Conference on Web Search and Data Mining (2014)
Seventh ACM International Conference on Web Search and Data Mining, WSDM 2014, New York, NY, USA, February 24-28, 2014
Data that matter: opportunities in crisis informatics research
Leysia Palen
Improving the efficiency of multi-site web search engines
Guillem Francès
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Xiao Bai
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Berkant Barla Cambazoglu
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Ricardo Baeza-Yates
A self-adapting latency/power tradeoff model for replicated search engines
Ana Freire
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Craig Macdonald
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Nicola Tonellotto
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Iadh Ounis
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Fidel Cacheda
Heterogeneous graph-based intent learning with queries, web pages and Wikipedia concepts
Xiang Ren
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Yujing Wang
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Xiao Yu
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Jun Yan
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Zheng Chen
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Jiawei Han
Exploiting user disagreement for web search evaluation: an experimental approach
Thomas Demeester
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Robin Aly
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Djoerd Hiemstra
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Dong Nguyen
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Dolf Trieschnigg
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Chris Develder
Improving search relevance for short queries in community question answering
Haocheng Wu
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Wei Wu
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Ming Zhou
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Enhong Chen
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Lei Duan
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Heung-Yeung Shum
Struggling or exploring?: disambiguating long search sessions
Ahmed Hassan Awadallah
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Ryen W. White
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Susan T. Dumais
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Yi-Min Wang
Democracy is good for ranking: towards multi-view rank learning and adaptation in web search
Wei Gao
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Pei Yang
Relative confidence sampling for efficient on-line ranker evaluation
Masrour Zoghi
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Shimon Whiteson
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Maarten de Rijke
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Rémi Munos
Adapting deep RankNet for personalized search
Yang Song
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Hongning Wang
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Xiaodong He
Search engine click spam detection based on bipartite graph propagation
Xin Li
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Min Zhang
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Yiqun Liu
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Shaoping Ma
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Yijiang Jin
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Liyun Ru
Sampling dilemma: towards effective data sampling for click prediction in sponsored search
Jun Feng
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Jiang Bian
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Taifeng Wang
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Wei Chen
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Xiaoyan Zhu
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Tie-Yan Liu
Exploiting contextual factors for click modeling in sponsored search
Dawei Yin
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Shike Mei
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Bin Cao
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Jian-Tao Sun
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Brian D. Davison
Predicting response in mobile advertising with hierarchical importance-aware factorization machine
Richard Jayadi Oentaryo
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Ee-Peng Lim
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Jia-Wei Low
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David Lo
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Michael Finegold
Partner tiering in display advertising
Anand Bhalgat
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Nitish Korula
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Hennadiy Leontyev
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Max Lin
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Vahab S. Mirrokni
Estimating ad group performance in sponsored search
Dawei Yin
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Bin Cao
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Jian-Tao Sun
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Brian D. Davison
Scalable hierarchical multitask learning algorithms for conversion optimization in display advertising
Amr Ahmed
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Abhimanyu Das
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Alexander J. Smola
An efficient framework for online advertising effectiveness measurement and comparison
Pengyuan Wang
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Yechao Liu
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Marsha Meytlis
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Han-Yun Tsao
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Jian Yang
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Pei Huang
LASER: a scalable response prediction platform for online advertising
Deepak Agarwal
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Bo Long
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Jonathan Traupman
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Doris Xin
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Liang Zhang
Discovering common motifs in cursor movement data for improving web search
Dmitry Lagun
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Mikhail Ageev
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Qi Guo
