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ORCIDACM Transactions on Information Systems, Volume 40
Volume 40, Number 1, January 2022
- Shubham Patil, Debopriyo Banerjee
, Shamik Sural:
A Graph Theoretic Approach for Multi-Objective Budget Constrained Capsule Wardrobe Recommendation. 1:1-1:33 - Yang Deng, Yuexiang Xie, Yaliang Li, Min Yang, Wai Lam, Ying Shen:
Contextualized Knowledge-aware Attentive Neural Network: Enhancing Answer Selection with Knowledge. 2:1-2:33 - Lei Guo, Hongzhi Yin, Tong Chen, Xiangliang Zhang, Kai Zheng:
Hierarchical Hyperedge Embedding-Based Representation Learning for Group Recommendation. 3:1-3:27 - Amir Hossein Jadidinejad, Craig Macdonald, Iadh Ounis:
The Simpson's Paradox in the Offline Evaluation of Recommendation Systems. 4:1-4:22 - Seyed Ali Bahrainian, George Zerveas, Fabio Crestani, Carsten Eickhoff:
CATS: Customizable Abstractive Topic-based Summarization. 5:1-5:24 - Shanlei Mu, Yaliang Li, Wayne Xin Zhao, Siqing Li, Ji-Rong Wen:
Knowledge-Guided Disentangled Representation Learning for Recommender Systems. 6:1-6:26 - Hongyu Zang, Dongcheng Han, Xin Li, Zhifeng Wan, Mingzhong Wang:
CHA: Categorical Hierarchy-based Attention for Next POI Recommendation. 7:1-7:22 - Yuan Tian, Ke Zhou, Dan Pelleg:
What and How long: Prediction of Mobile App Engagement. 8:1-8:38 - Longxuan Ma, Mingda Li, Wei-Nan Zhang, Jiapeng Li, Ting Liu:
Unstructured Text Enhanced Open-Domain Dialogue System: A Systematic Survey. 9:1-9:44 - Lianghao Xia, Chao Huang, Yong Xu, Huance Xu, Xiang Li, Weiguo Zhang:
Collaborative Reflection-Augmented Autoencoder Network for Recommender Systems. 10:1-10:22 - Siqing Li, Yaliang Li, Wayne Xin Zhao, Bolin Ding, Ji-Rong Wen:
Interpretable Aspect-Aware Capsule Network for Peer Review Based Citation Count Prediction. 11:1-11:29 - Xiao Zhang, Meng Liu, Jianhua Yin, Zhaochun Ren, Liqiang Nie:
Question Tagging via Graph-guided Ranking. 12:1-12:23 - Joel Mackenzie, Matthias Petri, Alistair Moffat:
Anytime Ranking on Document-Ordered Indexes. 13:1-13:32 - Ruqing Zhang, Jiafeng Guo, Lu Chen, Yixing Fan, Xueqi Cheng:
A Review on Question Generation from Natural Language Text. 14:1-14:43 - Dazhong Shen, Chuan Qin, Hengshu Zhu, Tong Xu, Enhong Chen, Hui Xiong:
Joint Representation Learning with Relation-Enhanced Topic Models for Intelligent Job Interview Assessment. 15:1-15:36 - Hanrui Wu, Qingyao Wu, Michael K. Ng:
Knowledge Preserving and Distribution Alignment for Heterogeneous Domain Adaptation. 16:1-16:29 - Jiaxing Shen, Jiannong Cao, Oren Lederman, Shaojie Tang, Alex 'Sandy' Pentland:
User Profiling Based on Nonlinguistic Audio Data. 17:1-17:23 - Agnès Mustar, Sylvain Lamprier, Benjamin Piwowarski:
On the Study of Transformers for Query Suggestion. 18:1-18:27 - J. Shane Culpepper, Guglielmo Faggioli, Nicola Ferro, Oren Kurland:
Topic Difficulty: Collection and Query Formulation Effects. 19:1-19:36 - Wanyu Chen, Pengjie Ren, Fei Cai, Fei Sun, Maarten de Rijke:
Multi-interest Diversification for End-to-end Sequential Recommendation. 20:1-20:30
Volume 40, Number 2, April 2022
- Xiangnan He, Zhaochun Ren, Emine Yilmaz, Marc Najork, Tat-Seng Chua:
Graph Technologies for User Modeling and Recommendation: Introduction to the Special Issue - Part 1. 21:1-21:5 - Khashayar Gatmiry, Manuel Gomez-Rodriguez:
The Network Visibility Problem. 22:1-22:42 - Yue Cui, Hao Sun, Yan Zhao, Hongzhi Yin, Kai Zheng:
Sequential-Knowledge-Aware Next POI Recommendation: A Meta-Learning Approach. 23:1-23:22 - Hao Wang, Defu Lian, Hanghang Tong, Qi Liu, Zhenya Huang, Enhong Chen:
HyperSoRec: Exploiting Hyperbolic User and Item Representations with Multiple Aspects for Social-aware Recommendation. 24:1-24:28 - Xinyi Dai, Yunjia Xi, Weinan Zhang, Qing Liu, Ruiming Tang, Xiuqiang He, Jiawei Hou, Jun Wang, Yong Yu:
Beyond Relevance Ranking: A General Graph Matching Framework for Utility-Oriented Learning to Rank. 25:1-25:29 - Wei Zhang, Zeyuan Chen, Hongyuan Zha, Jianyong Wang:
Learning from Substitutable and Complementary Relations for Graph-based Sequential Product Recommendation. 26:1-26:28 - Zhiqiang Tian, Yezheng Liu, Jianshan Sun, Yuanchun Jiang, Mingyue Zhu:
Exploiting Group Information for Personalized Recommendation with Graph Neural Networks. 27:1-27:23 - Chengyuan Zhang, Yang Wang, Lei Zhu, Jiayu Song, Hongzhi Yin:
Multi-Graph Heterogeneous Interaction Fusion for Social Recommendation. 28:1-28:26 - Sheng Zhou, Xin Wang, Martin Ester, Bolang Li, Chen Ye, Zhen Zhang, Can Wang, Jiajun Bu:
Direction-Aware User Recommendation Based on Asymmetric Network Embedding. 29:1-29:23 - Xiaowen Huang, Jitao Sang, Jian Yu, Changsheng Xu:
Learning to Learn a Cold-start Sequential Recommender. 30:1-30:25 - Minghao Zhao, Qilin Deng, Kai Wang, Runze Wu, Jianrong Tao, Changjie Fan, Liang Chen, Peng Cui:
Bilateral Filtering Graph Convolutional Network for Multi-relational Social Recommendation in the Power-law Networks. 31:1-31:24 - Masoud Mansoury, Himan Abdollahpouri, Mykola Pechenizkiy, Bamshad Mobasher, Robin Burke:
A Graph-Based Approach for Mitigating Multi-Sided Exposure Bias in Recommender Systems. 32:1-32:31 - Jun Yang, Weizhi Ma, Min Zhang, Xin Zhou, Yiqun Liu, Shaoping Ma:
LegalGNN: Legal Information Enhanced Graph Neural Network for Recommendation. 33:1-33:29 - Shangsong Liang, Yupeng Luo, Zaiqiao Meng:
Profiling Users for Question Answering Communities via Flow-Based Constrained Co-Embedding Model. 34:1-34:38
- Ruihong Qiu, Zi Huang, Tong Chen, Hongzhi Yin:
Exploiting Positional Information for Session-Based Recommendation. 35:1-35:24 - Yaoxin Pan, Shangsong Liang, Jiaxin Ren, Zaiqiao Meng, Qiang Zhang:
Personalized, Sequential, Attentive, Metric-Aware Product Search. 36:1-36:29 - Hui Li, Lianyun Li, Guipeng Xv, Chen Lin, Ke Li, Bingchuan Jiang:
SPEX: A Generic Framework for Enhancing Neural Social Recommendation. 37:1-37:33 - Nengjun Zhu, Jian Cao, Xinjiang Lu, Hui Xiong:
Learning a Hierarchical Intent Model for Next-Item Recommendation. 38:1-38:28 - Tung Thanh Vuong, Salvatore Andolina, Giulio Jacucci, Tuukka Ruotsalo:
Does More Context Help? Effects of Context Window and Application Source on Retrieval Performance. 39:1-39:40 - Franco Maria Nardini, Roberto Trani, Rossano Venturini:
Fast Filtering of Search Results Sorted by Attribute. 40:1-40:24 - Lei Zhu, Chaoqun Zheng, Xu Lu, Zhiyong Cheng, Liqiang Nie, Huaxiang Zhang:
Efficient Multi-modal Hashing with Online Query Adaption for Multimedia Retrieval. 41:1-41:36
Volume 40, Number 3, July 2022
- Xiangnan He, Zhaochun Ren, Emine Yilmaz, Marc Najork, Tat-Seng Chua:
Introduction to the Special Section on Graph Technologies for User Modeling and Recommendation, Part 2. 42:1-42:5 - Jing Yao, Zhicheng Dou, Ji-Rong Wen:
Clarifying Ambiguous Keywords with Personal Word Embeddings for Personalized Search. 43:1-43:29 - Zhiwen Xie, Runjie Zhu, Kunsong Zhao, Jin Liu, Guangyou Zhou, Jimmy Xiangji Huang:
Dual Gated Graph Attention Networks with Dynamic Iterative Training for Cross-Lingual Entity Alignment. 44:1-44:30 - Jiarui Jin, Kounianhua Du, Weinan Zhang, Jiarui Qin, Yuchen Fang, Yong Yu, Zheng Zhang, Alexander J. Smola:
GraphHINGE: Learning Interaction Models of Structured Neighborhood on Heterogeneous Information Network. 45:1-45:35 - Lili Wang, Chenghan Huang, Ying Lu, Weicheng Ma, Ruibo Liu, Soroush Vosoughi:
Dynamic Structural Role Node Embedding for User Modeling in Evolving Networks. 46:1-46:21 - Ge Zhang, Zhao Li, Jiaming Huang, Jia Wu, Chuan Zhou, Jian Yang, Jianliang Gao:
eFraudCom: An E-commerce Fraud Detection System via Competitive Graph Neural Networks. 47:1-47:29 - Qianqian Xie, Yutao Zhu, Jimin Huang, Pan Du, Jian-Yun Nie:
Graph Neural Collaborative Topic Model for Citation Recommendation. 48:1-48:30 - Xingshan Zeng, Jing Li, Lingzhi Wang, Kam-Fai Wong:
Modeling Global and Local Interactions for Online Conversation Recommendation. 49:1-49:33 - Yadong Zhu, Xiliang Wang, Qing Li, Tianjun Yao, Shangsong Liang:
BotSpot++: A Hierarchical Deep Ensemble Model for Bots Install Fraud Detection in Mobile Advertising. 50:1-50:28 - Jiashu Zhao, Jimmy Xiangji Huang, Hongbo Deng, Yi Chang, Long Xia:
Are Topics Interesting or Not? An LDA-based Topic-graph Probabilistic Model for Web Search Personalization. 51:1-51:24 - Dan Li, Tong Xu, Peilun Zhou, Weidong He, Yanbin Hao, Yi Zheng, Enhong Chen:
Social Context-aware Person Search in Videos via Multi-modal Cues. 52:1-52:25 - Procheta Sen, Debasis Ganguly, Gareth J. F. Jones:
I Know What You Need: Investigating Document Retrieval Effectiveness with Partial Session Contexts. 53:1-53:30 - Surong Yan, Kwei-Jay Lin, Xiaolin Zheng, Haosen Wang:
LkeRec: Toward Lightweight End-to-End Joint Representation Learning for Building Accurate and Effective Recommendation. 54:1-54:28 - Suman Bhoi, Mong-Li Lee, Wynne Hsu, Andrew Hao Sen Fang, Ngiap Chuan Tan:
Personalizing Medication Recommendation with a Graph-Based Approach. 55:1-55:23
- Jiaul H. Paik, Yash Agrawal, Sahil Rishi, Vaishal Shah:
Truncated Models for Probabilistic Weighted Retrieval. 56:1-56:24 - Meng Chen, Lei Zhu, Ronghui Xu, Yang Liu, Xiaohui Yu, Yilong Yin:
Embedding Hierarchical Structures for Venue Category Representation. 57:1-57:29 - Jinyuan Fang, Shangsong Liang, Zaiqiao Meng, Maarten de Rijke:
Hyperspherical Variational Co-embedding for Attributed Networks. 58:1-58:36 - Srivatsa Ramesh Jayashree, Gaël Dias, Judith Jeyafreeda Andrew, Sriparna Saha, Fabrice Maurel, Stéphane Ferrari:
Multimodal Web Page Segmentation Using Self-organized Multi-objective Clustering. 59:1-59:49 - Yashar Moshfeghi, Alvaro Francisco Huertas-Rosero:
A Game Theory Approach for Estimating Reliability of Crowdsourced Relevance Assessments. 60:1-60:29 - Ameer Albahem, Damiano Spina, Falk Scholer, Lawrence Cavedon:
Component-based Analysis of Dynamic Search Performance. 61:1-61:47 - Edward Kai Fung Dang, Robert Wing Pong Luk, James Allan:
A Comparison between Term-Independence Retrieval Models for Ad Hoc Retrieval. 62:1-62:37 - Peijie Sun, Le Wu, Kun Zhang, Yu Su, Meng Wang:
An Unsupervised Aspect-Aware Recommendation Model with Explanation Text Generation. 63:1-63:29
Volume 40, Number 4, October 2022
- Yang Fang, Xiang Zhao, Peixin Huang, Weidong Xiao, Maarten de Rijke:
Scalable Representation Learning for Dynamic Heterogeneous Information Networks via Metagraphs. 64:1-64:27 - Weiyu Ji, Xiangwu Meng, Yujie Zhang:
STARec: Adaptive Learning with Spatiotemporal and Activity Influence for POI Recommendation. 65:1-65:40 - Jiafeng Guo, Yinqiong Cai, Yixing Fan, Fei Sun, Ruqing Zhang, Xueqi Cheng:
Semantic Models for the First-Stage Retrieval: A Comprehensive Review. 66:1-66:42 - Zhiqiang Pan, Fei Cai, Wanyu Chen, Honghui Chen:
Graph Co-Attentive Session-based Recommendation. 67:1-67:31 - Chuxu Zhang, Julia Kiseleva, Sujay Kumar Jauhar, Ryen W. White:
Grounded Task Prioritization with Context-Aware Sequential Ranking. 68:1-68:28 - Hao Peng, Ruitong Zhang, Yingtong Dou, Renyu Yang, Jingyi Zhang, Philip S. Yu:
Reinforced Neighborhood Selection Guided Multi-Relational Graph Neural Networks. 69:1-69:46 - Chao Wang, Hengshu Zhu, Peng Wang, Chen Zhu, Xi Zhang, Enhong Chen, Hui Xiong:
Personalized and Explainable Employee Training Course Recommendations: A Bayesian Variational Approach. 70:1-70:32 - Jinze Wang, Yongli Ren, Jie Li, Ke Deng:
The Footprint of Factorization Models and Their Applications in Collaborative Filtering. 71:1-71:32 - Zhiqiang Pan, Fei Cai, Wanyu Chen, Chonghao Chen, Honghui Chen:
Collaborative Graph Learning for Session-based Recommendation. 72:1-72:26 - Hongwei Wang, Jure Leskovec:
Combining Graph Convolutional Neural Networks and Label Propagation. 73:1-73:27 - Zhongwei Xie, Ling Liu, Yanzhao Wu, Luo Zhong, Lin Li:
Learning Text-image Joint Embedding for Efficient Cross-modal Retrieval with Deep Feature Engineering. 74:1-74:27 - Zhiyong Cheng, Fan Liu, Shenghan Mei, Yangyang Guo, Lei Zhu, Liqiang Nie:
Feature-Level Attentive ICF for Recommendation. 75:1-75:24 - Tetsuya Sakai, Sijie Tao, Zhaohao Zeng:
Relevance Assessments for Web Search Evaluation: Should We Randomise or Prioritise the Pooled Documents? 76:1-76:35 - Kelsey Urgo, Jaime Arguello:
Understanding the "Pathway" Towards a Searcher's Learning Objective. 77:1-77:42 - Weiren Yu, Julie A. McCann, Chengyuan Zhang, Hakan Ferhatosmanoglu:
Scaling High-Quality Pairwise Link-Based Similarity Retrieval on Billion-Edge Graphs. 78:1-78:45 - Peng Zhang, Baoxi Liu, Tun Lu, Xianghua Ding, Hansu Gu, Ning Gu:
Jointly Predicting Future Content in Multiple Social Media Sites Based on Multi-task Learning. 79:1-79:28 - Zhiwen Tang, Grace Hui Yang:
A Re-classification of Information Seeking Tasks and Their Computational Solutions. 80:1-80:32 - Alexander Frummet, David Elsweiler, Bernd Ludwig:
"What Can I Cook with these Ingredients?" - Understanding Cooking-Related Information Needs in Conversational Search. 81:1-81:32 - Yongqi Li, Wenjie Li, Liqiang Nie:
Dynamic Graph Reasoning for Conversational Open-Domain Question Answering. 82:1-82:24 - Rui Li, Cheng Yang, Tingwei Li, Sen Su:
MiDTD: A Simple and Effective Distillation Framework for Distantly Supervised Relation Extraction. 83:1-83:32 - Peng Zhang, Wenjie Hui, Benyou Wang, Donghao Zhao, Dawei Song, Christina Lioma, Jakob Grue Simonsen:
Complex-valued Neural Network-based Quantum Language Models. 84:1-84:31 - Zhenduo Wang, Qingyao Ai:
Simulating and Modeling the Risk of Conversational Search. 85:1-85:33 - Yutao Zhu, Ruihua Song, Jian-Yun Nie, Pan Du, Zhicheng Dou, Jin Zhou:
Leveraging Narrative to Generate Movie Script. 86:1-86:32 - Yang Deng, Yaliang Li, Wenxuan Zhang, Bolin Ding, Wai Lam:
Toward Personalized Answer Generation in E-Commerce via Multi-perspective Preference Modeling. 87:1-87:28 - Hossein A. Rahmani, Mohammad Aliannejadi, Mitra Baratchi, Fabio Crestani:
A Systematic Analysis on the Impact of Contextual Information on Point-of-Interest Recommendation. 88:1-88:35
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