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Conference on Web Search and Data Mining (2017)


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Proceedings of the Tenth ACM International Conference on Web Search and Data Mining, WSDM 2017, Cambridge, United Kingdom, February 6-10, 2017

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Proceedings of the Tenth ACM International Conference on Web Search and Data Mining, WSDM 2017, Cambridge, United Kingdom, February 6-10, 2017

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Ten Years of Wisdom
Ricardo Baeza-Yates

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Enterprise Employee Training via Project Team Formation
Jiawei Zhang | Philip S. Yu | Yuanhua Lv

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iPhone's Digital Marketplace: Characterizing the Big Spenders
Farshad Kooti | Mihajlo Grbovic | Luca Maria Aiello | Eric Bax | Kristina Lerman

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Raising Graphs From Randomness to Reveal Information Networks
Róbert Pálovics | András A. Benczúr

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How Smart Does Your Profile Image Look?: Estimating Intelligence from Social Network Profile Images
Xingjie Wei | David Stillwell

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Anticipating Information Needs Based on Check-in Activity
Jan R. Benetka | Krisztian Balog | Kjetil Nørvåg

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RedQueen: An Online Algorithm for Smart Broadcasting in Social Networks
Ali Zarezade | Utkarsh Upadhyay | Hamid R. Rabiee | Manuel Gomez-Rodriguez

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Uncovering the Dynamics of Crowdlearning and the Value of Knowledge
Utkarsh Upadhyay | Isabel Valera | Manuel Gomez-Rodriguez

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Leveraging Behavioral Factorization and Prior Knowledge for Community Discovery and Profiling
Mohammad Akbari | Tat-Seng Chua

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Reducing Controversy by Connecting Opposing Views
Kiran Garimella | Gianmarco De Francisci Morales | Aristides Gionis | Michael Mathioudakis

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Detecting and Characterizing Eating-Disorder Communities on Social Media
Tao Wang | Markus Brede | Antonella Ianni | Emmanouil Mentzakis

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The Influence of Early Respondents: Information Cascade Effects in Online Event Scheduling
Daniel M. Romero | Katharina Reinecke | Lionel P. Robert Jr.

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Evolution of Ego-networks in Social Media with Link Recommendations
Luca Maria Aiello | Nicola Barbieri

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Link Prediction with Cardinality Constraint
Jiawei Zhang | Jianhui Chen | Junxing Zhu | Yi Chang | Philip S. Yu

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Learning Parametric Models for Context-Aware Query Auto-Completion via Hawkes Processes
Liangda Li | Hongbo Deng | Jianhui Chen | Yi Chang

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Does Document Relevance Affect the Searcher's Perception of Time?
Cheng Luo | Yiqun Liu | Tetsuya Sakai | Ke Zhou | Fan Zhang | Xue Li | Shaoping Ma

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Generating Illustrative Snippets for Open Data on the Web
Gong Cheng | Cheng Jin | Wentao Ding | Danyun Xu | Yuzhong Qu

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Investigation of User Search Behavior While Facing Heterogeneous Search Services
Xin Li | Yiqun Liu | Rongjie Cai | Shaoping Ma

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Click Through Rate Prediction for Local Search Results
Fidel Cacheda | Nicola Barbieri | Roi Blanco

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Document Retrieval Model Through Semantic Linking
Faezeh Ensan | Ebrahim Bagheri

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A Concise Integer Linear Programming Formulation for Implicit Search Result Diversification
Haitao Yu | Adam Jatowt | Roi Blanco | Hideo Joho | Joemon M. Jose | Long Chen | Fajie Yuan

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A Comparison of Document-at-a-Time and Score-at-a-Time Query Evaluation
Matt Crane | J. Shane Culpepper | Jimmy Lin | Joel M. Mackenzie | Andrew Trotman

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ANNE: Improving Source Code Search using Entity Retrieval Approach
Venkatesh Vinayakarao | Anita Sarma | Rahul Purandare | Shuktika Jain | Saumya Jain

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Partitioning and Segment Organization Strategies for Real-Time Selective Search on Document Streams
Yulu Wang | Jimmy Lin

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Modeling Event Importance for Ranking Daily News Events
Vinay Setty | Abhijit Anand | Arunav Mishra | Avishek Anand

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A Cost Model for Long-Term Compressed Data Retention
Kewen Liao | Alistair Moffat | Matthias Petri | Anthony Wirth

