Conference on Web Search and Data Mining (2017)
Proceedings of the 1st Workshop on Scholarly Web Mining, SWM@WSDM 2017, Cambridge, United Kingdom, February 10, 2017
Describing Data Processing Pipelines in Scientific Publications for Big Data Injection
Sepideh Mesbah
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Alessandro Bozzon
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Christoph Lofi
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Geert-Jan Houben
Scalable Algorithm for Probabilistic Overlapping Community Detection
Kento Nozawa
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Kei Wakabayashi
Effectively identifying users' research interests for scholarly reference management and discovery
Marco Rossetti
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Saúl Vargas
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Davide Magatti
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Benjamin Pettit
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Daniel Kershaw
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Maya Hristakeva
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Kris Jack
Building recommender systems for scholarly information
Maya Hristakeva
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Daniel Kershaw
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Marco Rossetti
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Petr Knoth
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Benjamin Pettit
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Saúl Vargas
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Kris Jack
ScholarBase: Towards a Cross-Domain Knowledgebase for Linked Scholarly Data
Mahmoud Elbattah
Citations and Readership are Poor Indicators of Research Excellence: Introducing TrueImpactDataset, a New Dataset for Validating Research Evaluation Metrics
Drahomira Herrmannova
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Robert M. Patton
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Petr Knoth
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Christopher G. Stahl
Predicting MeSH Beyond MEDLINE
Adam K. Kehoe
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Vetle I. Torvik
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Matthew B. Ross
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Neil R. Smalheiser
Linking Mathematical Expressions to Wikipedia
Giovanni Yoko Kristianto
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Akiko Aizawa
Proceedings of the Tenth ACM International Conference on Web Search and Data Mining, WSDM 2017, Cambridge, United Kingdom, February 6-10, 2017
Ten Years of Wisdom
Ricardo Baeza-Yates
Enterprise Employee Training via Project Team Formation
Jiawei Zhang
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Philip S. Yu
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Yuanhua Lv
iPhone's Digital Marketplace: Characterizing the Big Spenders
Farshad Kooti
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Mihajlo Grbovic
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Luca Maria Aiello
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Eric Bax
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Kristina Lerman
Raising Graphs From Randomness to Reveal Information Networks
Róbert Pálovics
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András A. Benczúr
How Smart Does Your Profile Image Look?: Estimating Intelligence from Social Network Profile Images
Xingjie Wei
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David Stillwell
Anticipating Information Needs Based on Check-in Activity
Jan R. Benetka
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Krisztian Balog
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Kjetil Nørvåg
RedQueen: An Online Algorithm for Smart Broadcasting in Social Networks
Ali Zarezade
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Utkarsh Upadhyay
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Hamid R. Rabiee
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Manuel Gomez-Rodriguez
Uncovering the Dynamics of Crowdlearning and the Value of Knowledge
Utkarsh Upadhyay
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Isabel Valera
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Manuel Gomez-Rodriguez
Leveraging Behavioral Factorization and Prior Knowledge for Community Discovery and Profiling
Mohammad Akbari
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Tat-Seng Chua
Reducing Controversy by Connecting Opposing Views
Kiran Garimella
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Gianmarco De Francisci Morales
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Aristides Gionis
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Michael Mathioudakis
Detecting and Characterizing Eating-Disorder Communities on Social Media
Tao Wang
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Markus Brede
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Antonella Ianni
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Emmanouil Mentzakis
The Influence of Early Respondents: Information Cascade Effects in Online Event Scheduling
Daniel M. Romero
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Katharina Reinecke
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Lionel P. Robert Jr.
Evolution of Ego-networks in Social Media with Link Recommendations
Luca Maria Aiello
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Nicola Barbieri
Link Prediction with Cardinality Constraint
Jiawei Zhang
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Jianhui Chen
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Junxing Zhu
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Yi Chang
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Philip S. Yu
Learning Parametric Models for Context-Aware Query Auto-Completion via Hawkes Processes
Liangda Li
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Hongbo Deng
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Jianhui Chen
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Yi Chang
Does Document Relevance Affect the Searcher's Perception of Time?
Cheng Luo
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Yiqun Liu
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Tetsuya Sakai
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Ke Zhou
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Fan Zhang
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Xue Li
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Shaoping Ma
Generating Illustrative Snippets for Open Data on the Web
Gong Cheng
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Cheng Jin
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Wentao Ding
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Danyun Xu
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Yuzhong Qu
Investigation of User Search Behavior While Facing Heterogeneous Search Services
Xin Li
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Yiqun Liu
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Rongjie Cai
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Shaoping Ma
Click Through Rate Prediction for Local Search Results
Fidel Cacheda
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Nicola Barbieri
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Roi Blanco
Document Retrieval Model Through Semantic Linking
Faezeh Ensan
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Ebrahim Bagheri
A Concise Integer Linear Programming Formulation for Implicit Search Result Diversification
Haitao Yu
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Adam Jatowt
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Roi Blanco
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Hideo Joho
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Joemon M. Jose
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Long Chen
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Fajie Yuan
A Comparison of Document-at-a-Time and Score-at-a-Time Query Evaluation
Matt Crane
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J. Shane Culpepper
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Jimmy Lin
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Joel M. Mackenzie
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Andrew Trotman
ANNE: Improving Source Code Search using Entity Retrieval Approach
Venkatesh Vinayakarao
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Anita Sarma
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Rahul Purandare
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Shuktika Jain
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Saumya Jain
Partitioning and Segment Organization Strategies for Real-Time Selective Search on Document Streams
Yulu Wang
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Jimmy Lin
Modeling Event Importance for Ranking Daily News Events
Vinay Setty
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Abhijit Anand
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Arunav Mishra
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Avishek Anand
A Cost Model for Long-Term Compressed Data Retention
Kewen Liao
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Alistair Moffat
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Matthias Petri
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Anthony Wirth
Neural Models for Full Text Search
Nick Craswell
Reliable Medical Diagnosis from Crowdsourcing: Discover Trustworthy Answers from Non-Experts
Yaliang Li
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Nan Du
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Chaochun Liu
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Yusheng Xie
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Wei Fan
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Qi Li
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Jing Gao
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Huan Sun
PRED: Periodic Region Detection for Mobility Modeling of Social Media Users
Quan Yuan
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Wei Zhang
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Chao Zhang
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Xinhe Geng
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Gao Cong
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Jiawei Han
Applying Space Syntax to Online Mapping Tools
Yandi Li
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Nicola Barbieri
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Daniele Quercia
Semantic-aware Query Processing for Activity Trajectories
Huiwen Liu
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Jiajie Xu
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Kai Zheng
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Chengfei Liu
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Lan Du
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Xian Wu
Keeping Apace with Progress in Natural Language Processing
Claire Cardie
Task-Guided and Path-Augmented Heterogeneous Network Embedding for Author Identification
Ting Chen
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Yizhou Sun
Beyond the Words: Predicting User Personality from Heterogeneous Information
Honghao Wei
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Fuzheng Zhang
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Nicholas Jing Yuan
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Chuan Cao
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Hao Fu
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Xing Xie
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Yong Rui
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Wei-Ying Ma
German Typographers vs. German Grammar: Decomposition of Wikipedia Category Labels into Attribute-Value Pairs
Marius Pasca
Comparative Document Analysis for Large Text Corpora
Xiang Ren
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Yuanhua Lv
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Kuansan Wang
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Jiawei Han
Constructing and Embedding Abstract Event Causality Networks from Text Snippets
Sendong Zhao
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Quan Wang
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Sean Massung
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Bing Qin
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Ting Liu
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Bin Wang
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ChengXiang Zhai
Fun Facts: Automatic Trivia Fact Extraction from Wikipedia
David Tsurel
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Dan Pelleg
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Ido Guy
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Dafna Shahaf
Related Event Discovery
Cheng Li
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Michael Bendersky
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Vijay Garg
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Sujith Ravi
Lightweight Multilingual Entity Extraction and Linking
Aasish Pappu
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Roi Blanco
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Yashar Mehdad
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Amanda Stent
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Kapil Thadani
Predicting Completeness in Knowledge Bases
Luis Galárraga
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Simon Razniewski
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Antoine Amarilli
