hady W. Lauw:
Term Importance for Transformer-Based QA Retrieval: A Case Study of StackExchange. 601-604 - Radhakrishnan Venkatakrishnan, Emrah Tanyildizi, M. Abdullah Canbaz:
Semantic interlinking of Immigration Data using LLMs for Knowledge Graph Construction. 605-608 - Ruisheng Shi, Zhiyuan Peng, Tong Fu, Lina Lan, Jiaqi Zeng, Yuyang Shi, Jinqiao Shi, Shenwen Lin, Lin Li:
An Identity Alignment Method based on Online Tracking. 609-612 - Karima Boutalbi, Rafika Boutalbi, Hervé Verjus, Kavé Salamatian:
Hierarchical Tensor Clustering for Multiple Graphs Representation. 613-616 - Thi Hoang Thi Pham, Hala Skaf-Molli, Pascal Molli, Brice Nédelec:
Online Sampling of Summaries from Public SPARQL Endpoints. 617-620 - Alessandro Epasto, Hossein Esfandiari, Vahab Mirrokni, Andrés Muñoz Medina:
Smooth Anonymity for Sparse Graphs. 621-624 - Lingzi Zhang, Yinan Zhang, Xin Zhou, Zhiqi Shen:
GreenRec: A Large-Scale Dataset for Green Food Recommendation. 625-628 - Shima Esfandiari, Mostafa Fakhrahmad:
Predicting Node Influence in Complex Networks by the K-Shell Entropy and Degree Centrality. 629-632 - Haoxin Xu, Zezheng Zhao, Yuxin Cao, Chunyu Chen, Hao Ge, Ziyao Liu:
3D Face Reconstruction Using A Spectral-Based Graph Convolution Encoder. 633-636 - Tirthankar Dasgupta, Manjira Sinha, Abir Naskar:
Knowledge Induced Transformer Network for Causality Prediction. 637-640 - Yang Jiao, Fan Yang, Yetian Chen, Yan Gao, Jia Liu, Yi Sun:
Rethinking Sequential Relationships: Improving Sequential Recommenders with Inter-Sequence Data Augmentation. 641-645 - Behzad Ousat, Dongsheng Luo, Amin Kharraz:
Breaking the Bot Barrier: Evaluating Adversarial AI Techniques Against Multi-Modal Defense Models. 646-649 - Hongyuan Su, Yu Zheng, Jingtao Ding, Depeng Jin, Yong Li:
MetroGNN: Metro Network Expansion with Reinforcement Learning. 650-653 - Jeong-Min Park, Myung-Hwan Jang, Duck-Ho Bae, Sang-Wook Kim:
RealGraphGPU++: A High-Performance GPU-Based Graph Engine with Direct Storage-to-DM IO. 654-657 - Haggai Roitman:
Unsupervised Search Algorithm Configuration using Query Performance Prediction. 658-661 - Pingjun Pan, Jialu Wang, Tingting Zhou, Wenyu Yang, Hongxiang Chen:
A User-State Based Interest Transfer Network for Cross-Domain Recommendation. 662-665 - Tan Khang Le, Saba Alimadadi, Steven Y. Ko:
A Study of Vulnerability Repair in JavaScript Programs with Large Language Models. 666-669 - Kaidi Chen, Ben Chen, Dehong Gao, Huangyu Dai, Wen Jiang, Wei Ning, Shanqing Yu, Libin Yang, Xiaoyan Cai:
General2Specialized LLMs Translation for E-commerce. 670-673 - Neham Jain, Vibhhu Sharma, Gaurav Sinha:
Counterfactual Explanations for Visual Recommender Systems. 674-677 - Ruisheng Shi, Yulian Ge, Lina Lan, Zhiyuan Peng, Shenwen Lin, Lin Li:
Deanonymizing Transactions Originating from Monero Tor Hidden Service Nodes. 678-681 - Priyanka Dey, Luca Luceri, Emilio Ferrara:
Coordinated Activity Modulates the Behavior and Emotions of Organic Users: A Case Study on Tweets about the Gaza Conflict. 682-685 - Tommaso Fontana, Sebastiano Vigna, Stefano Zacchiroli:
WebGraph: The Next Generation (Is in Rust). 686-689 - Rui Xia, Lisong Wang, Pingping Shi:
Why Deeper Layers May Introduce More Bias. 690-693 - Hongzun Liu, Kang Yin, Tianyu Sun, Rui Huang, Yunsong Li, Xiao Fang, Zhaojie Liu, Weidong Liu, Guorui Zhou:
De-Anchor: Mitigating Attention Polarization for Lifelong User Behavior Modeling in Click-Through Rate Prediction. 694-697 - Rui Zhang, Song Guo, Ping Li:
GradFilt: Class-wise Targeted Data Reconstruction from Gradients in Federated Learning. 698-701 - Kuan-Hung Kuo, Ming-Hung Wang, Hung-Yu Kao, Yu-Chen Dai:
Advancing Stance Detection of Political Fan Pages: A Multimodal Approach. 702-705 - Giuseppe Russo Latona, Christoph Gote, Christian Zingg, Giona Casiraghi, Luca Verginer, Frank Schweitzer:
Shock! Quantifying the Impact of Core Developers' Dropout on the Productivity of OSS Projects. 706-709 - Yijun Tian, Maryam Aziz, Alice Wang, Enrico Palumbo, Hugues Bouchard:
Structural Podcast Content Modeling with Generalizability. 710-713 - Jingjing Zheng, Kai Li, Xin Yuan, Wei Ni, Eduardo Tovar:
Detecting Poisoning Attacks on Federated Learning Using Gradient-Weighted Class Activation Mapping. 714-717 - Migyeong Yang, Chaewon Park, Jiwon Kang, Daeun Lee, Daejin Choi, Jinyoung Han:
Fighting against Fake News on Newly-Emerging Crisis: A Case Study of COVID-19. 718-721 - Sebastian Schmidt, Ines Zelch, Janek Bevendorff, Benno Stein, Matthias Hagen, Martin Potthast:
Detecting Generated Native Ads in Conversational Search. 722-725 - Jianling Wang, Haokai Lu, James Caverlee, Ed H. Chi, Minmin Chen:
Large Language Models as Data Augmenters for Cold-Start Item Recommendation. 726-729 - Yuanzheng Niu, Xiaoqi Li, Hongli Peng, Wenkai Li:
Unveiling Wash Trading in Popular NFT Markets. 730-733 - Yanping Wu, Jinghao Wang, Renjie Sun, Chen Chen, Xiaoyang Wang, Ying Zhang:
Targeted Filter Bubbles Mitigating via Edges Insertion. 734-737 - Shuhao Shi, Kai Qiao, Chen Chen, Jie Yang, Jian Chen, Bin Yan:
Over-Sampling Strategy in Feature Space for Graphs based Class-imbalanced Bot Detection. 738-741 - Ziyi Liu, Huandong Wang, Yong Li:
Understanding Deployment Experience of 5G. 742-745 - Haolei Pei, Yuanyuan Xu, Yangping Zhu, Yuan Nie:
RimiRec: Modeling Refined Multi-interest in Hierarchical Structure for Recommendation. 746-749 - Yen-Wen Lu, Chih-Yao Chen, Cheng-Te Li:
Dual Graph Networks with Synthetic Oversampling for Imbalanced Rumor Detection on Social Media. 750-753 - Tatsuru Tomizawa, Seiki Makino, Taiga Kume, Satoki Hamanaka, Tadashi Okoshi, Jin Nakazawa:
FaST: Accelerating Web Front-end Data Binding with Compiler and Visible Anchor. 754-757 - Wei-Yu Kao, An-Zi Yen:
How We Refute Claims: Automatic Fact-Checking through Flaw Identification and Explanation. 758-761 - Yohei Kodama, Yuki Akeyama, Yusuke Miyazaki, Koh Takeuchi:
Travel Demand Prediction with Application to Commuter Demand Estimation on Urban Railways. 762-765 - Dechao Kong, Xiaoqi Li, Wenkai Li:
Characterizing the Solana NFT Ecosystem. 766-769 - Ubaid Ur Rehman, Sungyoung Lee:
One-shot Pairing and Authentication Using Moms Secret. 770-773 - Huajie Zhang, Yuxin Ying, Fuzhen Zhuang, Haiqin Weng, Sun Ying, Zhao Zhang, Yiqi Tong, Yan Liu:
Multi-round Counterfactual Generation: Interpreting and Improving Models of Text Classification. 774-777 - Md Saidul Hoque Anik, Pranav Badhe, Rohit Gampa, Ariful Azad:
iSpLib: A Library for Accelerating Graph Neural Networks using Auto-tuned Sparse Operations. 778-781 - Emmanouil Papadogiannakis, Panagiotis Papadopoulos, Evangelos P. Markatos, Nicolas Kourtellis:
Ad Laundering: How Websites Deceive Advertisers into Rendering Ads Next to Illicit Content. 782-785 - Wenkai Li, Xiaoqi Li, Yuqing Zhang, Zongwei Li:
DeFiTail: DeFi Protocol Inspection through Cross-Contract Execution Analysis. 786-789 - Yihong Ma, Xiaobao Huang, Bozhao Nan, Nuno Moniz, Xiangliang Zhang, Olaf Wiest, Nitesh V. Chawla:
Are we Making Much Progress? Revisiting Chemical Reaction Yield Prediction from an Imbalanced Regression Perspective. 790-793 - Danyang Wu, Xinjie Shen, Jitao Lu, Jin Xu, Feiping Nie:
Simple Multigraph Convolution Networks. 794-797 - Yichang Xu, Ming Yin, Minghong Fang, Neil Zhenqiang Gong:
Robust Federated Learning Mitigates Client-side Training Data Distribution Inference Attacks. 798-801 - Kenneth Odoh:
Group-wise K-anonymity meets (ε, δ) Differentially Privacy Scheme. 802-805 - Quanlong Guan, Yanchong Yu, Xiujie Huang, Liangda Fang, Chaobo He, Lusheng Wu, Weiqi Luo, Guanliang Chen:
Generating Privacy-preserving Educational Data Records with Diffusion Model. 806-809 - Zongwei Li, Wenkai Li, Xiaoqi Li, Yuqing Zhang:
StateGuard: Detecting State Derailment Defects in Decentralized Exchange Smart Contract. 810-813 - Hongyuan Su, Yu Zheng, Jingtao Ding, Depeng Jin, Yong Li:
Rumor Mitigation in Social Media Platforms with Deep Reinforcement Learning. 814-817 - Cristian Brokate, Manon Richard, Lisa Giordani, Jean Liénard:
SWATTING Spambots: Real-time Detection of Malicious Bots on X. 818-821 - Jeewon Ahn, Hong-Kyun Bae, Sang-Wook Kim:
Is the 'Impression Log' Beneficial to Evaluating News Recommender Systems? No, it is Not! 822-825 - Elyas Meguellati, Lei Han, Abraham Bernstein, Shazia W. Sadiq, Gianluca Demartini:
How Good are LLMs in Generating Personalized Advertisements? 826-829 - Junjie Huang, Guohao Cai, Jieming Zhu, Zhenhua Dong, Ruiming Tang, Weinan Zhang, Yong Yu:
Recall-Augmented Ranking: Enhancing Click-Through Rate Prediction Accuracy with Cross-Stage Data. 830-833 - Yen-Wen Lu, Yu-Che Tsai, Cheng-Te Li:
Burstiness-aware Bipartite Graph Neural Networks for Fraudulent User Detection on Rating Platforms. 834-837 - Jinqiu Jin, Sihao Ding, Wenjie Wang, Fuli Feng:
Understanding and Counteracting Feature-Level Bias in Click-Through Rate Prediction. 838-841 - Zubair Qazi, William Shiao, Evangelos E. Papalexakis:
GPT-generated Text Detection: Benchmark Dataset and Tensor-based Detection Method. 842-846 - Dawon Ahn, William Shiao, Arindam Khaled, Andrew Bauer, Stefanos Poulis, Evangelos E. Papalexakis:
Compact Interpretable Tensor Graph Multi-Modal News Embeddings. 847-850 - Haoye Chai, Tong Li, Fenyu Jiang, Shiyuan Zhang, Yong Li:
Knowledge Guided Conditional Diffusion Model for Controllable Mobile Traffic Generation. 851-854 - Run Huang, Souti Chattopadhyay:
A Tale of Two Communities: Exploring Academic References on Stack Overflow. 855-858 - Yiyue Qian, Tianyi Ma, Chuxu Zhang, Yanfang Ye:
Dual-level Hypergraph Contrastive Learning with Adaptive Temperature Enhancement. 859-862 - Hongbo Qiu, Renjie Sun, Chen Chen, Xiaoyang Wang, Ying Zhang:
Critical Nodes Detection: Node Merging Approach. 863-866 - Yushen Li, Jinpeng Wang, Tao Dai, Jieming Zhu, Jun Yuan, Rui Zhang, Shu-Tao Xia:
RAT: Retrieval-Augmented Transformer for Click-Through Rate Prediction. 867-870 - Shuxian Bi, Wenjie Wang, Hang Pan, Fuli Feng, Xiangnan He:
Proactive Recommendation with Iterative Preference Guidance. 871-874 - Yuxuan Zhou, Jiaqi Chen, Yibo Wang, Yuzhe Tang, Guofei Gu:
Towards Understanding Crypto-Asset Risks on Ethereum Caused by Key Leakage on the Internet. 875-878 - Haggai Roitman, Alexander Nus, Yotam Eshel:
Personalized Ordering of Recommendation-Modules on an E-Commerce Homepage. 879-882 - Eun-Cheol Choi, Emilio Ferrara:
FACT-GPT: Fact-Checking Augmentation via Claim Matching with LLMs. 883-886 - Harald Steck, Chaitanya Ekanadham, Nathan Kallus:
Is Cosine-Similarity of Embeddings Really About Similarity? 887-890 - Da Li, Shigenaga Hamaguchi, Ruman Suyama, Shinsuke Nakajima, Yukiko Kawai:
Dynamic Search Results Re-ranking Method by Advertisement Relevance Feedback based on Users' Unconscious Expectations for Listing Advertisement. 891-894 - Shion Ishikawa, Yun Ching Liu, Young-joo Chung, Yu Hirate:
Position Bias Estimation with Item Embedding for Sparse Dataset. 895-898 - Sara Ahmadian, Sreenivas Gollapudi, Kostas Kollias, Vivek Kumar, Ameya Velingker, Santhoshini Velusamy:
Efficient Location Sampling Algorithms for Road Networks. 899-902 - Yan Han, Kaiqi Chen, Shan Li, Ji Yan, Baoxu Shi, Lei Zhang, Fei Chen, Jaewon Yang, Yunpeng Xu, Xiaoqiang Luo, Qi He, Ying Ding, Zhangyang Wang:
Turning A Curse into A Blessing: Data-Aware Memory-Efficient Training of Graph Neural Networks by Dynamic Exiting. 903-906 - Peide Zhu, Na Li, Zhiming Zhao:
Retrieval-augmented Query Reformulation for Heterogeneous Research Asset Retrieval in Virtual Research Environment. 907-910 - Gokul Thota, Vasudeva Varma:
A Category-agnostic Graph Attention-based Approach for Determining Notability of Articles for Wikipedia. 911-914 - Minjie Yuan, Mengyu Xiang, Yuxuan Song, Qiudan Li, Jinye Fu, Daniel Dajun Zeng:
A Heterogeneous Network fused with Context-aware Contrastive Learning for Sarcasm Topic-Target Pair Identification. 915-918 - Qijiong Liu, Hengchang Hu, Jiahao Wu, Jieming Zhu, Min-Yen Kan, Xiao-Ming Wu:
Discrete Semantic Tokenization for Deep CTR Prediction. 919-922 - Xiaoyu Xu, Weiren Yu:
I-CoSim: Efficient Dynamic CoSimRank Retrieval on Evolving Networks. 923-926 - Andrea Peña-Calvin, Javier Arroyo, Andrew Schwartz, Samer Hassan:
Concentration of Power and Participation in Online Governance: the Ecosystem of Decentralized Autonomous Organizations. 927-930 - Xin Jie, Xixi Zhou, Chanfei Su, Zijun Zhou, Yuqing Yuan, Jiajun Bu, Haishuai Wang:
Disentangled Anomaly Detection For Multivariate Time Series. 931-934 - Yuxuan Lei, Jianxun Lian, Jing Yao, Mingqi Wu, Defu Lian, Xing Xie:
Aligning Language Models for Versatile Text-based Item Retrieval. 935-938 - Chiara Patricia Drolsbach, Nicolas Pröllochs:
Content Moderation on Social Media in the EU: Insights From the DSA Transparency Database. 939-942 - Jingyu Wang, Niantai Jing, Ziyao Liu, Jie Nie, Yuxin Qi, Chi-Hung Chi, Kwok-Yan Lam:
Object-level Copy-Move Forgery Image Detection based on Inconsistency Mining. 943-946 - Prabir Mondal, Siddharth Singh, Kushum, Sriparna Saha, Jyoti Prakash Singh, Brijraj Singh, Niranjan Pedanekar:
Efficacy of Large Language Models in Predicting Hindi Movies' Attributes: A Comprehensive Survey and Content-Based Analysis. 947-950 - Liang-bo Ning, Zeyu Dai, Jingran Su, Chao Pan, Luning Wang, Wenqi Fan, Qing Li:
Interpretation-Empowered Neural Cleanse for Backdoor Attacks. 951-954 - Nishat Ara Tania, Md Rayhanul Masud, Md Omar Faruk Rokon, Qian Zhang, Michalis Faloutsos:
Who is Creating Malware Repositories on GitHub and Why? 955-958 - Wenyu Li, Yinuo Zhu, Xin Lin, Ming Li, Ziyue Jiang, Ziqian Zeng:
Zero-shot Explainable Mental Health Analysis on Social Media by Incorporating Mental Scales. 959-962 - Pier Paolo Tricomi, Luca Pajola, Luca Pasa, Mauro Conti:
"All of Me": Mining Users' Attributes from their Public Spotify Playlists. 963-966 - Dong Yao, Jieming Zhu, Jiahao Xun, Shengyu Zhang, Zhou Zhao, Liqun Deng, Wenqiao Zhang, Zhenhua Dong, Xin Jiang:
MART: Learning Hierarchical Music Audio Representations with Part-Whole Transformer. 967-970 - Qijiong Liu, Jieming Zhu, Quanyu Dai, Xiao-Ming Wu:
Benchmarking News Recommendation in the Era of Green AI. 971-974 - Yong Guan, Dingxiao Liu, Jinchen Ma, Hao Peng, Xiaozhi Wang, Lei Hou, Ru Li:
Event GDR: Event-Centric Generative Document Retrieval. 975-978 - Chenguang Du, Hao Geng, Deqing Wang, Fuzhen Zhuang, Zhiqiang Zhang, Lanshan Zhang:
Exploiting Associations among Multi-Aspect Node Properties in Heterogeneous Graphs for Link Prediction. 979-982
Demo
- Angelina Parfenova Lucerne:
Automating the Information Extraction from Semi-Structured Interview Transcripts. 983-986 - Georgia Troullinou, Kostas Stefanidis, Dimitris Plexousakis, Haridimos Kondylakis:
DIAERESIS: Knowledge Graph Partitioning for Efficient Query Answering. 987-990 - Yujuan Ding, Yunshan Ma, Wenqi Fan, Yige Yao, Tat-Seng Chua, Qing Li:
FashionReGen: LLM-Empowered Fashion Report Generation. 991-994 - Tomoki Ito, Shun Nakagawa:
Tender Document Analyzer with the Combination of Supervised Learning and LLM-based Improver. 995-998 - Xinxi Jiang, Xiang Li, Qifeng Zhou, Qing Wang:
GRACE: Generating Cause and Effect of Disaster Sub-Events from Social Media Text. 999-1002 - Benjamin Hättasch, Carsten Binnig:
Box2Go: Collaborative Interactive Infobox Filling. 1003-1006 - Carrie Wang, Wentao Ning, Xiaoman Wu, Reynold Cheng:
HINCare: An Intelligent Helper Recommender System for Elderly Care. 1007-1010 - Jeong-Min Park, Myung-Hwan Jang, Sang-Wook Kim:
RealGraphGPUWeb: A Convenient and Efficient GPU-Based Graph Analysis Platform on the Web. 1011-1014 - Azanzi Jiomekong, Sören Auer, Allard Oelen:
Linked Open Literature Review using the Neuro-symbolic Open Research Knowledge Graph. 1015-1018 - Yushun Dong, Zhenyu Lei, Zaiyi Zheng, Song Wang, Jing Ma, Alex Jing Huang, Chen Chen, Jundong Li:
PyGDebias: A Python Library for Debiasing in Graph Learning. 1019-1022 - Jiayi Wang, Ke Wang, Fengming Zhou, Chengyu Wang, Zhiyong Fu, Zeyu Feng, Yu Zhao, Yuqi Zhang:
Synslator: An Interactive Machine Translation Tool with Online Learning. 1023-1026 - Darryl Ong, Quoc-Tuan Truong, Hady W. Lauw:
Cornac-AB: An Open-Source Recommendation Framework with Native A/B Testing Integration. 1027-1030 - Jianxun Lian, Yuxuan Lei, Xu Huang, Jing Yao, Wei Xu, Xing Xie:
RecAI: Leveraging Large Language Models for Next-Generation Recommender Systems. 1031-1034 - Mingyue Cheng, Hao Zhang, Jiqian Yang, Qi Liu, Li Li, Xin Huang, Liwei Song, Zhi Li, Zhenya Huang, Enhong Chen:
Towards Personalized Evaluation of Large Language Models with An Anonymous Crowd-Sourcing Platform. 1035-1038 - Abhiroop Tippavajjula, Primal Pappachan, Anna Cinzia Squicciarini, Jose Such:
ACCORD: Constraint-driven Mediation of Multi-user Conflicts in Cloud Services. 1039-1042 - Huahang Li, Shuangyin Li, Fei Hao, Chen Jason Zhang, Yuanfeng Song, Lei Chen:
BoostER: Leveraging Large Language Models for Enhancing Entity Resolution. 1043-1046 - Yi Li, Xinkui Zhao, Chen Chen, Shengye Pang, Zhengyang Zhou, Jianwei Yin:
Scenario-Driven Cyber-Physical-Social System: Intelligent Workflow Generation Based on Capability. 1047-1050 - Nolwenn Bernard, Ivica Kostric, Weronika Lajewska, Krisztian Balog, Petra Galuscáková, Vinay Setty, Martin G. Skjæveland:
PKG API: A Tool for Personal Knowledge Graph Management. 1051-1054 - Mohamed Ragab, Yury Savateev, Helen Oliver, Reza Moosaei, Thanassis Tiropanis, Alexandra Poulovassilis, Adriane Chapman, George Roussos:
A Demonstration of Decentralized Search Over Solid Personal Online Datastores. 1055-1058 - Julien Aimonier-Davat, Minh Hoang Dang, Pascal Molli, Brice Nédelec, Hala Skaf-Molli:
Fediscount: Shopping Online at a Federated Store Using FedUP as SPARQL Federation Engine. 1059-1062 - Ming Shan Hee, Karandeep Singh, Charlotte Ng Si Min, Kenny Tsu Wei Choo, Roy Ka-Wei Lee:
Brinjal: A Web-Plugin for Collaborative Hate Speech Detection. 1063-1066 - Vidminas Vizgirda, Rui Zhao, Naman Goel:
SocialGenPod: Privacy-Friendly Generative AI Social Web Applications with Decentralised Personal Data Stores. 1067-1070 - Frances Albert Santos, Thiago H. Silva, Leandro A. Villas:
REAL-UP: Urban Perceptions From LBSNs Helping Moving Real-Estate Market to the Next Level. 1071-1074
Resource
- Matteo Attimonelli, Danilo Danese, Daniele Malitesta, Claudio Pomo, Giuseppe Gassi, Tommaso Di Noia:
Ducho 2.0: Towards a More Up-to-Date Unified Framework for the Extraction of Multimodal Features in Recommendation. 1075-1078 - Ralph Peeters, Alexander Brinkmann, Christian Bizer:
The Web Data Commons Schema.org Table Corpora. 1079-1082 - ChungYi Lin, Shen-Lung Tung, Hung-Ting Su, Winston H. Hsu:
Tel2Veh: Fusion of Telecom Data and Vehicle Flow to Predict Camera-Free Traffic via a Spatio-Temporal Framework. 1083-1086 - Pierre Maillot, Jennie Andersen, Sylvie Cazalens, Catherine Faron, Fabien Gandon, Philippe Lamarre, Franck Michel:
An Open Platform for Quality Measures in a Linked Data Index. 1087-1090 - Philipp Christmann, Rishiraj Saha Roy, Gerhard Weikum:
CompMix: A Benchmark for Heterogeneous Question Answering. 1091-1094 - Pranav Kasela, Marco Braga, Gabriella Pasi, Raffaele Perego:
SE-PQA: Personalized Community Question Answering. 1095-1098 - Yuxuan Yao, Sichun Luo, Haohan Zhao, Guanzhi Deng, Linqi Song:
Can LLM Substitute Human Labeling? A Case Study of Fine-grained Chinese Address Entity Recognition Dataset for UAV Delivery. 1099-1102 - Lionel Tailhardat, Benjamin Stach, Yoan Chabot, Raphaël Troncy:
Graphameleon: Relational Learning and Anomaly Detection on Web Navigation Traces Captured as Knowledge Graphs. 1103-1106
History of the Web
- Simon S. Woo:
Revisiting 30 years of the Network Time Protocol. 1107-1110 - Thomas Steiner:
Toward Making Opaque Web Content More Accessible: Accessibility From Adobe Flash to Canvas-Rendered Apps. 1111-1114 - Ehsan ul Haq, Yiming Zhu, Pan Hui, Gareth Tyson:
History in Making: Political Campaigns in the Era of Artificial Intelligence-Generated Content. 1115-1118 - Lucas Vogel, Thomas Springer, Matthias Wählisch:
From Files to Streams: Revisiting Web History and Exploring Potentials for Future Prospects. 1119-1122 - Reinaldo Ferraz:
Me, the Web and Digital Accessibility. 1123-1125 - Zheng Wei, Xian Xu, Pan Hui:
Digital Democracy at Crossroads: A Meta-Analysis of Web and AI Influence on Global Elections. 1126-1129
Health Day
- Hang Lv, Zehai Chen, Yacong Yang, Guofang Ma, Yanchao Tan, Carl Yang:
BoxCare: A Box Embedding Model for Disease Representation and Diagnosis Prediction in Healthcare Data. 1130-1133 - Ganjun Liu, Xiaohui Hou, Meng Ge, Tao Zhang, Haizhou Li:
A Non-Intrusive Approach to Assessing Dysarthria Severity: Advancing Clinical Diagnosis. 1134-1137 - Runze Yan, Neal K. Bhatia, Faisal M. Merchant, Alex Fedorov, Ran Xiao, Cheng Ding, Xiao Hu:
Enabling Pre-Shock State Detection using Electrogram Signals from Implantable Cardioverter-Defibrillators. 1138-1141 - Tianjian Ouyang, Xin Zhang, Zhenyu Han, Yu Shang, Yong Li:
Health CLIP: Depression Rate Prediction Using Health Related Features in Satellite and Street View Images. 1142-1145 - Yaoqi Guo, Yun Ma, Zijian Shao, Weichen Bi, Yanfeng Wang:
AI-based Prediction of Catheter-related Thrombosis Risk for Cancer Patients. 1146-1149 - Laura Carmichael, Steve Taylor, Adriane Chapman, Michael J. Boniface:
AI in Health and Social Care: A Methodology for Privacy Risk Modeling and Simulation. 1150-1153 - Mohamed Ragab, Yury Savateev, Helen Oliver, Thanassis Tiropanis, Alexandra Poulovassilis, Adriane Chapman, George Roussos:
Unlocking the Potential of Health Data with Decentralised Search in Personal Health Datastores. 1154-1157 - Adriane Chapman, Chloe L. Harrison, Caroline Jones, James Thornton, Rose Worley, Jeremy C. Wyatt:
Sociotechnical Considerations for Accessibility and Equity in AI for Healthcare. 1158-1161 - Jiaying Lu, Shifan Zhao, Wenjing Ma, Hui Shao, Xiao Hu, Yuanzhe Xi, Carl Yang:
Uncertainty-Aware Pre-Trained Foundation Models for Patient Risk Prediction via Gaussian Process. 1162-1165 - Yanchao Tan, Hengyu Zhang, Zihao Zhou, Guofang Ma, Fan Wang, Weiming Liu, Xinting Liao, Vicki Stover Hertzberg, Carl Yang:
Enhancing Progressive Diagnosis Prediction in Healthcare with Continuous Normalizing Flows. 1166-1169 - Xinyuan Zhu, Xiaohan Ren, Wentao Shi, Changming Wang, Xuehan Liu, Yuqing Liu, Tao Tao, Fuli Feng:
Improving Prostate Cancer Risk Prediction through Partial AUC Optimization. 1170-1173
PhD Symposium
- Ziyi Guo:
Online Disinformation and Generative Language Models: Motivations, Challenges, and Mitigations. 1174-1177 - Li Quan:
Distributed Transparent Data Layer for Next Generation Blockchains. 1178-1181 - Rochana Chaturvedi:
Temporal Knowledge Graph Extraction and Modeling across Multiple Documents for Health Risk Prediction. 1182-1185 - Bingqiao Luo:
When Crypto Economics Meet Graph Analytics and Learning. 1186-1189 - Wentao Shi:
Towards Reliable and Efficient Long-Term Recommendation with Large Foundation Models. 1190-1193 - Shingo Higashiguchi:
Mining Interest Diffusion in Online Activity Data Streams. 1194-1197 - Levi Kaplan, Piotr Sapiezynski:
Comprehensively Auditing the TikTok Mobile App. 1198-1201 - Elizaveta Chernenko:
Outgroup Dehumanisation in Telegram - the Role of Ingroup Identity and Perception. 1202-1205 - Yutong Qu:
Leveraging Knowledge-aware Methodologies for Multi-document Summarization. 1206-1209 - Monika Jain:
Knowledge Enabled Relation Extraction. 1210-1213 - Andrzej Meler:
In The Beginning, Let There Be The Word: Challenges and Insights in Applying Sentiment Analysis to Social Research. 1214-1217 - Jiahao Zhang:
Graph Unlearning with Efficient Partial Retraining. 1218-1221 - Galen Cassebeer Weld:
Quantifying Governance of Online Communities at Web Scale. 1222-1225 - Jia Lin Cheoh:
Modeling Multidimensional Cognitive Search in Creativity with Generalized Additive Model. 1226-1229 - Aviv Yaish:
Incentives in the Ether: Practical Cryptocurrency Economics & Security. 1230-1233
Tutorials
- Heydar Soudani, Roxana Petcu, Evangelos Kanoulas, Faegheh Hasibi:
Data Augmentation for Conversational AI. 1234-1237 - Yubao Tang, Ruqing Zhang, Weiwei Sun, Jiafeng Guo, Maarten de Rijke:
Recent Advances in Generative Information Retrieval. 1238-1241 - Yang Deng, An Zhang, Yankai Lin, Xu Chen, Ji-Rong Wen, Tat-Seng Chua:
Large Language Model Powered Agents in the Web. 1242-1245 - Yikun Ban, Yunzhe Qi, Jingrui He:
Neural Contextual Bandits for Personalized Recommendation. 1246-1249 - Sourav S. Bhowmick, Hui Li, S. H. Annabel Chen, Yining Zhao:
Social Psychology Meets Social Computing: State of the Art and Future Directions. 1250-1253 - Krisztian Balog, ChengXiang Zhai:
Tutorial on User Simulation for Evaluating Information Access Systems on the Web. 1254-1257 - Flavio Chierichetti, Ravi Kumar, Andrew Tomkins:
Discrete Choice and Applications. 1258-1259 - Aristides Gionis, Lutz Oettershagen, Ilie Sarpe:
Mining Temporal Networks. 1260-1263 - Chuan Shi, Cheng Yang, Yuan Fang, Lichao Sun, Philip S. Yu:
Lecture-style Tutorial: Towards Graph Foundation Models. 1264-1267 - Jizhi Zhang, Keqin Bao, Yang Zhang, Wenjie Wang, Fuli Feng, Xiangnan He:
Large Language Models for Recommendation: Progresses and Future Directions. 1268-1271 - Jieming Zhu, Xin Zhou, Chuhan Wu, Rui Zhang, Zhenhua Dong:
Multimodal Pretraining and Generation for Recommendation: A Tutorial. 1272-1275 - Ming Shan Hee, Rui Cao, Tanmoy Chakraborty, Roy Ka-Wei Lee:
Understanding (Dark) Humour with Internet Meme Analysis. 1276-1279 - Hongzhi Yin, Tong Chen, Liang Qu, Bin Cui:
On-Device Recommender Systems: A Tutorial on The New-Generation Recommendation Paradigm. 1280-1283 - Chao Huang, Xubin Ren, Jiabin Tang, Dawei Yin, Nitesh V. Chawla:
Large Language Models for Graphs: Progresses and Directions. 1284-1287 - Badih Ghazi, Ravi Kumar, Pasin Manurangsi:
Privacy in Web Advertising: Analytics and Modeling. 1288-1289 - Chen Gao, Fengli Xu, Xu Chen, Xiang Wang, Xiangnan He, Yong Li:
Simulating Human Society with Large Language Model Agents: City, Social Media, and Economic System. 1290-1293 - Lihui Liu, Zihao Wang, Jiaxin Bai, Yangqiu Song, Hanghang Tong:
New Frontiers of Knowledge Graph Reasoning: Recent Advances and Future Trends. 1294-1297 - Delvin Ce Zhang, Menglin Yang, Rex Ying, Hady W. Lauw:
Text-Attributed Graph Representation Learning: Methods, Applications, and Challenges. 1298-1301 - Yizhou Zhang, Karishma Sharma, Lun Du, Yan Liu:
Toward Mitigating Misinformation and Social Media Manipulation in LLM Era. 1302-1305 - Xin Wang, Yuwei Zhou, Hong Chen, Wenwu Zhu:
Curriculum Learning: Theories, Approaches, Applications, Tools, and Future Directions in the Era of Large Language Models. 1306-1310
[PromptEng] First International Workshop on Prompt Engineering for Pre-Trained Language Models
- Damien Graux, Sébastien Montella, Hajira Jabeen, Claire Gardent, Jeff Z. Pan:
[PromptEng] First International Workshop on Prompt Engineering for Pre-Trained Language Models. 1311-1312 - Daisuke Ikoma, Eisuke Aoki, Tomoki Taniguchi, Shinya Suzuki, Tomoko Ohkuma:
Automatic Design Summary Generation with Generative AI. 1313-1317 - Patrick Bareiß, Roman Klinger, Jeremy Barnes:
English Prompts are Better for NLI-based Zero-Shot Emotion Classification than Target-Language Prompts. 1318-1326 - Ho Sung Shim, Hyoungjun Park, Kyuhan Lee, Jang-Sun Park, Seonhye Kang:
Data Augmentation for Smishing Detection: A Theory-based Prompt Engineering Approach. 1327-1328 - Awais Ahmed, Mengshu Hou, Rui Xi, Xiaoyang Zeng, Syed Attique Shah:
Prompt-Eng: Healthcare Prompt Engineering: Revolutionizing Healthcare Applications with Precision Prompts. 1329-1337 - Anuja Tayal, Aman Tyagi:
Dynamic Contexts for Generating Suggestion Questions in RAG Based Conversational Systems. 1338-1341
10th WebAndTheCity -- The Web and Smart Cities Workshop
- Leonidas G. Anthopoulos, Marijn Janssen, Vishanth Weerakkody:
WebAndTheCity'24: 10th International Workshop on The Web and Smart Cities. 1342-1343 - Ziyi Zhang, Shaogang Ren, Xiaoning Qian, Nick Duffield:
Towards Invariant Time Series Forecasting in Smart Cities. 1344-1350 - Zefeng Chen, Wensheng Gan, Jiayi Sun, Jiayang Wu, Philip S. Yu:
Open Metaverse: Issues, Evolution, and Future. 1351-1360 - Dirk Ahlers, Bjørn Ove Berthelsen, Tor Rune Skoglund, Kelly Riedesel:
Implementing Sustainable Urban Mobility Transitions in Positive Energy Districts. 1361-1366 - Leonidas G. Anthopoulos, Ioannis Nikolaou:
Homogenizing Data Flows in Smart Cities: Value-driven use Cases in the Era of Citiverse. 1367-1371
14th Temporal Web Analytics Workshop (TempWeb)
- Marc Spaniol, Omar Alonso, Ricardo Baeza-Yates:
14th Temporal Web Analytics Workshop (TempWeb). 1372 - Stefan Dietze:
Archiving and Temporal Analysis of Behavioral Web Data - Tales from the Inside. 1373-1374 - Dirk Ahlers:
Spatio-Temporal Challenges in Understanding your (Smart) City. 1375 - Karolina Sliwa, Ema Kusen, Mark Strembeck:
A Case Study Comparing Twitter Communities Detected by the Louvain and Leiden Algorithms During the 2022 War in Ukraine. 1376-1381 - Michael Dinzinger, Michael Granitzer:
A Longitudinal Study of Content Control Mechanisms. 1382-1387 - Nishtha Madaan, Prateek Chaudhury, Nishant Kumar, Srikanta Bedathur:
TransDrift: Modeling Word-Embedding Drift using Transformer. 1388-1393 - Zhen Jia, Philipp Christmann, Gerhard Weikum:
TIQ: A Benchmark for Temporal Question Answering with Implicit Time Constraints. 1394-1399 - Xingming Chen, Qing Li:
Causality-driven User Modeling for Sequential Recommendations over Time. 1400-1406
AI Driven Online Advertising: Market Design, Generative AI, and Ethics Workshop
- Fengxiang He, Mengnan Du, Aris Filos-Ratsikas, Lu Cheng, Qingquan Song, Min Lin, John Vines:
AI Driven Online Advertising: Market Design, Generative AI, and Ethics. 1407-1409 - Ankan Dash, Guiling Wang, Tao Han:
Attentive Partial Convolution for RGBD Image Inpainting. 1410-1417
Beyond Facts: 4th International Workshop on Computational Methods for Online Discourse Analysis
- Konstantin Todorov, Pavlos Fafalios, Stefan Dietze, Dimitar Dimitrov:
Beyond Facts: 4th International Workshop on Computational Methods for Online Discourse Analysis. 1418-1421 - Tomoki Fukuma, Koki Noda, Yuta Yamamoto, Takaya Hoshi, Yoshiharu Ichikawa, Kyosuke Kambe, Yu Masubuchi, Fujio Toriumi:
Comparative Analysis of Discussion Intensity and Semantic Diversity in Early vs. Late Engagers: A Study of Japanese Tweets about ChatGPT. 1422-1430 - Kyle Hamilton, Luca Longo, Bojan Bozic:
GPT Assisted Annotation of Rhetorical and Linguistic Features for Interpretable Propaganda Technique Detection in News Text. 1431-1440 - Eun-Cheol Choi, Emilio Ferrara:
Automated Claim Matching with Large Language Models: Empowering Fact-Checkers in the Fight Against Misinformation. 1441-1449 - Henrique S. Xavier, Diogo Cortiz, Mateus Silvestrin, Ana Luísa Freitas, Letícia Yumi Nakao Morello, Fernanda Naomi Pantaleão, Gabriel Gaudencio do Rêgo:
A Bayesian Framework for Measuring Association and Its Application to Emotional Dynamics in Web Discourse. 1450-1458 - Luca Luceri, Eric Boniardi, Emilio Ferrara:
Leveraging Large Language Models to Detect Influence Campaigns on Social Media. 1459-1467 - Mayor Inna Gurung, Md Monoarul Islam Bhuiyan, Ahmed Al-Taweel, Nitin Agarwal:
Decoding YouTube's Recommendation System: A Comparative Study of Metadata and GPT-4 Extracted Narratives. 1468-1472 - Katerina Haniková, David Chudán, Vojtech Svátek, Peter Vajdecka, Raphaël Troncy, Filip Vencovský, Jana Syrovátková:
Towards Fact-check Summarization Leveraging on Argumentation Elements Tied to Entity Graphs. 1473-1481
DCAI: Data-centric Artificial Intelligence Workshop
- Wei Jin, Haohan Wang, Daochen Zha, Qiaoyu Tan, Yao Ma, Sharon Li, Su-In Lee:
DCAI: Data-centric Artificial Intelligence. 1482-1485 - Jun Zhuang:
Robust Data-centric Graph Structure Learning for Text Classification. 1486-1495 - Feihu Huang, Peiyu Yi, Shan Li, Haiwen Xu:
Data Quality-based Gradient Optimization for Recurrent Neural Networks. 1496-1501 - Charles Dickens, Edward W. Huang, Aishwarya Reganti, Jiong Zhu, Karthik Subbian, Danai Koutra:
Graph Coarsening via Convolution Matching for Scalable Graph Neural Network Training. 1502-1510 - Tian Zhang, Maofu Liu, Bingying Zhou:
CFinDEE: A Chinese Fine-Grained Financial Dataset for Document-Level Event Extraction. 1511-1520 - Koninika Pal, Hiba Arnaout, Simon Razniewski, Gerhard Weikum:
FASETS: Discovering Faceted Sets of Entities. 1521-1529 - Zezhong Fan, Xiaohan Li, Kaushiki Nag, Chenhao Fang, Topojoy Biswas, Jianpeng Xu, Kannan Achan:
Prompt Optimizer of Text-to-Image Diffusion Models for Abstract Concept Understanding. 1530-1537 - Ashish Mishra, Gyanaranjan Nayak, Suparna Bhattacharya, Tarun Kumar, Arpit Shah, Martin Foltin:
LLM-Guided Counterfactual Data Generation for Fairer AI. 1538-1545
FL@FM-TheWebConf'24: International Workshop on Federated Foundation Models for the Web
- Irwin King, Guodong Long, Zenglin Xu, Han Yu:
FL@FM-TheWebConf'24: International Workshop on Federated Foundation Models for the Web. 1546-1547 - Yun-Wei Chu, Dong-Jun Han, Christopher G. Brinton:
Only Send What You Need: Learning to Communicate Efficiently in Federated Multilingual Machine Translation. 1548-1557 - Zhihan Guo, Yifei Zhang, Zhuo Zhang, Zenglin Xu, Irwin King:
FedHLT: Efficient Federated Low-Rank Adaption with Hierarchical Language Tree for Multilingual Modeling. 1558-1567 - Fiona Victoria Stanley Jothiraj, Afra Mashhadi:
Phoenix: A Federated Generative Diffusion Model. 1568-1577 - Zengxiang Li, Zhaoxiang Hou, Hui Liu, Tongzhi Li, Chengyi Yang, Ying Wang, Chao Shi, Longfei Xie, Weishan Zhang, Liang Xu, Zelei Liu:
Federated Learning in Large Model Era: Vision-Language Model for Smart City Safety Operation Management. 1578-1585
Information Retrieval Meets Large Language Models Workshop
- Zheng Liu, Yujia Zhou, Yutao Zhu, Jianxun Lian, Chaozhuo Li, Zhicheng Dou, Defu Lian, Jian-Yun Nie:
Information Retrieval Meets Large Language Models. 1586-1589 - Wenting Zhao, Zhongfen Deng, Shweta Yadav, Philip S. Yu:
Heterogeneous Knowledge Grounding for Medical Question Answering with Retrieval Augmented Large Language Model. 1590-1594 - Wei Ji, Ruiqi Shi, Yinwei Wei, Shanshan Zhao, Roger Zimmermann:
Weakly Supervised Video Moment Retrieval via Location-irrelevant Proposal Learning. 1595-1603 - Yang Wang, Zheyi Sha, Kunhai Lin, Chaobing Feng, Kunhong Zhu, Lipeng Wang, Xuewu Jiao, Fei Huang, Chao Ye, Dengwu He, Zhi Guo, Shuanglong Li, Lin Liu:
One-step Reach: LLM-based Keyword Generation for Sponsored Search Advertising. 1604-1608 - Michael Antonios Kruse Ayoub, Zhan Su, Qiuchi Li:
A Case Study of Enhancing Sparse Retrieval using LLMs. 1609-1615 - Prateek Sancheti, Kamalakar Karlapalem, Kavita Vemuri:
LLM Driven Web Profile Extraction for Identical Names. 1616-1625 - Sriram Srinivasan, Stephen Sheng, Rishabh Deshmukh, Chen Luo, Yesh Dattatreya, Subhajit Sanyal, S. V. N. Vishwanathan:
Bi-CAT: Improving Robustness of LLM-based Text Rankers to Conditional Distribution Shifts. 1626-1633 - Fengran Mo, Bole Yi, Kelong Mao, Chen Qu, Kaiyu Huang, Jian-Yun Nie:
ConvSDG: Session Data Generation for Conversational Search. 1634-1642
Large Language Models for Graph Learning Workshop
- Yujuan Ding, Wenqi Fan, Xiao Huang, Qing Li:
Large Language Models for Graph Learning. 1643-1646
The 12th International Workshop on Natural Language Processing for Social Media (SocialNLP 2024)
- Cheng-Te Li, Lun-Wei Ku, Yu-Che Tsai:
The 12th International Workshop on Natural Language Processing for Social Media (SocialNLP 2024). 1647-1648 - Kosuke Wakasugi, Yu Suzuki, Akiyo Nadamoto:
Analysis of the Effect between the Information Type on SNSs and User Attributes during Disaster. 1649-1656 - Zhiqiang Hu, Thao Thanh Nguyen, Yujia Hu, Chia-Yu Hung, Ming Shan Hee, Chun-Wei Seah, Roy Ka-Wei Lee:
Contrastive Disentanglement for Authorship Attribution. 1657-1666 - Kyuhan Lee, Sudha Ram:
Deep Learning for Hate Speech Detection: A Personality-based Approach. 1667-1671 - Xi Cao, Nuo Qun, Quzong Gesang, Yulei Zhu, Trashi Nyima:
Multi-Granularity Tibetan Textual Adversarial Attack Method Based on Masked Language Model. 1672-1680 - Faseela Abdullakutty, Usman Naseem:
Decoding Memes: A Comprehensive Analysis of Late and Early Fusion Models for Explainable Meme Analysis. 1681-1689 - Sajad Sotudeh, Nazli Goharian:
SigBart: Enhanced Pre-training via Salient Content Representation Learning for Social Media Summarization. 1690-1694 - Md Al Amin, Lu Liu:
Understanding the Impact of COVID-19 on Online Eating Disorder Communities on Reddit. 1695-1704
The 1st Workshop on Decentralised Search and Recommendation
- Mohamed Ragab, Yury Savateev, Wenjie Wang, Reza Moosaei, Thanassis Tiropanis, Alexandra Poulovassilis, Adriane Chapman, Helen Oliver, George Roussos:
The 1st Workshop on Decentralised Search and Recommendation. 1705-1708 - Ruben Taelman:
Requirements and Challenges for Query Execution across Decentralized Environments. 1709-1711 - Nayil Arana, Mohamed Ragab, Thanassis Tiropanis:
An Investigation into the Feasibility of Performing Federated Learning on Social Linked Data Servers. 1712-1714
The 2nd Workshop on Recommendation with Generative Models
- Wenjie Wang, Yang Zhang, Xinyu Lin, Fuli Feng, Weiwen Liu, Yong Liu, Xiangyu Zhao, Wayne Xin Zhao, Yang Song, Xiangnan He:
The 2nd Workshop on Recommendation with Generative Models. 1715-1718 - Yong Niu, Xing Xing, Zhichun Jia, Ruidi Liu, Mindong Xin, Jianfu Cui:
Diffusion Recommendation with Implicit Sequence Influence. 1719-1725 - Lixi Zhu, Xiaowen Huang, Jitao Sang:
How Reliable is Your Simulator? Analysis on the Limitations of Current LLM-based User Simulators for Conversational Recommendation. 1726-1732 - Haokai Ma, Yimeng Yang, Lei Meng, Ruobing Xie, Xiangxu Meng:
Multimodal Conditioned Diffusion Model for Recommendation. 1733-1740
The 3rd International Cryptoasset Analytics Workshop (CAAW)
- Bernhard Haslhofer, Friedhelm Victor, Jiahua Xu, Kwok Yan Lam:
CAAW'24: The 3rd International Cryptoasset Analytics Workshop. 1741 - Thomas Niedermayer, Pietro Saggese, Bernhard Haslhofer:
Detecting Financial Bots on the Ethereum Blockchain. 1742-1751 - Mary Milad, Christina Ovezik, Dimitris Karakostas, Daniel W. Woods:
Statistical Confidence in Mining Power Estimates for PoW Blockchains. 1752-1760 - Robin Fritsch, Andrea Canidio:
Measuring Arbitrage Losses and Profitability of AMM Liquidity. 1761-1767 - Alex Márk Kovács, István András Seres:
Anonymity Analysis of the Umbra Stealth Address Scheme on Ethereum. 1768-1775 - Chuanshan Huang, Tao Yan, Claudio J. Tessone:
Seamlessly Transferring Assets through Layer-0 Bridges: An Empirical Analysis of Stargate Bridge's Architecture and Dynamics. 1776-1784
TrustLOG: The Second Workshop on Trustworthy Learning on Graphs
- Jingrui He, Jian Kang, Fatemeh Nargesian, Haohui Wang, An Zhang, Dawei Zhou:
TrustLOG: The Second Workshop on Trustworthy Learning on Graphs. 1785-1788
The 1st International Workshop on Graph Foundation Models (GFM)
- Haitao Mao, Jianan Zhao, Xiaoxin He, Zhikai Chen, Qian Huang, Zhaocheng Zhu, Jian Tang, Micheal M. Bronstein, Xavier Bresson, Bryan Hooi, Haiyang Zhang, Xianfeng Tang, Luo Chen, Jiliang Tang:
The 1st International Workshop on Graph Foundation Models (GFM). 1789-1792 - N'Dah Jean Kouagou, Caglar Demir, Hamada M. Zahera, Adrian Wilke, Stefan Heindorf, Jiayi Li, Axel-Cyrille Ngonga Ngomo:
Universal Knowledge Graph Embeddings. 1793-1797 - Andreas Damianou, Francesco Fabbri, Paul Gigioli, Marco De Nadai, Alice Wang, Enrico Palumbo, Mounia Lalmas:
Towards Graph Foundation Models for Personalization. 1798-1802
First International Workshop on Multimodal Content Analysis for Social Good (MM4SG 2024)
- Surendrabikram Thapa, Usman Naseem, Roy Ka-Wei Lee, Mehwish Nasim:
Foreword for the First International Workshop on Multimodal Content Analysis for Social Good (MM4SG 2024). 1803-1804 - Soujanya Poria:
Understanding, Leveraging, and Improving Large Language Models. 1805 - Ashiqur R. KhudaBukhsh:
From Bollywood Son Preference to Moral Policing on Women in Iran - A 360° View of Gender Bias. 1806 - Lynnette Hui Xian Ng, Adrian Xuan Wei Lim, Roy Ka-Wei Lee:
Love-Hate Dataset: A Multi-Modal Multi-Platform Dataset Depicting Emotions in the 2023 Israel-Hamas War. 1807-1815 - Ali Braytee, Andy Shueh-Chih Yang, Ali Anaissi, Kunal Chaturvedi, Mukesh Prasad:
A Novel Dual-Pipeline based Attention Mechanism for Multimodal Social Sentiment Analysis. 1816-1822 - Chhavi Dhiman, Gaurav Kumar:
Textual Context guided Vision Transformer with Rotated Multi-Head Attention for Sentiment Analysis. 1823-1830 - Saurav Joshi, Filip Ilievski, Luca Luceri:
Contextualizing Internet Memes Across Social Media Platforms. 1831-1840 - Zhicheng Liu, Ali Braytee, Ali Anaissi, Guifu Zhang, Lingyun Qin, Junaid Akram:
Ensemble Pretrained Models for Multimodal Sentiment Analysis using Textual and Video Data Fusion. 1841-1848 - Junaid Rashid, Jungeun Kim, Anum Masood:
Unraveling the Tangle of Disinformation: A Multimodal Approach for Fake News Identification on Social Media. 1849-1853 - Surendrabikram Thapa, Farhan Ahmad Jafri, Kritesh Rauniyar, Mehwish Nasim, Usman Naseem:
RUHate-MM: Identification of Hate Speech and Targets using Multimodal Data from Russia-Ukraine Crisis. 1854-1863 - Shijing Chen, Usman Naseem, Imran Razzak, Flora D. Salim:
Unveiling Misogyny Memes: A Multimodal Analysis of Modality Effects on Identification. 1864-1871
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