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Table of Contents

Author Index

Author Index


Adamic, Lada

Panel ~ Big Data: New Paradigm or "Sound and Fury, Signifying Nothing"? (Page 5)

Keynote Address ~ The Information Life of Social Networks (Page 273)


Aggarwal, Charu

Paper ~ Negative Link Prediction in Social Media (Page 87)

Paper ~ On Integrating Network and Community Discovery (Page 117)


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Ahmed, Amr

Paper ~ Inferring Movement Trajectories from GPS Snippets (Page 325)


Baeza-Yates, Ricardo

Paper ~ Predicting the Next App that You Are Going to Use (Page 285)

Tutorial ~ Scalability and Efficiency Challenges in Large-Scale Web Search Engines (Page 411)


Balalau, Oana Denisa

Paper ~ Finding Subgraphs with Maximum Total Density and Limited Overlap> (Page 379)


Bi, Bin

Paper ~ Learning to Recommend Related Entities to Search Users (Page 139)


Bian, Jiang

Workshop Summary ~ DL-WSDM'15: Workshop on Deep Learning for Web Search and Data Mining (Page 421)


Blanco, Roi

Paper ~ Fast and Space-Efficient Entity Linking in Queries (Page 179)


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Bonchi, Francesco

Paper ~ Finding Subgraphs with Maximum Total Density and Limited Overlap (Page 379)


Both, Andreas

Paper ~ Exploring the Space of Topic Coherence Measures> (Page 399)


Broder, Andrei

Panel ~ Big Data: New Paradigm or "Sound and Fury, Signifying Nothing"? (Page 5)


Cambazoglu, B. Barla

Tutorial ~ Scalability and Efficiency Challenges in Large-Scale Web Search Engines (Page 411)


Cao, Xun

P&E Talk ~ Semantic Matching in APP Search (Page 209)


Carbonell, Jaime

Paper ~ Concept Graph Learning from Educational Data (Page 159)


Cen, Lei

Paper ~ Personalized Mobile App Recommendation: Reconciling App Functionality and User Privacy Preference (Page 315)


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Ceroni, Andrea

Paper ~ Back to the Past: Supporting Interpretations of Forgotten Stories by Time-aware Re-Contextualization (Page 339)


Chan, T-H. Hubert

Paper ~ Finding Subgraphs with Maximum Total Density and Limited Overlap (Page 379)


Chandra, Tushar

P&E Talk ~ Regressing Towards Simpler Prediction Systems (Page 335)


Chang, Shiyu

Paper ~ Negative Link Prediction in Social Media (Page 87)


Chang, Yi

Paper ~ Robust Tree-based Causal Inference for Complex Ad Effectiveness Analysis> (Page 67)

Workshop Summary ~ The 2nd Workshop on Vertical Search Relevance at WSDM 2015 (Page 427)


Chawla, Nitesh V.

Paper ~ Will This Paper Increase Your h-Index? Scientific Impact Prediction (Page 149)


Chen, Ning

Paper ~ SimApp: A Framework for Detecting Similar Mobile Applications by Online Kernel Learning (Page 305)


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Chen, Zhumin

Paper ~ Modeling and Predicting Retweeting Dynamics on Microblogging Platforms (Page 107)


Cheng, Xueqi

Paper ~ Listwise Approach for Rank Aggregation in Crowdsourcing (Page 253)

Preface from General Chairs


Chernyak, Ekaterina

Doctoral Consortium ~ An Approach to the Problem of Annotation of Research Publications (Page 429)


Cho, Junghoo

Paper ~ Learning to Recommend Related Entities to Search Users (Page 139)


Choi, Seungjin

Paper ~ Delayed-Dynamic-Selective (DDS) Prediction for Reducing Extreme Tail Latency in Web Search (Page 7)


Chu, Wei

Paper ~ Learning to Recommend Related Entities to Search Users (Page 139)


Cohen, William W.

