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Conference on Web Search and Data Mining (2014)


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Seventh ACM International Conference on Web Search and Data Mining, WSDM 2014, New York, NY, USA, February 24-28, 2014

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Seventh ACM International Conference on Web Search and Data Mining, WSDM 2014, New York, NY, USA, February 24-28, 2014

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Data that matter: opportunities in crisis informatics research
Leysia Palen

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Improving the efficiency of multi-site web search engines
Guillem Francès | Xiao Bai | Berkant Barla Cambazoglu | Ricardo Baeza-Yates

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A self-adapting latency/power tradeoff model for replicated search engines
Ana Freire | Craig Macdonald | Nicola Tonellotto | Iadh Ounis | Fidel Cacheda

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Heterogeneous graph-based intent learning with queries, web pages and Wikipedia concepts
Xiang Ren | Yujing Wang | Xiao Yu | Jun Yan | Zheng Chen | Jiawei Han

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Exploiting user disagreement for web search evaluation: an experimental approach
Thomas Demeester | Robin Aly | Djoerd Hiemstra | Dong Nguyen | Dolf Trieschnigg | Chris Develder

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Improving search relevance for short queries in community question answering
Haocheng Wu | Wei Wu | Ming Zhou | Enhong Chen | Lei Duan | Heung-Yeung Shum

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Struggling or exploring?: disambiguating long search sessions
Ahmed Hassan Awadallah | Ryen W. White | Susan T. Dumais | Yi-Min Wang

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Democracy is good for ranking: towards multi-view rank learning and adaptation in web search
Wei Gao | Pei Yang

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Relative confidence sampling for efficient on-line ranker evaluation
Masrour Zoghi | Shimon Whiteson | Maarten de Rijke | Rémi Munos

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Adapting deep RankNet for personalized search
Yang Song | Hongning Wang | Xiaodong He

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Search engine click spam detection based on bipartite graph propagation
Xin Li | Min Zhang | Yiqun Liu | Shaoping Ma | Yijiang Jin | Liyun Ru

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Sampling dilemma: towards effective data sampling for click prediction in sponsored search
Jun Feng | Jiang Bian | Taifeng Wang | Wei Chen | Xiaoyan Zhu | Tie-Yan Liu

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Exploiting contextual factors for click modeling in sponsored search
Dawei Yin | Shike Mei | Bin Cao | Jian-Tao Sun | Brian D. Davison

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Predicting response in mobile advertising with hierarchical importance-aware factorization machine
Richard Jayadi Oentaryo | Ee-Peng Lim | Jia-Wei Low | David Lo | Michael Finegold

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Partner tiering in display advertising
Anand Bhalgat | Nitish Korula | Hennadiy Leontyev | Max Lin | Vahab S. Mirrokni

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Estimating ad group performance in sponsored search
Dawei Yin | Bin Cao | Jian-Tao Sun | Brian D. Davison

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Scalable hierarchical multitask learning algorithms for conversion optimization in display advertising
Amr Ahmed | Abhimanyu Das | Alexander J. Smola

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An efficient framework for online advertising effectiveness measurement and comparison
Pengyuan Wang | Yechao Liu | Marsha Meytlis | Han-Yun Tsao | Jian Yang | Pei Huang

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LASER: a scalable response prediction platform for online advertising
Deepak Agarwal | Bo Long | Jonathan Traupman | Doris Xin | Liang Zhang

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Discovering common motifs in cursor movement data for improving web search
Dmitry Lagun | Mikhail Ageev | Qi Guo | Eugene Agichtein

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Modeling dwell time to predict click-level satisfaction
Youngho Kim | Ahmed Hassan Awadallah | Ryen W. White | Imed Zitouni

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User modeling in search logs via a nonparametric bayesian approach
Hongning Wang | ChengXiang Zhai | Feng Liang | Anlei Dong | Yi Chang

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The last click: why users give up information network navigation
Aju Thalappillil Scaria | Rose Marie Philip | Robert West | Jure Leskovec

