Conference on Web Search and Data Mining (2018)
Proceedings of the Eleventh ACM International Conference on Web Search and Data Mining, WSDM 2018, Marina Del Rey, CA, USA, February 5-9, 2018
A Call to Arms: Embrace Assistive AI Systems!
Andrei Z. Broder
On the Power of Massive Text Data
Jiawei Han
Theoretical Impediments to Machine Learning With Seven Sparks from the Causal Revolution
Judea Pearl
Conversations, Machine Learning and Privacy: LinkedIn's Path Towards Transforming Interaction with Its Members
Igor Perisic
From Search to Research: Direct Answers, Perspectives and Dialog
Harry Shum
Scalable Algorithms in the Age of Big Data and Network Sciences: Characterization, Primitives, and Techniques
Shang-Hua Teng
WSDM Cup 2018: Music Recommendation and Churn Prediction
Yian Chen
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Xing Xie
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Shou-De Lin
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Arden Chiu
Performance Analysis of a Privacy Constrained kNN Recommendation Using Data Sketches
Armita Afsharinejad
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Neil Hurley
Can you Trust the Trend?: Discovering Simpson's Paradoxes in Social Data
Nazanin Alipourfard
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Peter G. Fennell
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Kristina Lerman
Deep Neural Architecture for Multi-Modal Retrieval based on Joint Embedding Space for Text and Images
Saeid Balaneshin Kordan
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Alexander Kotov
A Discrete Choice Model for Subset Selection
Austin R. Benson
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Ravi Kumar
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Andrew Tomkins
Latent Cross: Making Use of Context in Recurrent Recommender Systems
Alex Beutel
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Paul Covington
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Sagar Jain
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Can Xu
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Jia Li
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Vince Gatto
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Ed H. Chi
Consistent Transformation of Ratio Metrics for Efficient Online Controlled Experiments
Roman Budylin
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Alexey Drutsa
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Ilya Katsev
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Valeriya Tsoy
Neural Graph Learning: Training Neural Networks Using Graphs
Thang D. Bui
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Sujith Ravi
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Vivek Ramavajjala
Sketch 'Em All: Fast Approximate Similarity Search for Dynamic Data Streams
Marc Bury
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Chris Schwiegelshohn
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Mara Sorella
Fast Coreset-based Diversity Maximization under Matroid Constraints
Matteo Ceccarello
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Andrea Pietracaprina
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Geppino Pucci
Putting Data in the Driver's Seat: Optimizing Earnings for On-Demand Ride-Hailing
Harshal A. Chaudhari
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John W. Byers
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Evimaria Terzi
Improving Negative Sampling for Word Representation using Self-embedded Features
Long Chen
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Fajie Yuan
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Joemon M. Jose
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Weinan Zhang
Sequential Recommendation with User Memory Networks
Xu Chen
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Hongteng Xu
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Yongfeng Zhang
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Jiaxi Tang
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Yixin Cao
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Zheng Qin
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Hongyuan Zha
VISIR: Visual and Semantic Image Label Refinement
Sreyasi Nag Chowdhury
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Niket Tandon
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Hakan Ferhatosmanoglu
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Gerhard Weikum
Convolutional Neural Networks for Soft-Matching N-Grams in Ad-hoc Search
Zhuyun Dai
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Chenyan Xiong
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Jamie Callan
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Zhiyuan Liu
Demographics and Dynamics of Mechanical Turk Workers
Djellel Eddine Difallah
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Elena Filatova
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Panos Ipeirotis
Joint Generative-Discriminative Aggregation Model for Multi-Option Crowd Labels
Kamran Ghasedi Dizaji
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Yanhua Yang
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Heng Huang
Predicting Audio Advertisement Quality
Samaneh Ebrahimi
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Hossein Vahabi
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Matthew Prockup
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Oriol Nieto
Cognitive Biases in Crowdsourcing
Carsten Eickhoff
User Profiling through Deep Multimodal Fusion
Golnoosh Farnadi
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Jie Tang
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Martine De Cock
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Marie-Francine Moens
Orienteering Algorithms for Generating Travel Itineraries
Zachary Friggstad
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Sreenivas Gollapudi
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Kostas Kollias
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Tamás Sarlós
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Chaitanya Swamy
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Andrew Tomkins
Unsubscription: A Simple Way to Ease Overload in Email
Iftah Gamzu
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Liane Lewin-Eytan
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Natalia Silberstein
Offline A/B Testing for Recommender Systems
Alexandre Gilotte
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Clément Calauzènes
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Thomas Nedelec
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Alexandre Abraham
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Simon Dollé
Care to Share?: Learning to Rank Personal Photos for Public Sharing
Ido Guy
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Alexander Nus
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Dan Pelleg
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Idan Szpektor
Identifying Informational vs. Conversational Questions on Community Question Answering Archives
Ido Guy
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Victor Makarenkov
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Niva Hazon
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Lior Rokach
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Bracha Shapira
Robust Transfer Learning for Cross-domain Collaborative Filtering Using Multiple Rating Patterns Approximation
Ming He
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Jiuling Zhang
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Peng Yang
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Kaisheng Yao
Ballpark Crowdsourcing: The Wisdom of Rough Group Comparisons
Tom Hope
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Dafna Shahaf
Collaborative Filtering via Additive Ordinal Regression
Jun Hu
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Ping Li
Who Will Share My Image?: Predicting the Content Diffusion Path in Online Social Networks
Wenjian Hu
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Krishna Kumar Singh
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Fanyi Xiao
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Jinyoung Han
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Chen-Nee Chuah
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Yong Jae Lee
Listening to Chaotic Whispers: A Deep Learning Framework for News-oriented Stock Trend Prediction
Ziniu Hu
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Weiqing Liu
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Jiang Bian
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Xuanzhe Liu
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Tie-Yan Liu
Exploring Expert Cognition for Attributed Network Embedding
Xiao Huang
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Qingquan Song
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Jundong Li
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Xia Hu
Co-PACRR: A Context-Aware Neural IR Model for Ad-hoc Retrieval
Kai Hui
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Andrew Yates
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Klaus Berberich
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Gerard de Melo
Recommendation in Heterogeneous Information Networks Based on Generalized Random Walk Model and Bayesian Personalized Ranking
Zhengshen Jiang
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Hongzhi Liu
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Bin Fu
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Zhonghai Wu
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Tao Zhang
Fast and Scalable Distributed Loopy Belief Propagation on Real-World Graphs
Saehan Jo
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Jaemin Yoo
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U Kang
Combating Crowdsourced Review Manipulators: A Neighborhood-Based Approach
Parisa Kaghazgaran
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James Caverlee
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Anna Cinzia Squicciarini
Topic Chronicle Forest for Topic Discovery and Tracking
Noriaki Kawamae
Leveraging the Crowd to Detect and Reduce the Spread of Fake News and Misinformation
Jooyeon Kim
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Behzad Tabibian
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Alice Oh
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Bernhard Schölkopf
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Manuel Gomez-Rodriguez
REV2: Fraudulent User Prediction in Rating Platforms
Srijan Kumar
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Bryan Hooi
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Disha Makhija
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Mohit Kumar
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Christos Faloutsos
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V. S. Subrahmanian
Web Search of Fashion Items with Multimodal Querying
Katrien Laenen
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Susana Zoghbi
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Marie-Francine Moens
Joint Non-negative Matrix Factorization for Learning Ideological Leaning on Twitter
Preethi Lahoti
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Kiran Garimella
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Aristides Gionis
Bayesian Optimization for Optimizing Retrieval Systems
Dan Li
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Evangelos Kanoulas
Streaming Link Prediction on Dynamic Attributed Networks
Jundong Li
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Kewei Cheng
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Liang Wu
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Huan Liu
Inferring Dockless Shared Bike Distribution in New Cities
Zhaoyang Liu
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Yanyan Shen
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Yanmin Zhu
Multi-Dimensional Network Embedding with Hierarchical Structure
Yao Ma
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Zhaochun Ren
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Ziheng Jiang
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Jiliang Tang
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Dawei Yin
Query Driven Algorithm Selection in Early Stage Retrieval
Joel M. Mackenzie
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J. Shane Culpepper
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Roi Blanco
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Matt Crane
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Charles L. A. Clarke
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Jimmy Lin
Index Compression Using Byte-Aligned ANS Coding and Two-Dimensional Contexts
Alistair Moffat
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Matthias Petri
Fusing Diversity in Recommendations in Heterogeneous Information Networks
Sharad Nandanwar
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Aayush Moroney
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M. Narasimha Murty
Neural Personalized Ranking for Image Recommendation
Wei Niu
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James Caverlee
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Haokai Lu
Learning to Discover Domain-Specific Web Content
Kien Pham
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Aécio S. R. Santos
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Juliana Freire
Extreme Multi-label Learning with Label Features for Warm-start Tagging, Ranking & Recommendation
Yashoteja Prabhu
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Anil Kag
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Shilpa Gopinath
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Kunal Dahiya
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Shrutendra Harsola
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Rahul Agrawal
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Manik Varma
DSANLS: Accelerating Distributed Nonnegative Matrix Factorization via Sketching
Yuqiu Qian
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Conghui Tan
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Nikos Mamoulis
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David W. Cheung
Network Embedding as Matrix Factorization: Unifying DeepWalk, LINE, PTE, and node2vec
Jiezhong Qiu
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Yuxiao Dong
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Hao Ma
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Jian Li
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Kuansan Wang
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Jie Tang
Curriculum Learning for Heterogeneous Star Network Embedding via Deep Reinforcement Learning
Meng Qu
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Jian Tang
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Jiawei Han
Leveraging Implicit Contribution Amounts to Facilitate Microfinancing Requests
Suhas Ranganath
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Ghazaleh Beigi
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Huan Liu
FACH: Fast Algorithm for Detecting Cohesive Hierarchies of Communities in Large Networks
Mojtaba Rezvani
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Qing Wang
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Weifa Liang
Measuring the Latency of Depression Detection in Social Media
Farig Sadeque
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Dongfang Xu
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Steven Bethard
Peeling Bipartite Networks for Dense Subgraph Discovery
Ahmet Erdem Sariyüce
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Ali Pinar
Short-Term Satisfaction and Long-Term Coverage: Understanding How Users Tolerate Algorithmic Exploration
Tobias Schnabel
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Paul N. Bennett
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Susan T. Dumais
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Thorsten Joachims
CrossFire: Cross Media Joint Friend and Item Recommendations
Kai Shu
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Suhang Wang
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Jiliang Tang
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Yilin Wang
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Huan Liu
Modeling Time to Open of Emails with a Latent State for User Engagement Level
Moumita Sinha
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Vishwa Vinay
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Harvineet Singh
Shortcutting Label Propagation for Distributed Connected Components
Stergios Stergiou
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Dipen Rughwani
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Kostas Tsioutsiouliklis
User Intent, Behaviour, and Perceived Satisfaction in Product Search
Ning Su
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Jiyin He
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Yiqun Liu
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Min Zhang
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Shaoping Ma
Logician: A Unified End-to-End Neural Approach for Open-Domain Information Extraction
Mingming Sun
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Xu Li
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Xin Wang
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Miao Fan
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Yue Feng
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Ping Li
Personalized Top-N Sequential Recommendation via Convolutional Sequence Embedding
Jiaxi Tang
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Ke Wang
sSketch: A Scalable Sketching Technique for PCA in the Cloud
Md. Mehrab Tanjim
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Muhammad Abdullah Adnan
Hyperbolic Representation Learning for Fast and Efficient Neural Question Answering
Yi Tay
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Luu Anh Tuan
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Siu Cheung Hui
SHINE: Signed Heterogeneous Information Network Embedding for Sentiment Link Prediction
Hongwei Wang
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Fuzheng Zhang
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Min Hou
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Xing Xie
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Minyi Guo
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Qi Liu
A Unified Processing Paradigm for Interactive Location-based Web Search
Sheng Wang
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Zhifeng Bao
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Shixun Huang
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Rui Zhang
Position Bias Estimation for Unbiased Learning to Rank in Personal Search
Xuanhui Wang
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Nadav Golbandi
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Michael Bendersky
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Donald Metzler
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Marc Najork
A Path-constrained Framework for Discriminating Substitutable and Complementary Products in E-commerce
Zihan Wang
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Ziheng Jiang
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Zhaochun Ren
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Jiliang Tang
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Dawei Yin
Customer Purchase Behavior Prediction from Payment Datasets
Yu Ting Wen
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Pei-Wen Yeh
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Tzu-Hao Tsai
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Wen-Chih Peng
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Hong-Han Shuai
Tracing Fake-News Footprints: Characterizing Social Media Messages by How They Propagate
Liang Wu
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Huan Liu
Indirect Supervision for Relation Extraction using Question-Answer Pairs
Zeqiu Wu
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Xiang Ren
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Frank F. Xu
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Ji Li
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Jiawei Han
Why People Search for Images using Web Search Engines
Xiaohui Xie
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Yiqun Liu
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Maarten de Rijke
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Jiyin He
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Min Zhang
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Shaoping Ma
OpenRec: A Modular Framework for Extensible and Adaptable Recommendation Algorithms
Longqi Yang
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Eugene Bagdasaryan
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Joshua Gruenstein
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Cheng-Kang Hsieh
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Deborah Estrin
Dynamic Word Embeddings for Evolving Semantic Discovery
Zijun Yao
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Yifan Sun
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Weicong Ding
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Nikhil Rao
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Hui Xiong
Modelling Domain Relationships for Transfer Learning on Retrieval-based Question Answering Systems in E-commerce
Jianfei Yu
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Minghui Qiu
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Jing Jiang
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Jun Huang
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Shuangyong Song
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Wei Chu
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Haiqing Chen
Review-Aware Answer Prediction for Product-Related Questions Incorporating Aspects
Qian Yu
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Wai Lam