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Fabian M. Suchanek
Synthesis of Forgiving Data Extractors
Adi Omari
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Sharon Shoham
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Eran Yahav
Concept Embedded Convolutional Semantic Model for Question Retrieval
Pengwei Wang
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Yong Zhang
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Lei Ji
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Jun Yan
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Lianwen Jin
Summarizing Answers in Non-Factoid Community Question-Answering
Hongya Song
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Zhaochun Ren
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Shangsong Liang
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Piji Li
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Jun Ma
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Maarten de Rijke
Multi-Column Convolutional Neural Networks with Causality-Attention for Why-Question Answering
Jong-Hoon Oh
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Kentaro Torisawa
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Canasai Kruengkrai
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Ryu Iida
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Julien Kloetzer
Joint Deep Modeling of Users and Items Using Reviews for Recommendation
Lei Zheng
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Vahid Noroozi
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Philip S. Yu
Multi-Product Utility Maximization for Economic Recommendation
Qi Zhao
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Yongfeng Zhang
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Yi Zhang
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Daniel Friedman
Groove Radio: A Bayesian Hierarchical Model for Personalized Playlist Generation
Shay Ben-Elazar
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Gal Lavee
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Noam Koenigstein
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Oren Barkan
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Hilik Berezin
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Ulrich Paquet
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Tal Zaccai
Temporally Factorized Network Modeling for Evolutionary Network Analysis
Wenchao Yu
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Charu C. Aggarwal
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Wei Wang
Not Enough Data?: Joint Inferring Multiple Diffusion Networks via Network Generation Priors
Xinran He
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Yan Liu
Online Matrix Completion for Signed Link Prediction
Jing Wang
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Jie Shen
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Ping Li
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Huan Xu
Social Collaborative Viewpoint Regression with Explainable Recommendations
Zhaochun Ren
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Shangsong Liang
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Piji Li
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Shuaiqiang Wang
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Maarten de Rijke
Recurrent Recommender Networks
Chao-Yuan Wu
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Amr Ahmed
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Alex Beutel
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Alexander J. Smola
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How Jing
Bartering Books to Beers: A Recommender System for Exchange Platforms
Jérémie Rappaz
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Maria-Luiza Vladarean
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Julian J. McAuley
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Michele Catasta
Neural Survival Recommender
How Jing
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Alexander J. Smola
Directed Edge Recommender System
Ios Kotsogiannis
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Elena Zheleva
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Ashwin Machanavajjhala
Machine Learning at Amazon
Ralf Herbrich
Online Actions with Offline Impact: How Online Social Networks Influence Online and Offline User Behavior
Tim Althoff
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Pranav Jindal
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Jure Leskovec
Social Incentive Optimization in Online Social Networks
Guangde Chen
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Bee-Chung Chen
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Deepak Agarwal
Counting Graphlets: Space vs Time
Marco Bressan
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Flavio Chierichetti
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Ravi Kumar
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Stefano Leucci
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Alessandro Panconesi
Representation Learning with Pair-wise Constraints for Collaborative Ranking
Fuzhen Zhuang
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Dan Luo
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Nicholas Jing Yuan
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Xing Xie
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Qing He
Statistical Spoken Dialogue Systems and the Challenges for Machine Learning
Steve J. Young
Primum Non Nocere: Healthcare In The Digital Age
Anjali Joshi
Managing Risk of Bidding in Display Advertising
Haifeng Zhang
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Weinan Zhang
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Yifei Rong
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Kan Ren
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Wenxin Li
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Jun Wang
Predicting Online Purchase Conversion for Retargeting
Jinyoung Yeo
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Sungchul Kim
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Eunyee Koh
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Seung-won Hwang
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Nedim Lipka
Motifs in Temporal Networks
Ashwin Paranjape
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Austin R. Benson
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Jure Leskovec
Modeling Air Travel Choice Behavior with Mixed Kernel Density Estimations
Zhenni Feng
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Yanmin Zhu
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Jian Cao
Location Influence in Location-based Social Networks
Muhammad Aamir Saleem
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Rohit Kumar
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Toon Calders
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Xike Xie
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Torben Bach Pedersen
Probabilistic Social Sequential Model for Tour Recommendation
Vineeth Rakesh
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Niranjan Jadhav
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Alexander Kotov
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Chandan K. Reddy
Trustworthy Analysis of Online A/B Tests: Pitfalls, challenges and solutions
Alex Deng
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Jiannan Lu