Paper ~ Automatic Gloss Finding for a Knowledge Base Using Ontological Constraints (Page 369)


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Cox, Ingemar Johansson

Tutorial ~ Learning About Health and Medicine from Internet Data (Page 417)


Daltayanni, Maria

Paper ~ WorkerRank: Using Employer Implicit Judgements to Infer Worker Reputation (Page 263)


Dalvi, Bhavana

Paper ~ Automatic Gloss Finding for a Knowledge Base Using Ontological Constraints (Page 369)


de Alfaro, Luca

Paper ~ WorkerRank: Using Employer Implicit Judg


ements to Infer Worker Reputations (Page 263)

de Rijke, Maarten

Paper ~ MergeRUCB: A Method for Large-Scale Online Ranker Evaluation (Page 17)


Deng, Alex

Paper ~ Diluted Treatment Effect Estimation for Trigger Analysis in Online Controlled Experiments (Page 349)


Dong, Yuxiao

Paper ~ Will This Paper Increase Your h-Index? Scientific Impact Prediction (Page 149)


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Drutsa, Alexey

Paper ~ Engagement Periodicity in Search Engine Usage: Analysis and its Application to Search Quality Evaluation (Page 27)


Elnikety, Sameh

Paper ~ Delayed-Dynamic-Selective (DDS) Prediction for Reducing Extreme Tail Latency in Web Search (Page 7)


Ester, Martin

Paper ~ FLAME: A Probabilistic Model Combining Aspect Based Opinion Mining and Collaborative Filtering (Page 199)


Faloutsos, Christos

Paper ~ Modeling Website Popularity Competition in the Attention-Activity Marketplace(Page 389)


Flatow, David

Paper ~ On the Accuracy of Hyper-local Geotagging of Social Media Content (Page 127)


Franklin, Michael

Panel ~ Big Data: New Paradigm or "Sound and Fury, Signifying Nothing"? (Page 5)

Keynote Address ~ Making Sense of Big Data with the Berkeley Data Analytics Stack (Page 1)


Gabrilovich, Evgeniy

Preface by the Program Chairs


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Gao, Bin

Workshop Summary ~ DL-WSDM'15: Workshop on Deep Learning for Web Search and Data Miningstrong> (Page 421)


Gao, Shuai

Paper ~ Modeling and Predicting Retweeting Dynamics on Microblogging Platforms (Page 107)


Gonçalves, Marcos A.

Paper ~ On Tag Recommendation for Expertise Profiling: A Case Study in the Scientific Domain (Page 189)


Gong, Neil Zhenqiang

Paper ~ Personalized Mobile App Recommendation: Reconciling App Functionality and User Privacy Preference (Page 315)


Guha, Ramanathan

Paper ~ User Modeling for a Personal Assistant (Page 275)


Gullo, Francesco

Paper ~ Finding Subgraphs with Maximum Total Density and Limited Overlap (Page 379)


Guo, Jiafeng

Paper ~ Listwise Approach for Rank Aggregation in Crowdsourcing (Page 253)


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Gupta, Vineet

Paper ~ User Modeling for a Personal Assistant (Page 275)


Gusev, Gleb

Paper ~ Engagement Periodicity in Search Engine Usage: Analysis and its Application to Search Quality Evaluation (Page 27)


Han, Jiawei

Paper ~ On Integrating Network and Community Discovery (Page 117)


Harrison, Beverly

Paper ~ Predicting the Next App that You Are Going to Use (Page 285)


Hassan Awadallah, Ahmed

Paper ~ Understanding and Predicting Graded Search Satisfaction (Page 57)


He, Yuxiong

Paper ~ Delayed-Dynamic-Selective (DDS) Prediction for Reducing Extreme Tail Latency in Web Search (Page 7)


Hiemstra, Djoerd

Workshop Summary ~ HIA'15: Heterogeneous Information Access Workshop at WSDM 2015 (Page 423)


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Hinneburg, Alexander

Paper ~ Exploring the Space of Topic Coherence Measures (Page 399)


Hoi, Steven C. H.