Neural Ranking Models with Multiple Document Fields
Hamed Zamani
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Bhaskar Mitra
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Xia Song
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Nick Craswell
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Saurabh Tiwary
Discrete Deep Learning for Fast Content-Aware Recommendation
Yan Zhang
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Hongzhi Yin
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Zi Huang
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Xingzhong Du
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Guowu Yang
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Defu Lian
Micro Behaviors: A New Perspective in E-commerce Recommender Systems
Meizi Zhou
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Zhuoye Ding
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Jiliang Tang
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Dawei Yin
Predicting Multi-step Citywide Passenger Demands Using Attention-based Neural Networks
Xian Zhou
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Yanyan Shen
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Yanmin Zhu
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Linpeng Huang
Event Mining over Distributed Text Streams
John Calvo Martinez
Connectivity in Complex Networks: Measures, Inference and Optimization
Chen Chen
Automatic Ranking of Information Retrieval Systems
Maram Hasanain
Mining Twitter for Fine-Grained Political Opinion Polarity Classification, Ideology Detection and Sarcasm Detection
Sandeepa Kannangara
Beyond Who and What: Data Driven Approaches for User Characterization
Aastha Nigam
Engagement and Incentives in Online Community: Observational Data, Prediction Models, and Field Experiments
Jiezhong Qiu
Exploiting Human Mobility Patterns for Point-of-Interest Recommendation
Zijun Yao
Percolator: Scalable Pattern Discovery in Dynamic Graphs
Sutanay Choudhury
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Sumit Purohit
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Peng Lin
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Yinghui Wu
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Lawrence B. Holder
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Khushbu Agarwal
Conversational Semantic Search: Looking Beyond Web Search, Q&A and Dialog Systems
Paul A. Crook
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Alex Marin
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Vipul Agarwal
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Samantha Anderson
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Ohyoung Jang
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Aliasgar Lanewala
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Karthik Tangirala
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Imed Zitouni
Supporting Large-scale Geographical Visualization in a Multi-granularity Way
Mingzhao Li
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Zhifeng Bao
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Farhana Murtaza Choudhury
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Timos Sellis
Collabot: Personalized Group Chat Summarization
Naama Tepper
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Anat Hashavit
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Maya Barnea
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Inbal Ronen
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Lior Leiba
Influence Maximization in Online Social Networks
Çigdem Aslay
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Laks V. S. Lakshmanan
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Wei Lu
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Xiaokui Xiao
Differential Privacy for Information Retrieval
Grace Hui Yang
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Sicong Zhang
Neural Networks for Information Retrieval
Tom Kenter
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Alexey Borisov
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Christophe Van Gysel
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Mostafa Dehghani
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Maarten de Rijke
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Bhaskar Mitra
Tutorial on Metrics of User Engagement: Applications to News, Search and E-Commerce
Mounia Lalmas
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Liangjie Hong
Network Science of Teams: Characterization, Prediction, and Optimization
Liangyue Li
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Hanghang Tong
A Critical Review of Online Social Data: Biases, Methodological Pitfalls, and Ethical Boundaries
Alexandra Olteanu
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Emre Kiciman
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Carlos Castillo
Athlytics: Winning in Sports with Data
Konstantinos Pelechrinis
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Evangelos E. Papalexakis
Mining Knowledge Graphs From Text
Jay Pujara
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Sameer Singh
The 5th International Workshop on Social Web for Disaster Management(SWDM'18): Collective Sensing, Trust, and Resilience in Global Crises
Yu-Ru Lin
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Carlos Castillo
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Jie Yin
First Workshop on Knowledge Base Construction, Mining and Reasoning
Xiang Ren
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Craig A. Knoblock
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William Yang Wang
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Yu Su
HeteroNAM: International Workshop on Heterogeneous Networks Analysis and Mining
Shobeir Fakhraei
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Yanen Li
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Yizhou Sun
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Tim Weninger
LearnIR: WSDM 2018 Workshop on Learning from User Interactions
Rishabh Mehrotra
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Ahmed Hassan Awadallah
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Emine Yilmaz
MIS2: Misinformation and Misbehavior Mining on the Web
Srijan Kumar
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Meng Jiang
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Taeho Jung
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Roger Jie Luo
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Jure Leskovec
Workshop on Two-sided Marketplace Optimization: Search, Pricing, Matching & Growth
Mihajlo Grbovic
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Thanasis Noulas
GTA^ 2018: Workshop on Graph Techniques for Adversarial Activity Analytics
Jiejun Xu
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Hanghang Tong
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Tsai-Ching Lu
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Jingrui He
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Nadya Bliss
IFUP: Workshop on Multi-dimensional Information Fusion for User Modeling and Personalization
Feida Zhu
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Yongfeng Zhang
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Neil Yorke-Smith
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Guibing Guo
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Xu Chen