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ORCID7th WSDM 2014: New York, NY, USA
- Ben Carterette, Fernando Diaz, Carlos Castillo, Donald Metzler:
Seventh ACM International Conference on Web Search and Data Mining, WSDM 2014, New York, NY, USA, February 24-28, 2014. ACM 2014, ISBN 978-1-4503-2351-2
Keynote address
- Leysia Palen:
Data that matter: opportunities in crisis informatics research. 1-2
Web search
- Guillem Francès
, Xiao Bai, Berkant Barla Cambazoglu, Ricardo Baeza-Yates:
Improving the efficiency of multi-site web search engines. 3-12 - Ana Freire, Craig Macdonald, Nicola Tonellotto, Iadh Ounis, Fidel Cacheda:
A self-adapting latency/power tradeoff model for replicated search engines. 13-22 - Xiang Ren, Yujing Wang, Xiao Yu, Jun Yan, Zheng Chen, Jiawei Han:
Heterogeneous graph-based intent learning with queries, web pages and Wikipedia concepts. 23-32 - Thomas Demeester, Robin Aly, Djoerd Hiemstra, Dong Nguyen, Dolf Trieschnigg, Chris Develder:
Exploiting user disagreement for web search evaluation: an experimental approach. 33-42 - Haocheng Wu, Wei Wu, Ming Zhou, Enhong Chen, Lei Duan, Heung-Yeung Shum:
Improving search relevance for short queries in community question answering. 43-52 - Ahmed Hassan Awadallah, Ryen W. White, Susan T. Dumais, Yi-Min Wang:
Struggling or exploring?: disambiguating long search sessions. 53-62 - Wei Gao, Pei Yang:
Democracy is good for ranking: towards multi-view rank learning and adaptation in web search. 63-72
Web Search and advertising
- Masrour Zoghi, Shimon Whiteson, Maarten de Rijke, Rémi Munos:
Relative confidence sampling for efficient on-line ranker evaluation. 73-82 - Yang Song, Hongning Wang, Xiaodong He:
Adapting deep RankNet for personalized search. 83-92 - Xin Li, Min Zhang, Yiqun Liu, Shaoping Ma, Yijiang Jin, Liyun Ru:
Search engine click spam detection based on bipartite graph propagation. 93-102 - Jun Feng, Jiang Bian, Taifeng Wang, Wei Chen, Xiaoyan Zhu, Tie-Yan Liu:
Sampling dilemma: towards effective data sampling for click prediction in sponsored search. 103-112 - Dawei Yin, Shike Mei, Bin Cao, Jian-Tao Sun, Brian D. Davison:
Exploiting contextual factors for click modeling in sponsored search. 113-122 - Richard Jayadi Oentaryo, Ee-Peng Lim, Jia-Wei Low, David Lo, Michael Finegold:
Predicting response in mobile advertising with hierarchical importance-aware factorization machine. 123-132 - Anand Bhalgat, Nitish Korula, Hennadiy Leontyev, Max Lin, Vahab S. Mirrokni:
Partner tiering in display advertising. 133-142
Advertising
- Dawei Yin, Bin Cao, Jian-Tao Sun, Brian D. Davison:
Estimating ad group performance in sponsored search. 143-152 - Amr Ahmed, Abhimanyu Das, Alexander J. Smola:
Scalable hierarchical multitask learning algorithms for conversion optimization in display advertising. 153-162 - Pengyuan Wang, Yechao Liu, Marsha Meytlis, Han-Yun Tsao, Jian Yang, Pei Huang:
An efficient framework for online advertising effectiveness measurement and comparison. 163-172 - Deepak Agarwal, Bo Long, Jonathan Traupman, Doris Xin, Liang Zhang:
LASER: a scalable response prediction platform for online advertising. 173-182
Log analysis
- Dmitry Lagun, Mikhail Ageev, Qi Guo, Eugene Agichtein:
Discovering common motifs in cursor movement data for improving web search. 183-192 - Youngho Kim, Ahmed Hassan Awadallah, Ryen W. White, Imed Zitouni:
Modeling dwell time to predict click-level satisfaction. 193-202 - Hongning Wang, ChengXiang Zhai, Feng Liang, Anlei Dong, Yi Chang:
User modeling in search logs via a nonparametric bayesian approach. 203-212 - Aju Thalappillil Scaria, Rose Marie Philip, Robert West, Jure Leskovec:
The last click: why users give up information network navigation. 213-222 - Carsten Eickhoff, Jaime Teevan, Ryen White, Susan T. Dumais:
Lessons from the journey: a query log analysis of within-session learning. 223-232 - Andrei Z. Broder, Lluis Garcia Pueyo, Vanja Josifovski, Sergei Vassilvitskii, Srihari Venkatesan:
Scalable K-Means by ranked retrieval. 233-242
Recommender systems
- Yuchen Zhang, Amr Ahmed, Vanja Josifovski, Alexander J. Smola:
Taxonomy discovery for personalized recommendation. 243-252 - Yu-Chieh Ho, Yi-Ting Chiang, Jane Yung-jen Hsu:
Who likes it more?: mining worth-recommending items from long tails by modeling relative preference. 253-262 - Xiao Yu, Hao Ma, Bo-June Paul Hsu, Jiawei Han:
On building entity recommender systems using user click log and freebase knowledge. 263-272
Recommender systems and networks