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Lessons from the journey: a query log analysis of within-session learning
Carsten Eickhoff | Jaime Teevan | Ryen White | Susan T. Dumais

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Scalable K-Means by ranked retrieval
Andrei Z. Broder | Lluis Garcia Pueyo | Vanja Josifovski | Sergei Vassilvitskii | Srihari Venkatesan

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Taxonomy discovery for personalized recommendation
Yuchen Zhang | Amr Ahmed | Vanja Josifovski | Alexander J. Smola

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Who likes it more?: mining worth-recommending items from long tails by modeling relative preference
Yu-Chieh Ho | Yi-Ting Chiang | Jane Yung-jen Hsu

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On building entity recommender systems using user click log and freebase knowledge
Xiao Yu | Hao Ma | Bo-June Paul Hsu | Jiawei Han

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Improving pairwise learning for item recommendation from implicit feedback
Steffen Rendle | Christoph Freudenthaler

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Personalized entity recommendation: a heterogeneous information network approach
Xiao Yu | Xiang Ren | Yizhou Sun | Quanquan Gu | Bradley Sturt | Urvashi Khandelwal | Brandon Norick | Jiawei Han

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Social collaborative retrieval
Ko-Jen Hsiao | Alex Kulesza | Alfred O. Hero III

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Transferring heterogeneous links across location-based social networks
Jiawei Zhang | Xiangnan Kong | Philip S. Yu

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Customized tour recommendations in urban areas
Aristides Gionis | Theodoros Lappas | Konstantinos Pelechrinis | Evimaria Terzi

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Detecting cohesive and 2-mode communities indirected and undirected networks
Jaewon Yang | Julian J. McAuley | Jure Leskovec

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FENNEL: streaming graph partitioning for massive scale graphs
Charalampos E. Tsourakakis | Christos Gkantsidis | Bozidar Radunovic | Milan Vojnovic

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A few good predictions: selective node labeling in a social network
Gaurish Chaudhari | Vashist Avadhanula | Sunita Sarawagi

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Active learning for networked data based on non-progressive diffusion model
Zhilin Yang | Jie Tang | Bin Xu | Chunxiao Xing

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Learning latent representations of nodes for classifying in heterogeneous social networks
Yann Jacob | Ludovic Denoyer | Patrick Gallinari

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Prediction in a microblog hybrid network using bonacich potential
Shanchan Wu | Louiqa Raschid

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Learning social network embeddings for predicting information diffusion
Simon Bourigault | Cédric Lagnier | Sylvain Lamprier | Ludovic Denoyer | Patrick Gallinari

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Modeling opinion dynamics in social networks
Abhimanyu Das | Sreenivas Gollapudi | Kamesh Munagala

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Fast approximation of betweenness centrality through sampling
Matteo Riondato | Evgenios M. Kornaropoulos

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Effective co-betweenness centrality computation
Mostafa Haghir Chehreghani

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Chinese-English mixed text normalization
Qi Zhang | Huan Chen | Xuanjing Huang

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Sentiment analysis on evolving social streams: how self-report imbalances can help
Pedro Henrique Calais Guerra | Wagner Meira Jr. | Claire Cardie

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Entity linking at the tail: sparse signals, unknown entities, and phrase models
Yuzhe Jin | Emre Kiciman | Kuansan Wang | Ricky Loynd

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Latent dirichlet allocation based diversified retrieval for e-commerce search
Jun Yu | Sunil Mohan | Duangmanee Putthividhya | Weng-Keen Wong

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Supervised N-gram topic model
Noriaki Kawamae

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Going beyond Corr-LDA for detecting specific comments on news & blogs
Mrinal Kanti Das | Trapit Bansal | Chiranjib Bhattacharyya

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Nonparametric bayesian upstream supervised multi-modal topic models
Renjie Liao | Jun Zhu | Zengchang Qin

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Spatial compactness meets topical consistency: jointly modeling links and content for community detection
Mrinmaya Sachan | Avinava Dubey | Shashank Srivastava | Eric P. Xing | Eduard H. Hovy