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Neural Models for Full Text Search
Nick Craswell

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Reliable Medical Diagnosis from Crowdsourcing: Discover Trustworthy Answers from Non-Experts
Yaliang Li | Nan Du | Chaochun Liu | Yusheng Xie | Wei Fan | Qi Li | Jing Gao | Huan Sun

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PRED: Periodic Region Detection for Mobility Modeling of Social Media Users
Quan Yuan | Wei Zhang | Chao Zhang | Xinhe Geng | Gao Cong | Jiawei Han

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Applying Space Syntax to Online Mapping Tools
Yandi Li | Nicola Barbieri | Daniele Quercia

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Semantic-aware Query Processing for Activity Trajectories
Huiwen Liu | Jiajie Xu | Kai Zheng | Chengfei Liu | Lan Du | Xian Wu

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Keeping Apace with Progress in Natural Language Processing
Claire Cardie

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Task-Guided and Path-Augmented Heterogeneous Network Embedding for Author Identification
Ting Chen | Yizhou Sun

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Beyond the Words: Predicting User Personality from Heterogeneous Information
Honghao Wei | Fuzheng Zhang | Nicholas Jing Yuan | Chuan Cao | Hao Fu | Xing Xie | Yong Rui | Wei-Ying Ma

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German Typographers vs. German Grammar: Decomposition of Wikipedia Category Labels into Attribute-Value Pairs
Marius Pasca

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Comparative Document Analysis for Large Text Corpora
Xiang Ren | Yuanhua Lv | Kuansan Wang | Jiawei Han

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Constructing and Embedding Abstract Event Causality Networks from Text Snippets
Sendong Zhao | Quan Wang | Sean Massung | Bing Qin | Ting Liu | Bin Wang | ChengXiang Zhai

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Fun Facts: Automatic Trivia Fact Extraction from Wikipedia
David Tsurel | Dan Pelleg | Ido Guy | Dafna Shahaf

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Related Event Discovery
Cheng Li | Michael Bendersky | Vijay Garg | Sujith Ravi

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Lightweight Multilingual Entity Extraction and Linking
Aasish Pappu | Roi Blanco | Yashar Mehdad | Amanda Stent | Kapil Thadani

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Predicting Completeness in Knowledge Bases
Luis Galárraga | Simon Razniewski | Antoine Amarilli | Fabian M. Suchanek

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Synthesis of Forgiving Data Extractors
Adi Omari | Sharon Shoham | Eran Yahav

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Concept Embedded Convolutional Semantic Model for Question Retrieval
Pengwei Wang | Yong Zhang | Lei Ji | Jun Yan | Lianwen Jin

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Summarizing Answers in Non-Factoid Community Question-Answering
Hongya Song | Zhaochun Ren | Shangsong Liang | Piji Li | Jun Ma | Maarten de Rijke

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Multi-Column Convolutional Neural Networks with Causality-Attention for Why-Question Answering
Jong-Hoon Oh | Kentaro Torisawa | Canasai Kruengkrai | Ryu Iida | Julien Kloetzer

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Joint Deep Modeling of Users and Items Using Reviews for Recommendation
Lei Zheng | Vahid Noroozi | Philip S. Yu

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Multi-Product Utility Maximization for Economic Recommendation
Qi Zhao | Yongfeng Zhang | Yi Zhang | Daniel Friedman

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Groove Radio: A Bayesian Hierarchical Model for Personalized Playlist Generation
Shay Ben-Elazar | Gal Lavee | Noam Koenigstein | Oren Barkan | Hilik Berezin | Ulrich Paquet | Tal Zaccai

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Temporally Factorized Network Modeling for Evolutionary Network Analysis
Wenchao Yu | Charu C. Aggarwal | Wei Wang

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Not Enough Data?: Joint Inferring Multiple Diffusion Networks via Network Generation Priors
Xinran He | Yan Liu

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Online Matrix Completion for Signed Link Prediction
Jing Wang | Jie Shen | Ping Li | Huan Xu

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Social Collaborative Viewpoint Regression with Explainable Recommendations
Zhaochun Ren | Shangsong Liang | Piji Li | Shuaiqiang Wang | Maarten de Rijke

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Recurrent Recommender Networks
Chao-Yuan Wu | Amr Ahmed | Alex Beutel | Alexander J. Smola | How Jing