- Steffen Rendle, Christoph Freudenthaler:
Improving pairwise learning for item recommendation from implicit feedback. 273-282 - Xiao Yu, Xiang Ren, Yizhou Sun, Quanquan Gu, Bradley Sturt, Urvashi Khandelwal, Brandon Norick, Jiawei Han:
Personalized entity recommendation: a heterogeneous information network approach. 283-292 - Ko-Jen Hsiao, Alex Kulesza, Alfred O. Hero III:
Social collaborative retrieval. 293-302 - Jiawei Zhang, Xiangnan Kong, Philip S. Yu:
Transferring heterogeneous links across location-based social networks. 303-312 - Aristides Gionis, Theodoros Lappas, Konstantinos Pelechrinis, Evimaria Terzi:
Customized tour recommendations in urban areas. 313-322
Networks: communities and labeling
- Jaewon Yang, Julian J. McAuley, Jure Leskovec:
Detecting cohesive and 2-mode communities indirected and undirected networks. 323-332 - Charalampos E. Tsourakakis, Christos Gkantsidis, Bozidar Radunovic, Milan Vojnovic:
FENNEL: streaming graph partitioning for massive scale graphs. 333-342 - Gaurish Chaudhari, Vashist Avadhanula, Sunita Sarawagi:
A few good predictions: selective node labeling in a social network. 353-362 - Zhilin Yang, Jie Tang, Bin Xu, Chunxiao Xing:
Active learning for networked data based on non-progressive diffusion model. 363-372 - Yann Jacob, Ludovic Denoyer, Patrick Gallinari:
Learning latent representations of nodes for classifying in heterogeneous social networks. 373-382
Networks: centrality and influence
- Shanchan Wu, Louiqa Raschid:
Prediction in a microblog hybrid network using bonacich potential. 383-392 - Simon Bourigault, Cédric Lagnier, Sylvain Lamprier, Ludovic Denoyer, Patrick Gallinari:
Learning social network embeddings for predicting information diffusion. 393-402 - Abhimanyu Das, Sreenivas Gollapudi, Kamesh Munagala:
Modeling opinion dynamics in social networks. 403-412 - Matteo Riondato, Evgenios M. Kornaropoulos:
Fast approximation of betweenness centrality through sampling. 413-422 - Mostafa Haghir Chehreghani:
Effective co-betweenness centrality computation. 423-432
Natural language processing; topic models
- Qi Zhang, Huan Chen, Xuanjing Huang:
Chinese-English mixed text normalization. 433-442 - Pedro Henrique Calais Guerra, Wagner Meira Jr., Claire Cardie:
Sentiment analysis on evolving social streams: how self-report imbalances can help. 443-452 - Yuzhe Jin, Emre Kiciman, Kuansan Wang, Ricky Loynd:
Entity linking at the tail: sparse signals, unknown entities, and phrase models. 453-462 - Jun Yu, Sunil Mohan, Duangmanee Putthividhya, Weng-Keen Wong:
Latent dirichlet allocation based diversified retrieval for e-commerce search. 463-472 - Noriaki Kawamae:
Supervised N-gram topic model. 473-482 - Mrinal Kanti Das, Trapit Bansal, Chiranjib Bhattacharyya:
Going beyond Corr-LDA for detecting specific comments on news & blogs. 483-492 - Renjie Liao, Jun Zhu, Zengchang Qin:
Nonparametric bayesian upstream supervised multi-modal topic models. 493-502
Topic models; linked data
- Mrinmaya Sachan, Avinava Dubey, Shashank Srivastava, Eric P. Xing, Eduard H. Hovy:
Spatial compactness meets topical consistency: jointly modeling links and content for community detection. 503-512 - Bin Bi, Yuanyuan Tian, Yannis Sismanis, Andrey Balmin, Junghoo Cho:
Scalable topic-specific influence analysis on microblogs. 513-522 - Niket Tandon, Gerard de Melo, Fabian M. Suchanek, Gerhard Weikum:
WebChild: harvesting and organizing commonsense knowledge from the web. 523-532 - Emir Muñoz, Aidan Hogan, Alessandra Mileo:
Using linked data to mine RDF from wikipedia's tables. 533-542 - Michael Schuhmacher, Simone Paolo Ponzetto:
Knowledge-based graph document modeling. 543-552 - Chun How Tan, Eugene Agichtein, Panos Ipeirotis, Evgeniy Gabrilovich:
Trust, but verify: predicting contribution quality for knowledge base construction and curation. 553-562 - Giovanni Quattrone, Afra J. Mashhadi, Daniele Quercia, Chris Smith-Clarke, Licia Capra:
Modelling growth of urban crowd-sourced information. 563-572
Peer production: data analysis
- Chun-Ta Lu, Sihong Xie, Xiangnan Kong, Philip S. Yu:
Inferring the impacts of social media on crowdfunding. 573-582 - Jaegul Choo, Changhyun Lee, Daniel Lee, Hongyuan Zha, Haesun Park:
Understanding and promoting micro-finance activities in Kiva.org. 583-592 - Adiya Abisheva, Venkata Rama Kiran Garimella, David García, Ingmar Weber:
Who watches (and shares) what on youtube? and when?: using twitter to understand youtube viewership. 593-602 - Christoph Carl Kling, Jérôme Kunegis, