default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCID25th CIKM 2016: Indianapolis, IN, USA
- Snehasis Mukhopadhyay, ChengXiang Zhai, Elisa Bertino, Fabio Crestani, Javed Mostafa, Jie Tang, Luo Si, Xiaofang Zhou, Yi Chang, Yunyao Li, Parikshit Sondhi:
Proceedings of the 25th ACM International Conference on Information and Knowledge Management, CIKM 2016, Indianapolis, IN, USA, October 24-28, 2016. ACM 2016, ISBN 978-1-4503-4073-1
Keynote Address 1
- Rakesh Agrawal:
Toward Data-Driven Education: CIKM-2016 Keynote. 3
Session 1a: Recommendation
- Xin Wang, Wei Lu, Martin Ester, Can Wang, Chun Chen:
Social Recommendation with Strong and Weak Ties. 5-14 - Min Xie, Hongzhi Yin
, Hao Wang, Fanjiang Xu, Weitong Chen, Sen Wang:
Learning Graph-based POI Embedding for Location-based Recommendation. 15-24 - Xiaoting Wang, Christopher Leckie, Jeffrey Chan, Kwan Hui Lim, Tharshan Vaithianathan:
Improving Personalized Trip Recommendation by Avoiding Crowds. 25-34 - Ignacio Fernández-Tobías, Roi Blanco:
Memory-based Recommendations of Entities for Web Search Users. 35-44
Session 1b: Deep Learning Applications
- Gjergji Kasneci, Thomas Gottron:
LICON: A Linear Weighting Scheme for the Contribution ofInput Variables in Deep Artificial Neural Networks. 45-54 - Jiafeng Guo, Yixing Fan, Qingyao Ai, W. Bruce Croft:
A Deep Relevance Matching Model for Ad-hoc Retrieval. 55-64 - Jiwei Tan, Xiaojun Wan, Jianguo Xiao:
A Neural Network Approach to Quote Recommendation in Writings. 65-74 - Qi Zhang, Yeyun Gong, Jindou Wu, Haoran Huang, Xuanjing Huang:
Retweet Prediction with Attention-based Deep Neural Network. 75-84
Session 1c: Document Classification and Labeling
- Chenliang Li, Jian Xing, Aixin Sun, Zongyang Ma:
Effective Document Labeling with Very Few Seed Words: A Topic Model Approach. 85-94 - Ruochen Xu, Yiming Yang, Hanxiao Liu, Andrew Hsi:
Cross-lingual Text Classification via Model Translation with Limited Dictionaries. 95-104 - Hossein Soleimani, David J. Miller:
Semi-supervised Multi-Label Topic Models for Document Classification and Sentence Labeling. 105-114 - Suhang Wang, Jiliang Tang, Charu C. Aggarwal, Huan Liu:
Linked Document Embedding for Classification. 115-124
Session 1d: Better Queries
- Yuli Liu, Yiqun Liu, Ke Zhou, Min Zhang, Shaoping Ma, Yue Yin, Hengliang Luo:
Detecting Promotion Campaigns in Query Auto Completion. 125-134 - Tuan-Anh Hoang-Vu, Huy T. Vo, Juliana Freire:
A Unified Index for Spatio-Temporal Keyword Queries. 135-144 - Jiaxin Jiang, Peipei Yi, Byron Choi, Zhiwei Zhang, Xiaohui Yu:
Privacy-Preserving Reachability Query Services for Massive Networks. 145-154 - Saeid Balaneshinkordan, Alexander Kotov:
Sequential Query Expansion using Concept Graph. 155-164
Session 1e: Better Search
- Christophe Van Gysel, Maarten de Rijke, Evangelos Kanoulas:
Learning Latent Vector Spaces for Product Search. 165-174 - Aleksandr Chuklin, Maarten de Rijke:
Incorporating Clicks, Attention and Satisfaction into a Search Engine Result Page Evaluation Model. 175-184 - Luca Maria Aiello, Ioannis Arapakis, Ricardo Baeza-Yates, Xiao Bai, Nicola Barbieri, Amin Mantrach, Fabrizio Silvestri:
The Role of Relevance in Sponsored Search. 185-194 - Qin Liu, Zhenguo Li, John C. S. Lui, Jiefeng Cheng:
PowerWalk: Scalable Personalized PageRank via Random Walks with Vertex-Centric Decomposition. 195-204
Session 1f: Industry Session I
- Shivakumar Vaithyanathan:
Building Industry-specific Knowledge Bases. 205-206 - Xiaomo Liu, Quanzhi Li, Armineh Nourbakhsh, Rui Fang, Merine Thomas, Kajsa Anderson, Russ Kociuba, Mark Vedder, Steven Pomerville, Ramdev Wudali, Robert Martin, John Duprey, Arun Vachher, William Keenan, Sameena Shah:
Reuters Tracer: A Large Scale System of Detecting & Verifying Real-Time News Events from Twitter. 207-216 - Noa Avigdor-Elgrabli, Mark Cwalinski, Dotan Di Castro, Iftah Gamzu, Irena Grabovitch-Zuyev, Liane Lewin-Eytan, Yoelle Maarek:
Structural Clustering of Machine-Generated Mail. 217-226
Session 2a: Learning to Rank
- Fajie Yuan, Guibing Guo, Joemon M. Jose, Long Chen, Haitao Yu, Weinan Zhang:
LambdaFM: Learning Optimal Ranking with Factorization Machines Using Lambda Surrogates. 227-236 - Maksim Tkachenko, Hady Wirawan Lauw:
Plackett-Luce Regression Mixture Model for Heterogeneous Rankings. 237-246 - Rodrigo M. Silva, Guilherme de Castro Mendes Gomes, Mário S. Alvim, Marcos André Gonçalves:
Compression-Based Selective Sampling for Learning to Rank. 247-256 - Daniel Xavier de Sousa, Sérgio Daniel Canuto, Thierson Couto Rosa, Wellington Santos Martins, Marcos André Gonçalves:
Incorporating Risk-Sensitiveness into Feature Selection for Learning to Rank. 257-266
Session 2b: Question Answering
- Laure Soulier, Lynda Tamine, Gia-Hung Nguyen:
Answering Twitter Questions: a Model for Recommending Answerers through Social Collaboration. 267-276 - Pengwei Wang, Lei Ji, Jun Yan, Lianwen Jin, Wei-Ying Ma:
Learning to Extract Conditional Knowledge for Question Answering using Dialogue. 277-286 - Liu Yang, Qingyao Ai, Jiafeng Guo, W. Bruce Croft:
aNMM: Ranking Short Answer Texts with Attention-Based Neural Matching Model. 287-296 - Travis R. Goodwin, Sanda M. Harabagiu:
Medical Question Answering for Clinical Decision Support. 297-306
Session 2c: Wikipedia
- Chengyu Wang, Rong Zhang, Xiaofeng He, Aoying Zhou:
Error Link Detection and Correction in Wikipedia. 307-316 - Shuting Wang, Alexander Ororbia, Zhaohui Wu, Kyle Williams, Chen Liang, Bart Pursel, C. Lee Giles:
Using Prerequisites to Extract Concept Maps fromTextbooks. 317-326 - Stefan Heindorf, Martin Potthast, Benno Stein, Gregor Engels:
Vandalism Detection in Wikidata. 327-336 - Besnik Fetahu, Katja Markert, Wolfgang Nejdl, Avishek Anand:
Finding News Citations for Wikipedia. 337-346
Session 2d: Clustering
- Kais Allab, Lazhar Labiod, Mohamed Nadif:
SemiNMF-PCA framework for Sparse Data Co-clustering. 347-356 - Zhiqiang Xu, Yiping Ke:
Effective and Efficient Spectral Clustering on Text and Link Data. 357-366 - Zhiqiang Tao, Hongfu Liu, Sheng Li, Yun Fu:
Robust Spectral Ensemble Clustering. 367-376 - Xin Jin, Daniel Agun, Tao Yang, Qinghao Wu, Yifan Shen, Susen Zhao:
Hybrid Indexing for Versioned Document Search with Cluster-based Retrieval. 377-386
Session 2e: Understanding Text
- Zhaochun Ren, Oana Inel, Lora Aroyo, Maarten de Rijke:
Time-aware Multi-Viewpoint Summarization of Multilingual Social Text Streams. 387-396 - Hao Zhuang, Rameez Rahman, Xia Hu, Tian Guo, Pan Hui, Karl Aberer:
Data Summarization with Social Contexts. 397-406 - Tianyi Lin, Siyuan Zhang, Hong Cheng:
Understanding Sparse Topical Structure of Short Text via Stochastic Variational-Gibbs Inference. 407-416 - Kaiqi Zhao, Gao Cong, Aixin Sun:
Annotating Points of Interest with Geo-tagged Tweets. 417-426
Session 2f: Industry Session II
- Haifeng Wang:
Duer: Intelligent Personal Assistant. 427 - Pavel A. Dmitriev, Xian Wu:
Measuring Metrics. 429-437 - Fangzhou Zhu, Chen Luo, Mingxuan Yuan, Yijian Zhu, Zhengqing Zhang, Tao Gu, Ke Deng, Weixiong Rao, Jia Zeng:
City-Scale Localization with Telco Big Data. 439-448
Session 3a: Graph Analytics
- Jia Li, Yang Cao, Xudong Liu:
Approximating Graph Pattern Queries Using Views. 449-458 - Cheng Chen, Sean Chester, Venkatesh Srinivasan, Kui Wu, Alex Thomo:
Group-Aware Weighted Bipartite B-Matching. 459-468 - Salvador Aguiñaga, Rodrigo Palácios, David Chiang, Tim Weninger:
Growing Graphs from Hyperedge Replacement Graph Grammars. 469-478 - Yuqiong Liu, Chang Zhou, Jun Gao, Zhiguo Fan:
GiraphAsync: Supporting Online and Offline Graph Processing via Adaptive Asynchronous Message Processing. 479-488
Session 3b: Event Detection and Analytics
- Yu Liu, Baojian Zhou, Feng Chen, David W. Cheung:
Graph Topic Scan Statistic for Spatial Event Detection. 489-498 - Jinjin Guo, Zhiguo Gong:
A Nonparametric Model for Event Discovery in the Geospatial-Temporal Space. 499-508 - Wei Wang, Yue Ning, Huzefa Rangwala, Naren Ramakrishnan:
A Multiple Instance Learning Framework for Identifying Key Sentences and Detecting Events. 509-518 - Xidao Wen, Yu-Ru Lin, Konstantinos Pelechrinis:
PairFac: Event Analytics through Discriminant Tensor Factorization. 519-528
Session 3c: Crowdsourcing
- Piyush Bansal, Carsten Eickhoff, Thomas Hofmann:
Active Content-Based Crowdsourcing Task Selection. 529-538 - Chenxi Qiu, Anna Cinzia Squicciarini, Barbara Carminati, James Caverlee, Dev Rishi Khare:
CrowdSelect: Increasing Accuracy of Crowdsourcing Tasks through Behavior Prediction and User Selection. 539-548 - Asif R. Khan, Hector Garcia-Molina:
Attribute-based Crowd Entity Resolution. 549-558 - Miao Li, Lisi Chen, Gao Cong, Yu Gu, Ge Yu:
Efficient Processing of Location-Aware Group Preference Queries. 559-568
Session 3d: Mobile
- Tianran Hu, Ruihua Song, Yingzi Wang, Xing Xie, Jiebo Luo:
Mining Shopping Patterns for Divergent Urban Regions by Incorporating Mobility Data. 569-578 - Qi Guo, Yang Song:
Large-Scale Analysis of Viewing Behavior: Towards Measuring Satisfaction with Mobile Proactive Systems. 579-588 - Fei Wu, Zhenhui Li:
Where Did You Go: Personalized Annotation of Mobility Records. 589-598 - Dmitry Lagun, Donal McMahon, Vidhya Navalpakkam:
Understanding Mobile Searcher Attention with Rich Ad Formats. 599-608
Session 3e: Social Networks---Links and Trust
- Sumit Negi, Santanu Chaudhury:
Link Prediction in Heterogeneous Social Networks. 609-617 - Fusang Zhang, Beihong Jin, Tingjian Ge, Qiang Ji, Yanling Cui:
Who are My Familiar Strangers?: Revealing Hidden Friend Relations and Common Interests from Smart Card Data. 619-628 - Min-Hee Jang, Christos Faloutsos, Sang-Wook Kim, U Kang, Jiwoon Ha:
PIN-TRUST: Fast Trust Propagation Exploiting Positive, Implicit, and Negative Information. 629-638 - Daichi Imamori, Keishi Tajima:
Predicting Popularity of Twitter Accounts through the Discovery of Link-Propagating Early Adopters. 639-648
Session 3f: Industry Session III
- Rui Yan, Yiping Song, Xiangyang Zhou, Hua Wu:
"Shall I Be Your Chat Companion?": Towards an Online Human-Computer Conversation System. 649-658 - Yale Song, Miriam Redi, Jordi Vallmitjana, Alejandro Jaimes:
To Click or Not To Click: Automatic Selection of Beautiful Thumbnails from Videos. 659-668 - Haolan Chen, Di Niu, Kunfeng Lai, Yu Xu, Masoud Ardakani:
Separating-Plane Factorization Models: Scalable Recommendation from One-Class Implicit Feedback. 669-678 - Kan Ren, Weinan Zhang, Yifei Rong, Haifeng Zhang, Yong Yu, Jun Wang:
User Response Learning for Directly Optimizing Campaign Performance in Display Advertising. 679-688
Keynote Address 2
- Susan T. Dumais:
Personalized Search: Potential and Pitfalls. 689
Session 4a: Information Retrieval
- Guido Zuccon, João R. M. Palotti, Allan Hanbury:
Query Variations and their Effect on Comparing Information Retrieval Systems. 691-700 - Jiafeng Guo, Yixing Fan, Qingyao Ai, W. Bruce Croft:
Semantic Matching by Non-Linear Word Transportation for Information Retrieval. 701-710 - Navid Rekabsaz, Mihai Lupu, Allan Hanbury, Guido Zuccon:
Generalizing Translation Models in the Probabilistic Relevance Framework. 711-720 - Matthias Hagen, Michael Völske, Steve Göring, Benno Stein:
Axiomatic Result Re-Ranking. 721-730
Session 4b: User Behavior and Interfaces
- David Maxwell, Leif Azzopardi:
Agents, Simulated Users and Humans: An Analysis of Performance and Behaviour. 731-740 - Xinyang Zhang, Dashun Wang, Ting Wang:
Inspiration or Preparation?: Explaining Creativity in Scientific Enterprise. 741-750 - Jaewon Kim, Paul Thomas, Ramesh S. Sankaranarayana, Tom Gedeon, Hwan-Jin Yoon:
Pagination versus Scrolling in Mobile Web Search. 751-760 - Daniel Preotiuc-Pietro, Jordan Carpenter, Salvatore Giorgi, Lyle H. Ungar:
Studying the Dark Triad of Personality through Twitter Behavior. 761-770
Session 4c: Documents
- Ridho Reinanda, Edgar Meij, Maarten de Rijke:
Document Filtering for Long-tail Entities. 771-780 - Arunav Mishra, Klaus Berberich:
Estimating Time Models for News Article Excerpts. 781-790 - Ramakrishna B. Bairi, Raghavendra Udupa, Ganesh Ramakrishnan:
A Framework for Task-specific Short Document Expansion. 791-800 - Ramakrishna B. Bairi, Mark James Carman, Ganesh Ramakrishnan:
Beyond Clustering: Sub-DAG Discovery for Categorising Documents. 801-810
Session 4d: Knowledge Mining and Management
- Xiang Li, Ben Kao, Yudian Zheng, Zhipeng Huang:
On Transductive Classification in Heterogeneous Information Networks. 811-820 - Ning Yang, Philip S. Yu:
Efficient Hidden Trajectory Reconstruction from Sparse Data. 821-830 - Jyoti Leeka, Srikanta Bedathur, Debajyoti Bera, Medha Atre:
Quark-X: An Efficient Top-K Processing Framework for RDF Quad Stores. 831-840 - Bahareh Sadat Arab, Dieter Gawlick, Vasudha Krishnaswamy, Venkatesh Radhakrishnan, Boris Glavic:
Reenactment for Read-Committed Snapshot Isolation. 841-850
Session 4e: Truth Discovery
- Hengtong Zhang, Qi Li, Fenglong Ma, Houping Xiao, Yaliang Li, Jing Gao, Lu Su:
Influence-Aware Truth Discovery. 851-860 - Xianzhi Wang, Quan Z. Sheng, Lina Yao, Xue Li, Xiu Susie Fang, Xiaofei Xu, Boualem Benatallah:
Truth Discovery via Exploiting Implications from Multi-Source Data. 861-870 - Tarique Siddiqui, Xiang Ren, Aditya G. Parameswaran, Jiawei Han:
FacetGist: Collective Extraction of Document Facets in Large Technical Corpora. 871-880 - Xianzhi Wang, Quan Z. Sheng, Lina Yao, Xue Li, Xiu Susie Fang, Xiaofei Xu, Boualem Benatallah:
Empowering Truth Discovery with Multi-Truth Prediction. 881-890
Session 4f: Industry Session IV
- Marc Najork:
Using Machine Learning to Improve the Email Experience. 891 - Dhruv Mahajan, Vishwajit Kolathur, Chetan Bansal, Suresh Parthasarathy, Sundararajan Sellamanickam, S. Sathiya Keerthi, Johannes Gehrke:
Hashtag Recommendation for Enterprise Applications. 893-902 - Sattar Ameri, Mahtab Jahanbani Fard, Ratna Babu Chinnam, Chandan K. Reddy:
Survival Analysis based Framework for Early Prediction of Student Dropouts. 903-912
Session 5a: Sentiment and Opinion Mining
- Shubhra Kanti Karmaker Santu, Parikshit Sondhi, ChengXiang Zhai:
Generative Feature Language Models for Mining Implicit Features from Customer Reviews. 929-938 - Hongkun Yu, Jingbo Shang, Meichun Hsu, Malú Castellanos, Jiawei Han:
Data-Driven Contextual Valence Shifter Quantification for Multi-Theme Sentiment Analysis. 939-948 - Fangzhao Wu, Sixing Wu, Yongfeng Huang, Songfang Huang, Yong Qin:
Sentiment Domain Adaptation with Multi-Level Contextual Sentiment Knowledge. 949-958 - Dae Hoon Park, Yi Fang, Mengwen Liu, ChengXiang Zhai:
Mobile App Retrieval for Social Media Users via Inference of Implicit Intent in Social Media Text. 959-968
Session 5b: Time Series
- Zhifei Zhang, Yang Song, Wei Wang, Hairong Qi:
Derivative Delay Embedding: Online Modeling of Streaming Time Series. 969-978 - Xiangdong Huang, Jianmin Wang, Raymond K. Wong, Jinrui Zhang, Chen Wang:
PISA: An Index for Aggregating Big Time Series Data. 979-988 - Sheng Li, Yaliang Li, Yun Fu:
Multi-View Time Series Classification: A Discriminative Bilinear Projection Approach. 989-998 - Hoang Anh Dau, Nurjahan Begum, Eamonn J. Keogh:
Semi-Supervision Dramatically Improves Time Series Clustering under Dynamic Time Warping. 999-1008
Session 5c: Learning for Classification and Prediction
- Zhichen Gong, Huanhuan Chen:
Model-Based Oversampling for Imbalanced Sequence Classification. 1009-1018 - Ping Wang, Karthik K. Padthe, Bhanukiran Vinzamuri, Chandan K. Reddy:
CRISP: Consensus Regularized Selection based Prediction. 1019-1028 - Vincent Wenchen Zheng, Kevin Chen-Chuan Chang:
Regularizing Structured Classifier with Conditional Probabilistic Constraints for Semi-supervised Learning. 1029-1038 - Gordon V. Cormack, Maura R. Grossman:
Scalability of Continuous Active Learning for Reliable High-Recall Text Classification. 1039-1048
Session 5d: Social Media
- Henry S. Vieira, Altigran S. da Silva, Pável Calado, Marco Cristo, Edleno Silva de Moura:
Towards the Effective Linking of Social Media Contents to Products in E-Commerce Catalogs. 1049-1058 - Tuan-Anh Hoang, Ee-Peng Lim:
Tracking Virality and Susceptibility in Social Media. 1059-1068 - Swapnil Mishra, Marian-Andrei Rizoiu, Lexing Xie:
Feature Driven and Point Process Approaches for Popularity Prediction. 1069-1078 - Feifan Fan, Yansong Feng, Lili Yao, Dongyan Zhao:
Adaptive Evolutionary Filtering in Real-Time Twitter Stream. 1079-1088
Session 5e: Queries and Search
- Cheng Li, Paul Resnick, Qiaozhu Mei:
Multiple Queries as Bandit Arms. 1089-1098 - Leonid Boytsov, David Novak, Yury A. Malkov, Eric Nyberg:
Off the Beaten Path: Let's Replace Term-Based Retrieval with k-NN Search. 1099-1108 - Ninh Pham, Rasmus Pagh:
Scalability and Total Recall with Fast CoveringLSH. 1109-1118 - Zhuyun Dai, Chenyan Xiong, Jamie Callan:
Query-Biased Partitioning for Selective Search. 1119-1128
Session 5f: Industry Session V
- Saurav Ghosh, Prithwish Chakraborty, Emily Cohn, John S. Brownstein, Naren Ramakrishnan:
Characterizing Diseases from Unstructured Text: A Vocabulary Driven Word2vec Approach. 1129-1138 - Erik Ordentlich, Lee Yang, Andy Feng, Peter Cnudde, Mihajlo Grbovic, Nemanja Djuric, Vladan Radosavljevic, Gavin Owens:
Network-Efficient Distributed Word2vec Training System for Large Vocabularies. 1139-1148
Keynote Address 3
- Andrei Z. Broder:
A Personal Perspective and Retrospective on Web Search Technology. 1149
Session 6a: Learning Algorithms
- Yiu-ming Cheung, Jian Lou:
Scalable Spectral k-Support Norm Regularization for Robust Low Rank Subspace Learning. 1151-1160 - Chenghao Liu, Steven C. H. Hoi, Peilin Zhao, Jianling Sun, Ee-Peng Lim:
Online Adaptive Passive-Aggressive Methods for Non-Negative Matrix Factorization and Its Applications. 1161-1170 - Xiaoli Li, Jun Huan:
aptMTVL: Nailing Interactions in Multi-Task Multi-View Multi-Label Learning using Adaptive-basis Multilinear Factor Analyzers. 1171-1180 - Swarup Chandra, Ahsanul Haque, Latifur Khan, Charu C. Aggarwal:
An Adaptive Framework for Multistream Classification. 1181-1190
Session 6b: Databases and Data Processing
- Simon Razniewski:
Optimizing Update Frequencies for Decaying Information. 1191-1200 - Paris Carbone, Jonas Traub, Asterios Katsifodimos, Seif Haridi, Volker Markl:
Cutty: Aggregate Sharing for User-Defined Windows. 1201-1210 - Sebastian Link, Henri Prade:
Relational Database Schema Design for Uncertain Data. 1211-1220 - Shengyu Huang, K. Selçuk Candan, Maria Luisa Sapino:
BICP: Block-Incremental CP Decomposition with Update Sensitive Refinement. 1221-1230
Session 6c: Large Graph Processing
- Bortik Bandyopadhyay, David Fuhry, Aniket Chakrabarti, Srinivasan Parthasarathy:
Topological Graph Sketching for Incremental and Scalable Analytics. 1231-1240 - Jiafeng Hu, Xiaowei Wu, Reynold Cheng, Siqiang Luo, Yixiang Fang:
Querying Minimal Steiner Maximum-Connected Subgraphs in Large Graphs. 1241-1250 - Roohollah Etemadi, Jianguo Lu, Yung H. Tsin:
Efficient Estimation of Triangles in Very Large Graphs. 1251-1260 - Lu Chen, Chengfei Liu, Xiaochun Yang, Bin Wang, Jianxin Li, Rui Zhou:
Efficient Batch Processing for Multiple Keyword Queries on Graph Data. 1261-1270
Session 6d: Information Retrieval II
- Ting-Kun Yan, Xin-Shun Xu, Shanqing Guo, Zi Huang, Xiaolin Wang:
Supervised Robust Discrete Multimodal Hashing for Cross-Media Retrieval. 1271-1280 - Dwaipayan Roy, Debasis Ganguly, Mandar Mitra, Gareth J. F. Jones:
Word Vector Compositionality based Relevance Feedback using Kernel Density Estimation. 1281-1290 - Md. Saiful Islam, Chengfei Liu, J. Wenny Rahayu, Tarique Anwar:
Q+Tree: An Efficient Quad Tree based Data Indexing for Parallelizing Dynamic and Reverse Skylines. 1291-1300 - Mostafa Dehghani, Hosein Azarbonyad, Jaap Kamps, Djoerd Hiemstra, Maarten Marx:
Luhn Revisited: Significant Words Language Models. 1301-1310
Session 6e: Entity Detection and Analysis
- Stephan Seufert, Klaus Berberich, Srikanta J. Bedathur, Sarath Kumar Kondreddi, Patrick Ernst, Gerhard Weikum:
ESPRESSO: Explaining Relationships between Entity Sets. 1311-1320 - Jiangwei Yu Rafiei, Davood Rafiei:
Geotagging Named Entities in News and Online Documents. 1321-1330 - Jaspreet Singh, Johannes Hoffart, Avishek Anand:
Discovering Entities with Just a Little Help from You. 1331-1340 - Baichuan Zhang, Murat Dundar, Mohammad Al Hasan:
Bayesian Non-Exhaustive Classification A Case Study: Online Name Disambiguation using Temporal Record Streams. 1341-1350
Session 6f: Industry Session VI
- Rong Jin:
Large-scale Robust Online Matching and Its Application in E-commerce. 1351 - Qirong Ho, Wenqing Lin, Eran Shaham, Shonali Krishnaswamy, The Anh Dang, Jingxuan Wang, Isabel Choo Zhongyan, Amy She-Nash:
A Distributed Graph Algorithm for Discovering Unique Behavioral Groups from Large-Scale Telco Data. 1353-1362 - Zimu Zheng, Dan Wang, Jian Pei, Yi Yuan, Cheng Fan, Linda Fu Xiao:
Urban Traffic Prediction through the Second Use of Inexpensive Big Data from Buildings. 1363-1372
Session 7a: Advertising and Ranking
- Wendi Ji, Xiaoling Wang, Dell Zhang:
A Probabilistic Multi-Touch Attribution Model for Online Advertising. 1373-1382 - Shaojie Tang, Jing Yuan:
Optimizing Ad Allocation in Social Advertising. 1383-1392 - Dimitrios Rafailidis, Fabio Crestani:
Joint Collaborative Ranking with Social Relationships in Top-N Recommendation. 1393-1402 - Jelena Stojanovic, Djordje Gligorijevic, Zoran Obradovic:
Modeling Customer Engagement from Partial Observations. 1403-1412
Session 7b: Query Analytics
- Pengfei Li, Mark Sanderson, Mark James Carman, Falk Scholer:
On the Effectiveness of Query Weighting for Adapting Rank Learners to New Unlabelled Collections. 1413-1422 - Elad Kravi, Ido Guy, Avihai Mejer, David Carmel, Yoelle Maarek, Dan Pelleg, Gilad Tsur:
One Query, Many Clicks: Analysis of Queries with Multiple Clicks by the Same User. 1423-1432 - Weize Kong, James Allan:
Precision-Oriented Query Facet Extraction. 1433-1442 - Yunlong He, Jiliang Tang, Hua Ouyang, Changsung Kang, Dawei Yin, Yi Chang:
Learning to Rewrite Queries. 1443-1452
Session 7c: Information Retrieval III
- Linda Andersson, Mihai Lupu, João R. M. Palotti, Allan Hanbury, Andreas Rauber:
When is the Time Ripe for Natural Language Processing for Patent Passage Retrieval? 1453-1462 - Yael Anava, Anna Shtok, Oren Kurland, Ella Rabinovich:
A Probabilistic Fusion Framework. 1463-1472 - Or Levi, Fiana Raiber, Oren Kurland, Ido Guy:
Selective Cluster-Based Document Retrieval. 1473-1482 - Hamed Zamani, Javid Dadashkarimi, Azadeh Shakery, W. Bruce Croft:
Pseudo-Relevance Feedback Based on Matrix Factorization. 1483-1492
Session 7d: Data Mining
- Hancheng Ge, James Caverlee, Nan Zhang, Anna Cinzia Squicciarini:
Uncovering the Spatio-Temporal Dynamics of Memes in the Presence of Incomplete Information. 1493-1502 - Cheng Chen, Fang Dong, Kui Wu, Venkatesh Srinivasan, Alex Thomo:
From Recommendation to Profile Inference (Rec2PI): A Value-added Service to Wi-Fi Data Mining. 1503-1512 - Xiaoyi Fan, Feng Wang, Jiangchuan Liu:
On Backup Battery Data in Base Stations of Mobile Networks: Measurement, Analysis, and Optimization. 1513-1522 - Hengfeng Li, Lars Kulik, Kotagiri Ramamohanarao:
Automatic Generation and Validation of Road Maps from GPS Trajectory Data Sets. 1523-1532
Session 7e: Network Analytics
- Takanori Hayashi, Takuya Akiba, Ken-ichi Kawarabayashi:
Fully Dynamic Shortest-Path Distance Query Acceleration on Massive Networks. 1533-1542 - Takuya Akiba, Yosuke Yano, Naoto Mizuno:
Hierarchical and Dynamic k-Path Covers. 1543-1552 - Shu Chen, Ran Wei, Diana Popova, Alex Thomo:
Efficient Computation of Importance Based Communities in Web-Scale Networks Using a Single Machine. 1553-1562 - Daokun Zhang, Jie Yin, Xingquan Zhu, Chengqi Zhang:
Collective Classification via Discriminative Matrix Factorization on Sparsely Labeled Networks. 1563-1572