Paper ~ SimApp: A Framework for Detecting Similar Mobile Applications by Online Kernel Learning (Page 305)


Hsu, Bo-June (Paul)

Paper ~ Learning to Recommend Related Entities to Search Users (Page 139)


Hu, Victor

Paper ~ Diluted Treatment Effect Estimation for Trigger Analysis in Online Controlled Experiments (Page 349)


Huang, Kaizhu

Workshop Summary ~ WSDM'15 Workshop Summary / Scalable Data Analytics: Theory and Applications (Page 425)


Huang, Zeqian

P&E Talk ~ Semantic Matching in APP Search (Page 209)


Hung, Chih-Chieh

Workshop Summary ~ The 2nd Workshop on Vertical Search Relevance at WSDM 2015 (Page 427)


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Hwang, Seung-won

Paper ~ Delayed-Dynamic-Selective (DDS) Prediction for Reducing Extreme Tail Latency in Web Search (Page 7)


Ipeirotis, Panagiotis G.

Paper ~ Hiring Behavior Models for Online Labor Markets (Page 223)


Ji, Rong

P&E Talk ~ Global Optimization for Display Ad (Page 337)


Jiang, Di

Paper ~ Predicting the Next App that You Are Going to Use (Page 285)


Jiang, Jiepu

Paper ~ Understanding and Predicting Graded Search Satisfaction> (Page 57)


Jiang, Zhuoren

Doctoral Consortium ~ Chronological Scientific Information Recommendation via Supervised Dynamic Topic Modeling (Page 453)


Jin, Hongxia

Paper ~ Personalized Mobile App Recommendation: Reconciling App Functionality and User Privacy Preference (Page 315)


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Jin, Long

P&E Talk ~ Semantic Matching in APP Search (Page 209)


Joachims, Thorsten

Keynote Address ~ Learning from User Interactions (Page 137)


Johnson, Reid A.

Paper ~ Will This Paper Increase Your h-Index? Scientific Impact Prediction (Page 149)


Jose, Joemon M.

Workshop Summary ~ HIA'15: Heterogeneous Information Access Workshop at WSDM 2015 (Page 423)


Kang, Zhanhui

P&E Talk ~ Semantic Matching in APP Search (Page 209)


Kanhabua, Nattiya

Paper ~ Back to the Past: Supporting Interpretations of Forgotten Stories by Time-aware Re-Contextualization (Page 339)


Kanza, Yaron

Paper ~ On the Accuracy of Hyper-local Geotagging of Social Media Content (Page 127)


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Kapoor, Komal

Paper ~ Just in Time Recommendations - Modeling the Dynamics of Boredom in Activity Streams (Page 233)


Kibanov, Mark

Doctoral Consortium ~ Mining Groups Stability in Ubiquitous and Social Environments: Communities, Classes and Clusters (Page 441)


Kim, Jin Young

Paper ~ Toward Predicting the Outcome of an A/B Experiment for Search Relevance (Page 37)


Kim, Saehoon

Paper ~ Delayed-Dynamic-Selective (DDS) Prediction for Reducing Extreme Tail Latency in Web Search (Page 7)


King, Irwin

Workshop Summary ~ WSDM'15 Workshop Summary / Scalable Data Analytics: Theory and Applications (Page 425)


Kokkodis, Marios

Paper ~ Hiring Behavior Models for Online Labor Markets (Page 223)


Kong, Deguang

Paper ~ Personalized Mobile App Recommendation: Reconciling App Functionality and User Privacy Preference (Page 315)


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Kumar, Ravi

Paper ~ Driven by Food: Modeling Geographic Choice (Page 213)

Paper ~ Inverting a Steady-State (Page 359)


Laender, Alberto H. F.

Paper ~ On Tag Recommendation for Expertise Profiling: A Case Study in the Scientific Domain (Page 189)


Lampos, Vasileios

Tutorial ~ Learning About Health and Medicine from Internet Data (Page 417)


Lan, Yanyan

Paper ~ Listwise Approach for Rank Aggregation in Crowdsourcing (Page 253)


Lattanzi, Silvio

Tutorial ~ Distributed Graph Algorithmics: Theory and Practice (Page 419)

Paper ~ The Power of Random Neighbors in Social Networks (Page 77)


Lauw, Hady W.

Paper ~ Review Synthesis for Micro-Review Summarization (Page 169)


Leskovec, Jure

P&E Talk ~ New Directions in Recommender Systems (Page 3)


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Li, Hang

Preface from General Chairs


Li, Lihong

Tutorial ~ Offline Evaluation and Optimization for Interactive Systemsstrong> (Page 413)

Paper ~ Toward Predicting the Outcome of an A/B Experiment for Search Relevancestrong> (Page 37)


Li, Mingzhi

P&E Talk ~ Semantic Matching in APP Searchstrong> (Page 209)


Li, Mu

Paper ~ Inferring Movement Trajectories from GPS Snippetsstrong> (Page 325)


Li, Rui

Workshop Summary ~ The 2nd Workshop on Vertical Search Relevance at WSDM 2015strong> (Page 427)


Li, Shaohua

Paper ~ SimApp: A Framework for Detecting Similar Mobile Applications by Online Kernel Learningstrong> (Page 305)


Liu, Bin

Paper ~ Personalized Mobile App Recommendation: Reconciling App Functionality and User Privacy Preferencestrong> (Page 315)


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Liu, Hanxiao

Paper ~ Concept Graph Learning from Educational Data (Page 159)


Liu, Huan

Paper ~ Negative Link Prediction in Social Media (Page 87)

Paper ~ Sarcasm Detection on Twitter: A Behavioral Modeling Approach (Page 97)


Liu, Jialu

Paper ~ On Integrating Network and Community Discovery (Page 117)


Liu, Yunfeng

P&E Talk ~ Semantic Matching in APP Search (Page 209)


Long, Guoping

Paper ~ Listwise Approach for Rank Aggregation in Crowdsourcing (Page 253)


Luo, Roger Jie

Workshop Summary ~ HIA'15: Heterogeneous Information Access Workshop at WSDM 2015 (Page 423)


Lyu, Michael R.

Workshop Summary ~ WSDM'15 Workshop Summary / Scalable Data Analytics: Theory and Applications (Page 425)


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Ma, Hao

Paper ~ Learning to Recommend Related Entities to Search Users (Page 139)


Ma, Jun

Paper ~ Modeling and Predicting Retweeting Dynamics on Microblogging Platforms (Page 107)


Ma, Wanli

Paper ~ Concept Graph Learning from Educational Data (Page 159)


Mahdian, Mohammad

Paper ~ Driven by Food: Modeling Geographic Choice (Page 213)


Mehrotra, Rishabh

Doctoral Consortium ~ Topics, Tasks & Beyond: Learning Representations for Personalization (Page 459)


Meij, Edgar

Paper ~ Fast and Space-Efficient Entity Linking in Queries (Page 179)


Minkov, Einat

Paper ~ Automatic Gloss Finding for a Knowledge Base Using Ontological Constraints (Page 369)


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Mirrokni, Vahab

Tutorial ~ Distributed Graph Algorithmics: Theory and Practice (Page 419)


Naaman, Mor

Paper ~ On the Accuracy of Hyper-local Geotagging of Social Media Content (Page 127)


Nguyen, Thanh-Son

Paper ~ Review Synthesis for Micro-Review Summarizationstrong> (Page 169)


Niederée, Claudia

Paper ~ Back to the Past: Supporting Interpretations of Forgotten Stories by Time-aware Re-Contextualization (Page 339)


Niu, Shuzi

Paper ~ Listwise Approach for Rank Aggregation in Crowdsourcing (Page 253)


Ottaviano, Giuseppe

Paper ~ Fast and Space-Efficient Entity Linking in Queries (Page 179)

Paper ~ Optimal Space-time Tradeoffs for Inverted Indexes (Page 47)


Pang, Bo

Paper ~ Driven by Food: Modeling Geographic Choice (Page 213)


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Papadimitriou, Panagiotis

Paper ~ Hiring Behavior Models for Online Labor Markets (Page 223)

Paper ~ WorkerRank: Using Employer Implicit Judgements to Infer Worker Reputation (Page 263)


Raghunathan, Vivek

Paper ~ User Modeling for a Personal Assistant (Page 275)


Rajadesingan, Ashwin

Paper ~ Sarcasm Detection on Twitter: A Behavioral Modeling Approach (Page 97)


Ribeiro, Bruno

Paper ~ Modeling Website Popularity Competition in the Attention-Activity Marketplace (Page 389)


Ribeiro, Isac S.