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Bartering Books to Beers: A Recommender System for Exchange Platforms
Jérémie Rappaz | Maria-Luiza Vladarean | Julian J. McAuley | Michele Catasta

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Neural Survival Recommender
How Jing | Alexander J. Smola

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Directed Edge Recommender System
Ios Kotsogiannis | Elena Zheleva | Ashwin Machanavajjhala

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Machine Learning at Amazon
Ralf Herbrich

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Online Actions with Offline Impact: How Online Social Networks Influence Online and Offline User Behavior
Tim Althoff | Pranav Jindal | Jure Leskovec

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Social Incentive Optimization in Online Social Networks
Guangde Chen | Bee-Chung Chen | Deepak Agarwal

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Counting Graphlets: Space vs Time
Marco Bressan | Flavio Chierichetti | Ravi Kumar | Stefano Leucci | Alessandro Panconesi

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Representation Learning with Pair-wise Constraints for Collaborative Ranking
Fuzhen Zhuang | Dan Luo | Nicholas Jing Yuan | Xing Xie | Qing He

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Statistical Spoken Dialogue Systems and the Challenges for Machine Learning
Steve J. Young

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Primum Non Nocere: Healthcare In The Digital Age
Anjali Joshi

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Managing Risk of Bidding in Display Advertising
Haifeng Zhang | Weinan Zhang | Yifei Rong | Kan Ren | Wenxin Li | Jun Wang

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Predicting Online Purchase Conversion for Retargeting
Jinyoung Yeo | Sungchul Kim | Eunyee Koh | Seung-won Hwang | Nedim Lipka

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Motifs in Temporal Networks
Ashwin Paranjape | Austin R. Benson | Jure Leskovec

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Modeling Air Travel Choice Behavior with Mixed Kernel Density Estimations
Zhenni Feng | Yanmin Zhu | Jian Cao

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Location Influence in Location-based Social Networks
Muhammad Aamir Saleem | Rohit Kumar | Toon Calders | Xike Xie | Torben Bach Pedersen

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Probabilistic Social Sequential Model for Tour Recommendation
Vineeth Rakesh | Niranjan Jadhav | Alexander Kotov | Chandan K. Reddy

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Trustworthy Analysis of Online A/B Tests: Pitfalls, challenges and solutions
Alex Deng | Jiannan Lu | Jonthan Litz

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Learning Sensitive Combinations of A/B Test Metrics
Eugene Kharitonov | Alexey Drutsa | Pavel Serdyukov

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Real-Time Bidding by Reinforcement Learning in Display Advertising
Han Cai | Kan Ren | Weinan Zhang | Kleanthis Malialis | Jun Wang | Yong Yu | Defeng Guo

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Deep Memory Networks for Attitude Identification
Cheng Li | Xiaoxiao Guo | Qiaozhu Mei

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D-Cube: Dense-Block Detection in Terabyte-Scale Tensors
Kijung Shin | Bryan Hooi | Jisu Kim | Christos Faloutsos

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Modeling Document Networks with Tree-Averaged Copula Regularization
Yuan He | Cheng Wang | Changjun Jiang

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Multilinear Factorization Machines for Multi-Task Multi-View Learning
Chun-Ta Lu | Lifang He | Weixiang Shao | Bokai Cao | Philip S. Yu

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Algorithms for Active Classifier Selection: Maximizing Recall with Precision Constraints
Paul N. Bennett | David Maxwell Chickering | Christopher Meek | Xiaojin Zhu

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DiSMEC: Distributed Sparse Machines for Extreme Multi-label Classification
Rohit Babbar | Bernhard Schölkopf

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Label Informed Attributed Network Embedding
Xiao Huang | Jundong Li | Xia Hu

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Embedding of Embedding (EOE): Joint Embedding for Coupled Heterogeneous Networks
Linchuan Xu | Xiaokai Wei | Jiannong Cao | Philip S. Yu

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Random Semantic Tensor Ensemble for Scalable Knowledge Graph Link Prediction
Yi Tay | Anh Tuan Luu | Siu Cheung Hui | Falk Brauer

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S-HOT: Scalable High-Order Tucker Decomposition
Jinoh Oh | Kijung Shin | Evangelos E. Papalexakis | Christos Faloutsos | Hwanjo Yu

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Unsupervised Ranking using Graph Structures and Node Attributes
Chin-Chi Hsu | Yi-An Lai | Wen-Hao Chen | Ming-Han Feng | Shou-De Lin