Session 7f: Industry Session VII
- Hossein Hamooni, Biplob Debnath, Jianwu Xu, Hui Zhang, Guofei Jiang, Abdullah Mueen:
LogMine: Fast Pattern Recognition for Log Analytics. 1573-1582 - Erheng Zhong, Yue Shi, Nathan Liu, Suju Rajan:
Scaling Factorization Machines with Parameter Server. 1583-1592 - Tao Li, Wubai Zhou, Chunqiu Zeng, Qing Wang, Qifeng Zhou, Dingding Wang, Jia Xu, Yue Huang, Wentao Wang, Minjing Zhang, Steven Luis, Shu-Ching Chen, Naphtali Rishe:
DI-DAP: An Efficient Disaster Information Delivery and Analysis Platform in Disaster Management. 1593-1602 - Hong Su, Mohamed Zaït, Vladimir Barrière, Joseph Torres, Andre Cavalheiro Menck:
Approximate Aggregates in Oracle 12C. 1603-1612
Session 8a: Learning
- Jun Wang, Jinmao Wei, Zhenglu Yang:
Supervised Feature Selection by Preserving Class Correlation. 1613-1622 - Xi Zhang, Di Ma, Lin Gan, Shanshan Jiang, Gady Agam:
CGMOS: Certainty Guided Minority OverSampling. 1623-1631 - Huazheng Wang, Qingyun Wu, Hongning Wang:
Learning Hidden Features for Contextual Bandits. 1633-1642 - Tong Zhao, Irwin King:
Constructing Reliable Gradient Exploration for Online Learning to Rank. 1643-1652
Session 8b: Social Networks---Diffusion and Cascades
- Yu Rong, Qiankun Zhu, Hong Cheng:
A Model-Free Approach to Infer the Diffusion Network from Event Cascade. 1653-1662 - Hung T. Nguyen, Preetam Ghosh, Michael L. Mayo, Thang N. Dinh:
Multiple Infection Sources Identification with Provable Guarantees. 1663-1672 - Jiawei Zhang, Philip S. Yu, Yuanhua Lv, Qianyi Zhan:
Information Diffusion at Workplace. 1673-1682 - Chonggang Song, Wynne Hsu, Mong-Li Lee:
Targeted Influence Maximization in Social Networks. 1683-1692
Session 8c: Applications
- Norases Vesdapunt, Hector Garcia-Molina:
Updating an Existing Social Graph Snapshot via a Limited API. 1693-1702 - Yusra Ibrahim, Mirek Riedewald, Gerhard Weikum:
Making Sense of Entities and Quantities in Web Tables. 1703-1712 - Han-Ching Ou, Chung-Kuang Chou, Ming-Syan Chen:
Influence Maximization for Complementary Goods: Why Parties Fail to Cooperate? 1713-1722 - Raíza Hanada, Maria da Graça Campos Pimentel, Marco Cristo, Fernando Anglada Lores:
Effective Spelling Correction for Eye-based Typing using domain-specific Information about Error Distribution. 1723-1732
Session 8d: Algorithms
- Nicolas Hanusse, Patrick Kamnang Wanko, Sofian Maabout:
Computing and Summarizing the Negative Skycube. 1733-1742 - Wei Emma Zhang, Mingkui Tan, Quan Z. Sheng, Lina Yao, Qinfeng Shi:
Efficient Orthogonal Non-negative Matrix Factorization over Stiefel Manifold. 1743-1752 - Suhang Wang, Jiliang Tang, Fred Morstatter, Huan Liu:
Paired Restricted Boltzmann Machine for Linked Data. 1753-1762 - Jianwei Zhang, Jia Zeng, Mingxuan Yuan, Weixiong Rao, Jianfeng Yan:
LDA Revisited: Entropy, Prior and Convergence. 1763-1772
Session 8e: High Performance Big Data
- Junhua Fang, Rong Zhang, Xiaotong Wang, Tom Z. J. Fu, Zhenjie Zhang, Aoying Zhou:
Cost-Effective Stream Join Algorithm on Cloud System. 1773-1782 - Ryan A. Rossi, Rong Zhou:
Leveraging Multiple GPUs and CPUs for Graphlet Counting in Large Networks. 1783-1792 - Xuyun Zhang, Christopher Leckie, Wanchun Dou, Jinjun Chen, Kotagiri Ramamohanarao, Zoran Salcic:
Scalable Local-Recoding Anonymization using Locality Sensitive Hashing for Big Data Privacy Preservation. 1793-1802 - Tobias Bleifuß, Susanne Bülow, Johannes Frohnhofen, Julian Risch, Georg Wiese, Sebastian Kruse, Thorsten Papenbrock, Felix Naumann:
Approximate Discovery of Functional Dependencies for Large Datasets. 1803-1812
Session 8f: Industry Session VIII
- Prasad Cheema, Nguyen Lu Dang Khoa, Mehrisadat Makki Alamdari, Wei Liu, Yang Wang, Fang Chen, Peter Runcie:
On Structural Health Monitoring Using Tensor Analysis and Support Vector Machine with Artificial Negative Data. 1813-1822 - Xing Wang, Jessica Lin, Nital Patel, Martin W. Braun:
A Self-Learning and Online Algorithm for Time Series Anomaly Detection, with Application in CPU Manufacturing. 1823-1832 - Bin Tong, Martin Klinkigt, Makoto Iwayama, Yoshiyuki Kobayashi, Anshuman Sahu, Ravigopal Vennelakanti:
Deep Match between Geology Reports and Well Logs Using Spatial Information. 1833-1842 - Elham Shaabani, Hamidreza Alvari, Paulo Shakarian, J. E. Kelly Snyder:
MIST: Missing Person Intelligence Synthesis Toolkit. 1843-1867
Poster Session I: Short Papers
- Lingxun Meng, Yan Li, Mengyi Liu, Peng Shu:
Skipping Word: A Character-Sequential Representation based Framework for Question Answering. 1869-1872 - Arijit Khan:
Towards Time-Discounted Influence Maximization. 1873-1876 - Yuki Yano, Yukihiro Tagami, Akira Tajima:
Quantifying Query Ambiguity with Topic Distributions. 1877-1880 - Xuezhi Cao, Yong Yu:
ASNets: A Benchmark Dataset of Aligned Social Networks for Cross-Platform User Modeling. 1881-1884 - Yong-Yeon Jo, Jiwon Hong, Myung-Hwan Jang, Jae-Geun Bang, Sang-Wook Kim:
Data Locality in Graph Engines: Implications and Preliminary Experimental Results. 1885-1888 - Sihong Xie, Shaoxiong Wang, Philip S. Yu:
Active Zero-Shot Learning. 1889-1892 - Madian Khabsa, Aidan C. Crook, Ahmed Hassan Awadallah, Imed Zitouni, Tasos Anastasakos, Kyle Williams:
Learning to Account for Good Abandonment in Search Success Metrics. 1893-1896 - Peng Bao:
Modeling and Predicting Popularity Dynamics via an Influence-based Self-Excited Hawkes Process. 1897-1900 - Jifan Chen, Qi Zhang, Xuanjing Huang:
Incorporate Group Information to Enhance Network Embedding. 1901-1904 - Jiangfeng Zeng, Ke Zhou, Xiao Ma, Fuhao Zou, Hua Wang:
Exploiting Cluster-based Meta Paths for Link Prediction in Signed Networks. 1905-1908 - Adam Jatowt, Daisuke Kawai, Katsumi Tanaka:
Predicting Importance of Historical Persons using Wikipedia. 1909-1912 - Jinfeng Rao, Hua He, Jimmy Lin:
Noise-Contrastive Estimation for Answer Selection with Deep Neural Networks. 1913-1916 - Qinzhe Zhang, Jia Wu, Hong Yang, Weixue Lu, Guodong Long, Chengqi Zhang:
Global and Local Influence-based Social Recommendation. 1917-1920 - Zhenghua Xu, Cheng Chen, Thomas Lukasiewicz, Yishu Miao, Xiangwu Meng:
Tag-Aware Personalized Recommendation Using a Deep-Semantic Similarity Model with Negative Sampling. 1921-1924 - Javid Ebrahimi, Dejing Dou:
Personalized Semantic Word Vectors. 1925-1928 - Saar Kuzi, Anna Shtok, Oren Kurland:
Query Expansion Using Word Embeddings. 1929-1932 - Xin Wang, Junhu Wang, Xiaowang Zhang:
Efficient Distributed Regular Path Queries on RDF Graphs Using Partial Evaluation. 1933-1936 - Chong Wang, Achir Kalra, Cristian Borcea, Yi Chen:
Webpage Depth-level Dwell Time Prediction. 1937-1940 - Li Gao, Jia Wu, Zhi Qiao, Chuan Zhou, Hong Yang, Yue Hu:
Collaborative Social Group Influence for Event Recommendation. 1941-1944 - Ziwei Zheng, Xiaojun Wan:
Graph-Based Multi-Modality Learning for Clinical Decision Support. 1945-1948 - Zhi Liu, Yan Huang:
Where are You Tweeting?: A Context and User Movement Based Approach. 1949-1952 - Niels Dalum Hansen, Christina Lioma, Kåre Mølbak:
Ensemble Learned Vaccination Uptake Prediction using Web Search Queries. 1953-1956 - Yao Lu, Zhi Qiao, Chuan Zhou, Yue Hu, Li Guo:
Location-aware Friend Recommendation in Event-based Social Networks: A Bayesian Latent Factor Approach. 1957-1960 - Darshan M. Shankaralingappa, Gianmarco De Francisci Morales, Aristides Gionis:
Extracting Skill Endorsements from Personal Communication Data. 1961-1964 - Sameen Mansha, Faisal Kamiran, Asim Karim, Aizaz Anwar:
A Self-Organizing Map for Identifying InfluentialCommunities in Speech-based Networks. 1965-1968 - Chao Huang, Xian Wu, Dong Wang:
Crowdsourcing-based Urban Anomaly Prediction System for Smart Cities. 1969-1972 - Nghia Duong-Trung, Nicolas Schilling, Lars Schmidt-Thieme:
Near Real-time Geolocation Prediction in Twitter Streams via Matrix Factorization Based Regression. 1973-1976 - Lili Mou, Ran Jia, Yan Xu, Ge Li, Lu Zhang, Zhi Jin:
Distilling Word Embeddings: An Encoding Approach. 1977-1980 - Jarana Manotumruksa, Craig MacDonald, Iadh Ounis:
Regularising Factorised Models for Venue Recommendation using Friends and their Comments. 1981-1984 - Yashar Moshfeghi, Kristiyan Velinov, Peter Triantafillou:
Improving Search Results with Prior Similar Queries. 1985-1988 - Aldo Lipani, Mihai Lupu, Evangelos Kanoulas, Allan Hanbury:
The Solitude of Relevant Documents in the Pool. 1989-1992 - Wei Lu, Korris Fu-Lai Chung, Kunfeng Lai:
Scarce Feature Topic Mining for Video Recommendation. 1993-1996 - Giovanni Da San Martino, Alberto Barrón-Cedeño, Salvatore Romeo, Antonio Uva, Alessandro Moschitti:
Learning to Re-Rank Questions in Community Question Answering Using Advanced Features. 1997-2000 - Romain Deveaud, Josiane Mothe, Jian-Yun Nie:
Learning to Rank System Configurations. 2001-2004 - Casper Petersen, Jakob Grue Simonsen, Kalervo Järvelin, Christina Lioma:
Adaptive Distributional Extensions to DFR Ranking. 2005-2008 - Hagit Grushka-Cohen, Oded Sofer, Ofer Biller, Bracha Shapira, Lior Rokach:
CyberRank: Knowledge Elicitation for Risk Assessment of Database Security. 2009-2012 - Tomasz Kusmierczyk, Kjetil Nørvåg:
Online Food Recipe Title Semantics: Combining Nutrient Facts and Topics. 2013-2016 - Yuhao Zhang, Wenji Mao, Daniel Dajun Zeng:
A Non-Parametric Topic Model for Short Texts Incorporating Word Coherence Knowledge. 2017-2020 - Wenjie Ruan, Quan Z. Sheng, Peipei Xu, Nguyen Khoi Tran, Nickolas J. G. Falkner, Xue Li, Wei Emma Zhang:
Forecasting Seasonal Time Series Using Weighted Gradient RBF Network based Autoregressive Model. 2021-2024 - Wenjie Ruan, Peipei Xu, Quan Z. Sheng, Nguyen Khoi Tran, Nickolas J. G. Falkner, Xue Li, Wei Emma Zhang:
When Sensor Meets Tensor: Filling Missing Sensor Values Through a Tensor Approach. 2025-2028 - Abhishek Sikchi, Pawan Goyal, Samik Datta:
PEQ: An Explainable, Specification-based, Aspect-oriented Product Comparator for E-commerce. 2029-2032 - Jyun-Yu Jiang, Cheng-Te Li:
Forecasting Geo-sensor Data with Participatory Sensing Based on Dropout Neural Network. 2033-2036 - Manmeet Singh, W. Bruce Croft:
Iterative Search using Query Aspects. 2037-2040 - Aritra Ghosh, Dinesh Gaurav, Rahul Agrawal:
A Preference Approach to Reputation in Sponsored Search. 2041-2044 - Bing Zhang, Goce Trajcevski, Feiying Liu:
Clustering Speed in Multi-lane Traffic Networks. 2045-2048 - Kateryna Tymoshenko, Daniele Bonadiman, Alessandro Moschitti:
Learning to Rank Non-Factoid Answers: Comment Selection in Web Forums. 2049-2052 - Hamed R. Bonab, Fazli Can:
A Theoretical Framework on the Ideal Number of Classifiers for Online Ensembles in Data Streams. 2053-2056 - Guangyuan Piao, John G. Breslin:
User Modeling on Twitter with WordNet Synsets and DBpedia Concepts for Personalized Recommendations. 2057-2060 - John Foley, Brendan O'Connor, James Allan:
Improving Entity Ranking for Keyword Queries. 2061-2064 - Mostafa Dehghani, Samira Abnar, Jaap Kamps:
The Healing Power of Poison: Helpful Non-relevant Documents in Feedback. 2065-2068 - Myungha Jang, John Foley, Shiri Dori-Hacohen, James Allan:
Probabilistic Approaches to Controversy Detection. 2069-2072 - Rami Suleiman Alkhawaldeh, Joemon M. Jose, Deepak P:
Evaluating Document Retrieval Methods for Resource Selection in Clustered P2P IR. 2073-2076 - Martin Tutek, Goran Glavas, Jan Snajder, Natasa Milic-Frayling, Bojana Dalbelo Basic:
Detecting and Ranking Conceptual Links between Texts Using a Knowledge Base. 2077-2080 - Kelsey Suyehira, Francesca Spezzano:
DePP: A System for Detecting Pages to Protect in Wikipedia. 2081-2084 - Quanzhi Li, Sameena Shah, Armineh Nourbakhsh, Xiaomo Liu, Rui Fang:
Hashtag Recommendation Based on Topic Enhanced Embedding, Tweet Entity Data and Learning to Rank. 2085-2088
Poster Session II: Extended Short Papers
- Haejoon Lee, Minseo Kang, Sun-Bum Youn, Jae-Gil Lee, YongChul Kwon:
An Experimental Comparison of Iterative MapReduce Frameworks. 2089-2094 - Dingming Wu, Christian S. Jensen:
A Density-Based Approach to the Retrieval of Top-K Spatial Textual Clusters. 2095-2100 - Zhao Kang, Chong Peng, Ming Yang, Qiang Cheng:
Top-N Recommendation on Graphs. 2101-2106 - Zhipeng Huang, Bogdan Cautis, Reynold Cheng, Yudian Zheng:
KB-Enabled Query Recommendation for Long-Tail Queries. 2107-2112 - Chong Peng, Zhao Kang, Ming Yang, Qiang Cheng:
RAP: Scalable RPCA for Low-rank Matrix Recovery. 2113-2118 - Liang Ma, Mudhakar Srivatsa, Derya Cansever, Xifeng Yan, Sue Kase, Michelle Vanni:
Query Answering Efficiency in Expert Networks Under Decentralized Search. 2119-2124 - Matthew Ekstrand-Abueg, Richard McCreadie, Virgil Pavlu, Fernando Diaz:
A Study of Realtime Summarization Metrics. 2125-2130 - Shuguang Han, Xing Yi, Zhen Yue, Zhigeng Geng, Alyssa Glass:
Framing Mobile Information Needs: An Investigation of Hierarchical Query Sequence Structure. 2131-2136 - Li Jin, Zhuonan Feng, Ling Feng:
A Context-aware Collaborative Filtering Approach for Urban Black Holes Detection. 2137-2142 - Chi-Chun Lin, Kun-Ta Chuang, Wush Chi-Hsuan Wu, Ming-Syan Chen:
Combining Powers of Two Predictors in Optimizing Real-Time Bidding Strategy under Constrained Budget. 2143-2148 - Thanh-Nam Doan, Ee-Peng Lim:
Attractiveness versus Competition: Towards an Unified Model for User Visitation. 2149-2154 - Zhan Li, Olga Papaemmanouil, Mitch Cherniack:
OptMark: A Toolkit for Benchmarking Query Optimizers. 2155-2160 - Brian Brost, Yevgeny Seldin, Ingemar J. Cox, Christina Lioma:
Multi-Dueling Bandits and Their Application to Online Ranker Evaluation. 2161-2166 - Jiongqian Liang, Srinivasan Parthasarathy:
Robust Contextual Outlier Detection: Where Context Meets Sparsity. 2167-2172 - Kashyap Popat, Subhabrata Mukherjee, Jannik Strötgen, Gerhard Weikum:
Credibility Assessment of Textual Claims on the Web. 2173-2178 - Xinyue Liu, Xiangnan Kong, Yanhua Li:
Collective Traffic Prediction with Partially Observed Traffic History using Location-Based Social Media. 2179-2184 - Karthik Subbian, Charu C. Aggarwal, Kshiteesh Hegde:
Recommendations For Streaming Data. 2185-2190 - Zhongfang Zhuang, Chuan Lei, Elke A. Rundensteiner, Mohamed Y. Eltabakh:
PRO: Preference-Aware Recurring Query Optimization. 2191-2196 - Ling Luo, Bin Li, Irena Koprinska, Shlomo Berkovsky, Fang Chen:
Discovering Temporal Purchase Patterns with Different Responses to Promotions. 2197-2202 - Hua Wei, Yuandong Wang, Tianyu Wo, Yaxiao Liu, Jie Xu:
ZEST: A Hybrid Model on Predicting Passenger Demand for Chauffeured Car Service. 2203-2208 - Qiao Kang, Wei-keng Liao, Ankit Agrawal, Alok N. Choudhary:
A Filtering-based Clustering Algorithm for Improving Spatio-temporal Kriging Interpolation Accuracy. 2209-2214 - Jesús Camacho-Rodríguez, Dario Colazzo, Melanie Herschel, Ioana Manolescu, Soudip Roy Chowdhury:
Reuse-based Optimization for Pig Latin. 2215-2220 - Joseph St. Amand, Jun Huan:
Discriminative View Learning for Single View Co-Training. 2221-2226 - Dawei Chen, Cheng Soon Ong, Lexing Xie:
Learning Points and Routes to Recommend Trajectories. 2227-2232 - Yodsawalai Chodpathumwan, Amirhossein Aleyasen, Arash Termehchy, Yizhou Sun:
Towards Representation Independent Similarity Search Over Graph Databases. 2233-2238 - Kosetsu Tsukuda, Masahiro Hamasaki, Masataka Goto:
Why Did You Cover That Song?: Modeling N-th Order Derivative Creation with Content Popularity. 2239-2244 - Sandipan Sikdar, Matteo Marsili, Niloy Ganguly, Animesh Mukherjee:
Anomalies in the Peer-review System: A Case Study of the Journal of High Energy Physics. 2245-2250 - Chenwei Zhang, Sihong Xie, Yaliang Li, Jing Gao, Wei Fan, Philip S. Yu:
Multi-source Hierarchical Prediction Consolidation. 2251-2256 - Dongwoo Kim, Lexing Xie, Cheng Soon Ong:
Probabilistic Knowledge Graph Construction: Compositional and Incremental Approaches. 2257-2262 - Anastasia Giachanou, Ida Mele, Fabio Crestani:
Explaining Sentiment Spikes in Twitter. 2263-2268 - Henning Köhler, Sebastian Link:
Qualitative Cleaning of Uncertain Data. 2269-2274 - Ilyeop Yi, Jae-Gil Lee, Kyu-Young Whang:
APAM: Adaptive Eager-Lazy Hybrid Evaluation of Event Patterns for Low Latency. 2275-2280 - Chunkai Wang, Xiaofeng Meng, Qi Guo, Zujian Weng, Chen Yang:
OrientStream: A Framework for Dynamic Resource Allocation in Distributed Data Stream Management Systems. 2281-2286 - Yong Wu, Yuan Yao, Feng Xu, Hanghang Tong, Jian Lu:
Tag2Word: Using Tags to Generate Words for Content Based Tag Recommendation. 2287-2292 - Bei Shi, Wai Lam, Lidong Bing, Yinqing Xu:
Digesting Multilingual Reader Comments via Latent Discussion Topics with Commonality and Specificity. 2293-2298 - Bei Shi, Wai Lam:
Digesting News Reader Comments via Fine-Grained Associations with Event Facets and News Contents. 2299-2304 - Sanguthevar Rajasekaran, Subrata Saha:
Efficient Algorithms for the Two Locus Problem in Genome-Wide Association Study: Algorithms for the Two Locus Problem. 2305-2310 - Thomas Niebler, Martin Becker, Daniel Zoller, Stephan Doerfel, Andreas Hotho:
FolkTrails: Interpreting Navigation Behavior in a Social Tagging System. 2311-2316 - Panagiotis Liakos, Katia Papakonstantinopoulou, Alex Delis:
Memory-Optimized Distributed Graph Processing through Novel Compression Techniques. 2317-2322 - Tarique Anwar, Chengfei Liu, Hai Le Vu, Md. Saiful Islam:
Tracking the Evolution of Congestion in Dynamic Urban Road Networks. 2323-2328 - Huigui Rong, Xun Zhou, Chang Yang, M. Zubair Shafiq, Alex X. Liu:
The Rich and the Poor: A Markov Decision Process Approach to Optimizing Taxi Driver Revenue Efficiency. 2329-2334 - Fuzhen Zhuang, Ping Luo, Sinno Jialin Pan, Hui Xiong, Qing He:
Ensemble of Anchor Adapters for Transfer Learning. 2335-2340 - Jun-Zhe Wang, Jiun-Long Huang:
Incremental Mining of High Utility Sequential Patterns in Incremental Databases. 2341-2346 - Vladimir Ufimtsev, Soumya Sarkar, Animesh Mukherjee, Sanjukta Bhowmick:
Understanding Stability of Noisy Networks through Centrality Measures and Local Connections. 2347-2352 - Mehdi Sadri, Sharad Mehrotra, Yaming Yu:
Online Adaptive Topic Focused Tweet Acquisition. 2353-2358 - Gaurav Baruah, Haotian Zhang, Rakesh Guttikonda, Jimmy Lin, Mark D. Smucker, Olga Vechtomova:
Optimizing Nugget Annotations with Active Learning. 2359-2364 - Prudhvi Ratna Badri Satya, Kyumin Lee, Dongwon Lee, Thanh Tran, Jason (Jiasheng) Zhang:
Uncovering Fake Likers in Online Social Networks. 2365-2370 - Feng Wang, Li Chen, Weike Pan:
Where to Place Your Next Restaurant?: Optimal Restaurant Placement via Leveraging User-Generated Reviews. 2371-2376 - Justin Sampson, Fred Morstatter, Liang Wu, Huan Liu:
Leveraging the Implicit Structure within Social Media for Emergent Rumor Detection. 2377-2382 - Ting Hua, Xuchao Zhang, Wei Wang, Chang-Tien Lu, Naren Ramakrishnan:
Automatical Storyline Generation with Help from Twitter. 2383-2388 - Nikita V. Spirin, Alexander S. Kotov, Karrie G. Karahalios, Vassil Mladenov, Pavel A. Izhutov:
A Comparative Study of Query-biased and Non-redundant Snippets for Structured Search on Mobile Devices. 2389-2394 - Ibrahim M. Alabdulmohsin, Yufei Han, Yun Shen, Xiangliang Zhang:
Content-Agnostic Malware Detection in Heterogeneous Malicious Distribution Graph. 2395-2400
Industry Track Short Papers
- Liang Wang, Kuang-chih Lee, Quan Lu:
Improving Advertisement Recommendation by Enriching User Browser Cookie Attributes. 2401-2404 - Ali Braytee, Daniel R. Catchpoole, Paul J. Kennedy, Wei Liu:
Balanced Supervised Non-Negative Matrix Factorization for Childhood Leukaemia Patients. 2405-2408 - Minh-Tien Nguyen, Chien-Xuan Tran, Duc-Vu Tran, Minh-Le Nguyen:
SoLSCSum: A Linked Sentence-Comment Dataset for Social Context Summarization. 2409-2412 - Minwei Feng, Bing Xiang, Bowen Zhou:
Distributed Deep Learning for Question Answering. 2413-2416 - Seong-Ping Chuah, Huayu Wu, Yu Lu, Liang Yu, Stéphane Bressan:
Bus Routes Design and Optimization via Taxi Data Analytics. 2417-2420 - Miyoung Han, Pierre Senellart, Stéphane Bressan, Huayu Wu:
Routing an Autonomous Taxi with Reinforcement Learning. 2421-2424
Industry Track Demo Papers
- Lei Zhang, Michael Färber, Achim Rettinger:
XKnowSearch!: Exploiting Knowledge Bases for Entity-based Cross-lingual Information Retrieval. 2425-2428 - Quanzhi Li, Sameena Shah, Xiaomo Liu, Armineh Nourbakhsh, Rui Fang:
TweetSift: Tweet Topic Classification Based on Entity Knowledge Base and Topic Enhanced Word Embedding. 2429-2432 - Dejun Huang, Dhruv Gairola, Yu Huang, Zheng Zheng, Fei Chiang:
PARC: Privacy-Aware Data Cleaning. 2433-2436 - Tianyou Guo, Jun Xu, Xiaohui Yan, Jianpeng Hou, Ping Li, Zhaohui Li, Jiafeng Guo, Xueqi Cheng:
Ease the Process of Machine Learning with Dataflow. 2437-2440 - Yu-Wen Liu, Liang-Chih Liu, Chuan-Ju Wang, Ming-Feng Tsai:
FIN10K: A Web-based Information System for Financial Report Analysis and Visualization. 2441-2444 - Kewei Cheng, Jundong Li, Huan Liu:
FeatureMiner: A Tool for Interactive Feature Selection. 2445-2448 - Yinan Liu, Wei Shen, Xiaojie Yuan:
Deola: A System for Linking Author Entities in Web Document with DBLP. 2449-2452 - Chris Xing Tian, Aditya Pan, Yong Chiang Tay:
ConHub: A Metadata Management System for Docker Containers. 2453-2455 - Namyong Park, Byungsoo Jeon, Jungwoo Lee, U Kang:
BIGtensor: Mining Billion-Scale Tensor Made Easy. 2457-2460 - Mehdi Kargar, Lukasz Golab, Jaroslaw Szlichta:
eGraphSearch: Effective Keyword Search in Graphs. 2461-2464 - Amine Roukh, Ladjel Bellatreche, Carlos Ordonez:
EnerQuery: Energy-Aware Query Processing. 2465-2468 - Haixing Huang, Jinghe Song, Xuelian Lin, Shuai Ma, Jinpeng Huai:
TGraph: A Temporal Graph Data Management System. 2469-2472 - Martin Boissier, Carsten Alexander Meyer, Timo Djürken, Jan Lindemann, Kathrin Mao, Pascal Reinhardt, Tim Specht, Tim Zimmermann, Matthias Uflacker:
Analyzing Data Relevance and Access Patterns of Live Production Database Systems. 2473-2475 - David Montoya, Thomas Pellissier Tanon, Serge Abiteboul, Fabian M. Suchanek:
Thymeflow, A Personal Knowledge Base with Spatio-temporal Data. 2477-2480 - Mingxuan Yue, Liyue Fan, Cyrus Shahabi:
Inferring Traffic Incident Start Time with Loop Sensor Data. 2481-2484 - Liangyue Li, Hanghang Tong, Nan Cao, Kate Ehrlich, Yu-Ru Lin, Norbou Buchler:
TEAMOPT: Interactive Team Optimization in Big Networks. 2485-2487 - Chandima Hewa Nadungodage, Yuni Xia, John Jaehwan Lee:
GStreamMiner: A GPU-accelerated Data Stream Mining Framework. 2489-2492 - Ragunathan Mariappan, Balaji Peddamuthu, Preethi R. Raajaratnam, Sandipan Dandapat, Neeta Pande, Shourya Roy:
QART: A Tool for Quality Assurance in Real-Time in Contact Centers. 2493-2496 - Ankit Agrawal, Alok N. Choudhary:
A Fatigue Strength Predictor for Steels Using Ensemble Data Mining: Steel Fatigue Strength Predictor. 2497-2500
Workshops
- Shivakant Mishra, Qin Lv, Richard Han, Jeremy Blackburn:
CyberSafety 2016: The First International Workshop on Computational Methods in CyberSafety. 2501-2502 - Carlos Castillo, Fernando Diaz, Yu-Ru Lin, Jie Yin:
The Fourth International Workshop on Social Web for Disaster Management (SWDM 2016). 2503-2504 - Jie Tang, Keke Cai, Zhong Su, Hanghang Tong, Michalis Vazirgiannis, Yang Yang:
BigNet 2016: First Workshop on Big Network Analytics. 2505-2506 - Yi Fang, Maarten de Rijke, Huangming Xie:
DDTA 2016: The Workshop on Data-Driven Talent Acquisition. 2507-2508 - Lei Shi, Hanghang Tong, Chaoli Wang, Leman Akoglu:
ACM DAVA'16: 2nd International Workshop on DAta mining meets Visual Analytics at Big Data Era. 2509 - Sangwoo Kim, Jake Y. Chen, Vincenzo Cutello, Doheon Lee:
DTMBIO 2016: The Tenth International Workshop on Data and Text Mining in Biomedical Informatics. 2511-2512
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
last updated on 2025-11-09 22:54 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