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Scalable topic-specific influence analysis on microblogs
Bin Bi | Yuanyuan Tian | Yannis Sismanis | Andrey Balmin | Junghoo Cho

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WebChild: harvesting and organizing commonsense knowledge from the web
Niket Tandon | Gerard de Melo | Fabian M. Suchanek | Gerhard Weikum

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Using linked data to mine RDF from wikipedia's tables
Emir Muñoz | Aidan Hogan | Alessandra Mileo

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Knowledge-based graph document modeling
Michael Schuhmacher | Simone Paolo Ponzetto

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Trust, but verify: predicting contribution quality for knowledge base construction and curation
Chun How Tan | Eugene Agichtein | Panos Ipeirotis | Evgeniy Gabrilovich

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Modelling growth of urban crowd-sourced information
Giovanni Quattrone | Afra J. Mashhadi | Daniele Quercia | Chris Smith-Clarke | Licia Capra

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Inferring the impacts of social media on crowdfunding
Chun-Ta Lu | Sihong Xie | Xiangnan Kong | Philip S. Yu

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Understanding and promoting micro-finance activities in Kiva.org
Jaegul Choo | Changhyun Lee | Daniel Lee | Hongyuan Zha | Haesun Park

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Who watches (and shares) what on youtube? and when?: using twitter to understand youtube viewership
Adiya Abisheva | Venkata Rama Kiran Garimella | David García | Ingmar Weber

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Detecting non-gaussian geographical topics in tagged photo collections
Christoph Carl Kling | Jérôme Kunegis | Sergej Sizov | Steffen Staab

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Ranking in heterogeneous social media
Min-Hsuan Tsai | Charu C. Aggarwal | Thomas S. Huang

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Visualizing brand associations from web community photos
Gunhee Kim | Eric P. Xing

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Is a picture really worth a thousand words?: - on the role of images in e-commerce
Wei Di | Neel Sundaresan | Robinson Piramuthu | Anurag Bhardwaj

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Integration of large scale knowledge bases using probabilistic graphical models
Arnab Kumar Dutta

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Strategy in action: analyzing online search behavior bymining search strategies
Chathra Hendahewa

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On discovering non-obvious recommendations: using unexpectedness and neighborhood selection methods in collaborative filtering systems
Panagiotis Adamopoulos

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Exploratory search with semantic transformations using collaborative knowledge bases
Yegin Genc

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Search by multiple examples
Mingzhu Zhu | Yi-fang Brook Wu

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Behavioral data mining and network analysis in massive online games
Muhammad Aurangzeb Ahmad | Jaideep Srivastava

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Exploration and mining of web repositories
Nan Zhang | Gautam Das

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Big graph mining for the web and social media: algorithms, anomaly detection, and applications
U Kang | Leman Akoglu | Duen Horng Chau

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Diversity and novelty in web search, recommender systems and data streams
Rodrygo L. T. Santos | Pablo Castells | Ismail Sengör Altingövde | Fazli Can

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Multilingual probabilistic topic modeling and its applications in web mining and search
Marie-Francine Moens | Ivan Vulic

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Entity linking and retrieval for semantic search
Edgar Meij | Krisztian Balog | Daan Odijk

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Log-based personalization: the 4th web search click data (WSCD) workshop
Pavel Serdyukov | Georges Dupret | Nick Craswell

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Web-scale classification: web classification in the big data era
Ioannis Partalas | Massih-Reza Amini | Ion Androutsopoulos | Thierry Artières | Patrick Gallinari | Éric Gaussier | Georgios Paliouras

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1st workshop on diffusion networks and cascade analytics
Peng Cui | Fei Wang | Hanghang Tong | Manuel Gomez-Rodriguez

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Workshop on large-scale and distributed systems for information retrieval (LSDS-IR 2014)
Ismail Sengör Altingövde | Berkant Barla Cambazoglu | Craig Macdonald | Nicola Tonellotto

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Data design for personalization: current challenges and emerging opportunities
Elizabeth F. Churchill | Atish Das Sarma