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Unbiased Learning-to-Rank with Biased Feedback
Thorsten Joachims | Adith Swaminathan | Tobias Schnabel

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Learning from User Interactions in Personal Search via Attribute Parameterization
Michael Bendersky | Xuanhui Wang | Donald Metzler | Marc Najork

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Delving Deep into Personal Photo and Video Search
Lu Jiang | Yannis Kalantidis | Liangliang Cao | Sachin Farfade | Jiliang Tang | Alexander G. Hauptmann

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Harnessing the Power of Data Science through Research
Andrew Blake

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Neural Text Embeddings for Information Retrieval
Bhaskar Mitra | Nick Craswell

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Utilizing Knowledge Graphs in Text-centricInformation Retrieval
Laura Dietz | Alexander Kotov | Edgar Meij

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Social Media Anomaly Detection: Challenges and Solutions
Yan Liu | Sanjay Chawla

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Workshop on Scholarly Web Mining (SWM 2017)
Robert M. Patton | Thomas E. Potok | Petr Knoth | Drahomira Herrmannova

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Mining Actionable Insights from Social Networksat WSDM 2017
Faezeh Ensan | Zeinab Noorian | Ebrahim Bagheri

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1st International Workshop on Search and Mining Terrorist Online Content & Advances in Data Science for Cyber Security and Risk on the Web
Theodora Tsikrika | Babak Akhgar | Vasilis Katos | Stefanos Vrochidis | Pete Burnap | Matthew L. Williams

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WSDM 2017 Workshop on Mining Online Health Reports: MOHRS 2017
Nigel Collier | Nut Limsopatham | Aron Culotta | Mike Conway | Ingemar J. Cox | Vasileios Lampos

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WSDM Cup 2017: Vandalism Detection and Triple Scoring
Stefan Heindorf | Martin Potthast | Hannah Bast | Björn Buchhold | Elmar Haussmann

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Beyond Query Logs: Recommendation and Evaluation
Matthew Ryan Mitsui

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Recommender Systems: Research Direction
Manoj Reddy Dareddy

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Modeling Source Code to Support Retrieval-Based Applications
Venkatesh Vinayakarao

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Scalable Text Analysis
Zijun Xue

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Quantifying and Bursting the Online Filter Bubble
Kiran Garimella

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New Probabilistic Models for Recommender Systems with Rich Contextual and Content Information
Eliezer de Souza da Silva

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Mining Medical Causality for Diagnosis Assistance
Sendong Zhao

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Adapting Information Retrieval to User Signals via Stochastic Models
Maria Maistro

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Modeling Navigation in Information Networks
Dimitar Dimitrov


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Proceedings of the 1st Workshop on Scholarly Web Mining, SWM@WSDM 2017, Cambridge, United Kingdom, February 10, 2017

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Proceedings of the 1st Workshop on Scholarly Web Mining, SWM@WSDM 2017, Cambridge, United Kingdom, February 10, 2017

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Describing Data Processing Pipelines in Scientific Publications for Big Data Injection
Sepideh Mesbah | Alessandro Bozzon | Christoph Lofi | Geert-Jan Houben

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Scalable Algorithm for Probabilistic Overlapping Community Detection
Kento Nozawa | Kei Wakabayashi

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Effectively identifying users' research interests for scholarly reference management and discovery
Marco Rossetti | Saúl Vargas | Davide Magatti | Benjamin Pettit | Daniel Kershaw | Maya Hristakeva | Kris Jack

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Building recommender systems for scholarly information
Maya Hristakeva | Daniel Kershaw | Marco Rossetti | Petr Knoth | Benjamin Pettit | Saúl Vargas | Kris Jack

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ScholarBase: Towards a Cross-Domain Knowledgebase for Linked Scholarly Data
Mahmoud Elbattah

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Citations and Readership are Poor Indicators of Research Excellence: Introducing TrueImpactDataset, a New Dataset for Validating Research Evaluation Metrics
Drahomira Herrmannova | Robert M. Patton | Petr Knoth | Christopher G. Stahl

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Predicting MeSH Beyond MEDLINE
Adam K. Kehoe | Vetle I. Torvik | Matthew B. Ross | Neil R. Smalheiser

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Linking Mathematical Expressions to Wikipedia
Giovanni Yoko Kristianto | Akiko Aizawa