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Eugene Agichtein
Modeling dwell time to predict click-level satisfaction
Youngho Kim
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Ahmed Hassan Awadallah
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Ryen W. White
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Imed Zitouni
User modeling in search logs via a nonparametric bayesian approach
Hongning Wang
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ChengXiang Zhai
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Feng Liang
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Anlei Dong
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Yi Chang
The last click: why users give up information network navigation
Aju Thalappillil Scaria
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Rose Marie Philip
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Robert West
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Jure Leskovec
Lessons from the journey: a query log analysis of within-session learning
Carsten Eickhoff
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Jaime Teevan
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Ryen White
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Susan T. Dumais
Scalable K-Means by ranked retrieval
Andrei Z. Broder
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Lluis Garcia Pueyo
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Vanja Josifovski
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Sergei Vassilvitskii
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Srihari Venkatesan
Taxonomy discovery for personalized recommendation
Yuchen Zhang
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Amr Ahmed
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Vanja Josifovski
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Alexander J. Smola
Who likes it more?: mining worth-recommending items from long tails by modeling relative preference
Yu-Chieh Ho
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Yi-Ting Chiang
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Jane Yung-jen Hsu
On building entity recommender systems using user click log and freebase knowledge
Xiao Yu
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Hao Ma
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Bo-June Paul Hsu
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Jiawei Han
Improving pairwise learning for item recommendation from implicit feedback
Steffen Rendle
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Christoph Freudenthaler
Personalized entity recommendation: a heterogeneous information network approach
Xiao Yu
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Xiang Ren
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Yizhou Sun
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Quanquan Gu
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Bradley Sturt
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Urvashi Khandelwal
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Brandon Norick
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Jiawei Han
Social collaborative retrieval
Ko-Jen Hsiao
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Alex Kulesza
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Alfred O. Hero III
Transferring heterogeneous links across location-based social networks
Jiawei Zhang
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Xiangnan Kong
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Philip S. Yu
Customized tour recommendations in urban areas
Aristides Gionis
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Theodoros Lappas
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Konstantinos Pelechrinis
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Evimaria Terzi
Detecting cohesive and 2-mode communities indirected and undirected networks
Jaewon Yang
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Julian J. McAuley
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Jure Leskovec
FENNEL: streaming graph partitioning for massive scale graphs
Charalampos E. Tsourakakis
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Christos Gkantsidis
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Bozidar Radunovic
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Milan Vojnovic
A few good predictions: selective node labeling in a social network
Gaurish Chaudhari
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Vashist Avadhanula
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Sunita Sarawagi
Active learning for networked data based on non-progressive diffusion model
Zhilin Yang
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Jie Tang
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Bin Xu
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Chunxiao Xing
Learning latent representations of nodes for classifying in heterogeneous social networks
Yann Jacob
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Ludovic Denoyer
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Patrick Gallinari
Prediction in a microblog hybrid network using bonacich potential
Shanchan Wu
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Louiqa Raschid
Learning social network embeddings for predicting information diffusion
Simon Bourigault
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Cédric Lagnier
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Sylvain Lamprier
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Ludovic Denoyer
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Patrick Gallinari
Modeling opinion dynamics in social networks
Abhimanyu Das
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Sreenivas Gollapudi
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Kamesh Munagala
Fast approximation of betweenness centrality through sampling
Matteo Riondato
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Evgenios M. Kornaropoulos
Effective co-betweenness centrality computation
Mostafa Haghir Chehreghani
Chinese-English mixed text normalization
Qi Zhang
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Huan Chen
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Xuanjing Huang
Sentiment analysis on evolving social streams: how self-report imbalances can help
Pedro Henrique Calais Guerra
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Wagner Meira Jr.