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Jonthan Litz
Learning Sensitive Combinations of A/B Test Metrics
Eugene Kharitonov
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Alexey Drutsa
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Pavel Serdyukov
Real-Time Bidding by Reinforcement Learning in Display Advertising
Han Cai
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Kan Ren
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Weinan Zhang
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Kleanthis Malialis
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Jun Wang
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Yong Yu
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Defeng Guo
Deep Memory Networks for Attitude Identification
Cheng Li
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Xiaoxiao Guo
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Qiaozhu Mei
D-Cube: Dense-Block Detection in Terabyte-Scale Tensors
Kijung Shin
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Bryan Hooi
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Jisu Kim
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Christos Faloutsos
Modeling Document Networks with Tree-Averaged Copula Regularization
Yuan He
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Cheng Wang
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Changjun Jiang
Multilinear Factorization Machines for Multi-Task Multi-View Learning
Chun-Ta Lu
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Lifang He
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Weixiang Shao
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Bokai Cao
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Philip S. Yu
Algorithms for Active Classifier Selection: Maximizing Recall with Precision Constraints
Paul N. Bennett
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David Maxwell Chickering
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Christopher Meek
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Xiaojin Zhu
DiSMEC: Distributed Sparse Machines for Extreme Multi-label Classification
Rohit Babbar
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Bernhard Schölkopf
Label Informed Attributed Network Embedding
Xiao Huang
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Jundong Li
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Xia Hu
Embedding of Embedding (EOE): Joint Embedding for Coupled Heterogeneous Networks
Linchuan Xu
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Xiaokai Wei
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Jiannong Cao
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Philip S. Yu
Random Semantic Tensor Ensemble for Scalable Knowledge Graph Link Prediction
Yi Tay
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Anh Tuan Luu
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Siu Cheung Hui
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Falk Brauer
S-HOT: Scalable High-Order Tucker Decomposition
Jinoh Oh
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Kijung Shin
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Evangelos E. Papalexakis
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Christos Faloutsos
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Hwanjo Yu
Unsupervised Ranking using Graph Structures and Node Attributes
Chin-Chi Hsu
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Yi-An Lai
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Wen-Hao Chen
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Ming-Han Feng
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Shou-De Lin
Unbiased Learning-to-Rank with Biased Feedback
Thorsten Joachims
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Adith Swaminathan
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Tobias Schnabel
Learning from User Interactions in Personal Search via Attribute Parameterization
Michael Bendersky
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Xuanhui Wang
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Donald Metzler
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Marc Najork
Delving Deep into Personal Photo and Video Search
Lu Jiang
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Yannis Kalantidis
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Liangliang Cao
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Sachin Farfade
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Jiliang Tang
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Alexander G. Hauptmann
Harnessing the Power of Data Science through Research
Andrew Blake
Neural Text Embeddings for Information Retrieval
Bhaskar Mitra
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Nick Craswell
Utilizing Knowledge Graphs in Text-centricInformation Retrieval
Laura Dietz
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Alexander Kotov
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Edgar Meij
Social Media Anomaly Detection: Challenges and Solutions
Yan Liu
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Sanjay Chawla
Workshop on Scholarly Web Mining (SWM 2017)
Robert M. Patton
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Thomas E. Potok
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Petr Knoth
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Drahomira Herrmannova
Mining Actionable Insights from Social Networksat WSDM 2017
Faezeh Ensan
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Zeinab Noorian
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Ebrahim Bagheri
1st International Workshop on Search and Mining Terrorist Online Content & Advances in Data Science for Cyber Security and Risk on the Web
Theodora Tsikrika
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Babak Akhgar
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Vasilis Katos
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Stefanos Vrochidis
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Pete Burnap
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Matthew L. Williams
WSDM 2017 Workshop on Mining Online Health Reports: MOHRS 2017
Nigel Collier
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Nut Limsopatham
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Aron Culotta
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Mike Conway
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Ingemar J. Cox
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Vasileios Lampos
WSDM Cup 2017: Vandalism Detection and Triple Scoring
Stefan Heindorf
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Martin Potthast
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Hannah Bast
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Björn Buchhold
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Elmar Haussmann
Beyond Query Logs: Recommendation and Evaluation
Matthew Ryan Mitsui
Recommender Systems: Research Direction
Manoj Reddy Dareddy
Modeling Source Code to Support Retrieval-Based Applications
Venkatesh Vinayakarao
Scalable Text Analysis
Zijun Xue
Quantifying and Bursting the Online Filter Bubble
Kiran Garimella
New Probabilistic Models for Recommender Systems with Rich Contextual and Content Information
Eliezer de Souza da Silva
Mining Medical Causality for Diagnosis Assistance
Sendong Zhao
Adapting Information Retrieval to User Signals via Stochastic Models
Maria Maistro
Modeling Navigation in Information Networks
Dimitar Dimitrov