Paper ~ On Tag Recommendation for Expertise Profiling: A Case Study in the Scientific Domain (Page 189)


Rijke, Maarten de

Panel ~ Big Data: New Paradigm or "Sound and Fury, Signifying Nothing"? (Page 5)


Röder, Michael

Paper ~ Exploring the Space of Topic Coherence Measures (Page 399)


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Santos, Rodrygo L. T.

Paper ~ On Tag Recommendation for Expertise Profiling: A Case Study in the Scientific Domain (Page 189)


Schrater, Paul

Paper ~ Just in Time Recommendations - Modeling the Dynamics of Boredom in Activity Streams (Page 233)


Serdyukov, Pavel

Paper ~ Engagement Periodicity in Search Engine Usage: Analysis and its Application to Search Quality Evaluation (Page 27)


Shi, Xiaolin

Paper ~ Understanding and Predicting Graded Search Satisfaction (Page 57)


Silvestri, Fabrizio

Paper ~ Predicting the Next App that You Are Going to Use (Page 285)


Singer, Yaron

Paper ~ The Power of Random Neighbors in Social Networks (Page 77)


Sloan, Marc

Tutorial ~ Dynamic Information Retrieval Modeling (Page 409)


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Smola, Alexander J.

Paper ~ Inferring Movement Trajectories from GPS Snippets (Page 325)


Sozio, Mauro

Paper ~ Finding Subgraphs with Maximum Total Density and Limited Overlap (Page 379)


Srikant, Ramakrishnan

Paper ~ User Modeling for a Personal Assistant (Page 275)


Srivastava, Jaideep

Paper ~ Just in Time Recommendations - Modeling the Dynamics of Boredom in Activity Streams> (Page 233)


Subbian, Karthik

Paper ~ Just in Time Recommendations - Modeling the Dynamics of Boredom in Activity Streams (Page 233)


Sun, Wei

Paper ~ Robust Tree-based Causal Inference for Complex Ad Effectiveness Analysis (Page 67)


Talukdar, Partha P.

Paper ~ Automatic Gloss Finding for a Knowledge Base Using Ontological Constraints (Page 369)


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Tang, Duyu

Doctoral Consortium ~ Sentiment-Specific Representation Learning for Document-Level Sentiment Analysis (Page 447)


Tang, Jie

Preface by the Program Chairs


Tang, Jiliang

Paper ~ Negative Link Prediction in Social Media> (Page 87)


Tomkins, Andrew

Paper ~ Driven by Food: Modeling Geographic Choice (Page 213)

Paper ~ Inverting a Steady-State (Page 359)


Tonellotto, Nicola

Paper ~ Optimal Space-time Tradeoffs for Inverted Indexes (Page 47)


Tran, Nam Khanh

Paper ~ Back to the Past: Supporting Interpretations of Forgotten Stories by Time-aware Re-Contextualization (Page 339)


Tsaparas, Panayiotis

Paper ~ Review Synthesis for Micro-Review Summarization (Page 169)


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Vassilvitskii, Sergei

Paper ~ Driven by Food: Modeling Geographic Choice (Page 213)

Paper ~ Inverting a Steady-State (Page 359)


Vee, Erik

Paper ~ Inverting a Steady-State (Page 359)


Venturini, Rossano

Paper ~ Optimal Space-time Tradeoffs for Inverted Indexes (Page 47)


Volkovich, Yana

Paper ~ On the Accuracy of Hyper-local Geotagging of Social Media Content (Page 127)


Wang, Jun

Tutorial ~ Dynamic Information Retrieval Modeling (Page 409)

Tutorial ~ Real-Time Bidding: A New Frontier of Computational Advertising Research (Page 415)


Wang, Kuansan

Paper ~ Learning to Recommend Related Entities to Search Users (Page 139)


Wang, Pengyuan

Paper ~ Robust Tree-based Causal Inference for Complex Ad Effectiveness Analysis (Page 67)


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White, Ryen W.

Paper ~ Understanding and Predicting Graded Search Satisfaction (Page 57)


Whiteson, Shimon

Paper ~ MergeRUCB: A Method for Large-Scale Online Ranker Evaluation (Page 17)


Wu, Yao

Paper ~ FLAME: A Probabilistic Model Combining Aspect Based Opinion Mining and Collaborative Filtering (Page 199)


Xiao, Xiaokui

Paper ~ SimApp: A Framework for Detecting Similar Mobile Applications by Online Kernel Learning (Page 305)


Xie, Ke Eddie

Paper ~ On the Accuracy of Hyper-local Geotagging of Social Media Content (Page 127)


Xie, Xing

Paper ~ You Are Where You Go: Inferring Demographic Attributes from Location Check-Ins (Page 295)


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Xing, Eric

Panel ~ Big Data: New Paradigm or "Sound and Fury, Signifying Nothing"? (Page 5)


Xiong, Hui

Paper ~ Personalized Mobile App Recommendation: Reconciling App Functionality and User Privacy Preference(Page 315)


Yang, Haiqin

Workshop Summary ~ WSDM'15 Workshop Summary / Scalable Data Analytics: Theory and Applications (Page 425)


Yang, Hui

Tutorial ~ Dynamic Information Retrieval Modeling (Page 409)


Yang, Jian

Paper ~ Robust Tree-based Causal Inference for Complex Ad Effectiveness Analysis (Page 67)


Yang, Yiming

Paper ~ Concept Graph Learning from Educational Data (Page 159)


Yin, Dawei

Paper ~ Robust Tree-based Causal Inference for Complex Ad Effectiveness Analysis (Page 67)

Workshop Summary ~ The 2nd Workshop on Vertical Search Relevance at WSDM 2015 (Page 427)


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Yom-Tov, Elad

Tutorial ~ Learning About Health and Medicine from Internet Data (Page 417)


Young, Joel

Paper ~ Leveraging In-Batch Annotation Bias for Crowdsourced Active Learning (Page 243)


Yu, Kai

Panel ~ Big Data: New Paradigm or "Sound and Fury, Signifying Nothing"? (Page 5)


Yu, Lei

Paper ~ Listwise Approach for Rank Aggregation in Crowdsourcing (Page 253)


Yuan, Nicholas Jing

Paper ~ You Are Where You Go: Inferring Demographic Attributes from Location Check-Ins (Page 295)


Yuan, Shuai

Tutorial ~ Real-Time Bidding: A New Frontier of Computational Advertising Research (Page 415)


Zafarani, Reza

Paper ~ Sarcasm Detection on Twitter: A Behavioral Modeling Approach (Page 97)


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Zhang, Fuzheng

Paper ~ You Are Where You Go: Inferring Demographic Attributes from Location Check-Ins (Page 295)


Zhang, Yongfeng

Doctoral Consortium ~ Incorporating Phrase-Level Sentiment Analysis on Textual Reviews for Personalized Recommendation (Page 435)


Zhong, Wen

Paper ~ You Are Where You Go: Inferring Demographic Attributes from Location Check-Ins (Page 295)


Zhong, Yuan

Paper ~ You Are Where You Go: Inferring Demographic Attributes from Location Check-Ins (Page 295)


Zhou, Ke

Workshop Summary ~ HIA'15: Heterogeneous Information Access Workshop at WSDM 2015 (Page 423)


Zhu, Kaihua

P&E Talk ~ Boosting Search with Deep Understanding of Contents and Users (Page 211)


Zhuang, Honglei

Paper ~ Leveraging In-Batch Annotation Bias for Crowdsourced Active Learning> (Page 243)


Zhuo, Juchao

P&E Talk ~ Semantic Matching in APP Search (Page 209)


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Zitouni, Imed

Paper ~ Toward Predicting the Outcome of an A/B Experiment for Search Relevance (Page 37)


Zoghi, Masrour

Paper ~ MergeRUCB: A Method for Large-Scale Online Ranker Evaluation (Page 17)