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Claire Cardie
Entity linking at the tail: sparse signals, unknown entities, and phrase models
Yuzhe Jin
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Emre Kiciman
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Kuansan Wang
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Ricky Loynd
Latent dirichlet allocation based diversified retrieval for e-commerce search
Jun Yu
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Sunil Mohan
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Duangmanee Putthividhya
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Weng-Keen Wong
Supervised N-gram topic model
Noriaki Kawamae
Going beyond Corr-LDA for detecting specific comments on news & blogs
Mrinal Kanti Das
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Trapit Bansal
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Chiranjib Bhattacharyya
Nonparametric bayesian upstream supervised multi-modal topic models
Renjie Liao
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Jun Zhu
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Zengchang Qin
Spatial compactness meets topical consistency: jointly modeling links and content for community detection
Mrinmaya Sachan
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Avinava Dubey
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Shashank Srivastava
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Eric P. Xing
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Eduard H. Hovy
Scalable topic-specific influence analysis on microblogs
Bin Bi
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Yuanyuan Tian
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Yannis Sismanis
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Andrey Balmin
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Junghoo Cho
WebChild: harvesting and organizing commonsense knowledge from the web
Niket Tandon
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Gerard de Melo
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Fabian M. Suchanek
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Gerhard Weikum
Using linked data to mine RDF from wikipedia's tables
Emir Muñoz
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Aidan Hogan
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Alessandra Mileo
Knowledge-based graph document modeling
Michael Schuhmacher
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Simone Paolo Ponzetto
Trust, but verify: predicting contribution quality for knowledge base construction and curation
Chun How Tan
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Eugene Agichtein
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Panos Ipeirotis
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Evgeniy Gabrilovich
Modelling growth of urban crowd-sourced information
Giovanni Quattrone
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Afra J. Mashhadi
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Daniele Quercia
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Chris Smith-Clarke
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Licia Capra
Inferring the impacts of social media on crowdfunding
Chun-Ta Lu
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Sihong Xie
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Xiangnan Kong
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Philip S. Yu
Understanding and promoting micro-finance activities in Kiva.org
Jaegul Choo
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Changhyun Lee
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Daniel Lee
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Hongyuan Zha
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Haesun Park
Who watches (and shares) what on youtube? and when?: using twitter to understand youtube viewership
Adiya Abisheva
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Venkata Rama Kiran Garimella
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David García
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Ingmar Weber
Detecting non-gaussian geographical topics in tagged photo collections
Christoph Carl Kling
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Jérôme Kunegis
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Sergej Sizov
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Steffen Staab
Ranking in heterogeneous social media
Min-Hsuan Tsai
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Charu C. Aggarwal
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Thomas S. Huang
Visualizing brand associations from web community photos
Gunhee Kim
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Eric P. Xing
Is a picture really worth a thousand words?: - on the role of images in e-commerce
Wei Di
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Neel Sundaresan
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Robinson Piramuthu
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Anurag Bhardwaj
Integration of large scale knowledge bases using probabilistic graphical models
Arnab Kumar Dutta
Strategy in action: analyzing online search behavior bymining search strategies
Chathra Hendahewa
On discovering non-obvious recommendations: using unexpectedness and neighborhood selection methods in collaborative filtering systems
Panagiotis Adamopoulos
Exploratory search with semantic transformations using collaborative knowledge bases
Yegin Genc
Search by multiple examples
Mingzhu Zhu
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Yi-fang Brook Wu
Behavioral data mining and network analysis in massive online games
Muhammad Aurangzeb Ahmad
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Jaideep Srivastava
Exploration and mining of web repositories
Nan Zhang
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Gautam Das
Big graph mining for the web and social media: algorithms, anomaly detection, and applications
U Kang
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Leman Akoglu
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Duen Horng Chau
Diversity and novelty in web search, recommender systems and data streams
Rodrygo L. T. Santos
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Pablo Castells
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Ismail Sengör Altingövde
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Fazli Can
Multilingual probabilistic topic modeling and its applications in web mining and search
Marie-Francine Moens
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Ivan Vulic
Entity linking and retrieval for semantic search
Edgar Meij
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Krisztian Balog
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Daan Odijk
Log-based personalization: the 4th web search click data (WSCD) workshop
Pavel Serdyukov
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Georges Dupret
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Nick Craswell
Web-scale classification: web classification in the big data era
Ioannis Partalas
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Massih-Reza Amini
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Ion Androutsopoulos
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Thierry Artières
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Patrick Gallinari
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Éric Gaussier
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Georgios Paliouras
1st workshop on diffusion networks and cascade analytics
Peng Cui
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Fei Wang
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Hanghang Tong
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Manuel Gomez-Rodriguez
Workshop on large-scale and distributed systems for information retrieval (LSDS-IR 2014)
Ismail Sengör Altingövde
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Berkant Barla Cambazoglu
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Craig Macdonald
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Nicola Tonellotto
Data design for personalization: current challenges and emerging opportunities
Elizabeth F. Churchill
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Atish Das Sarma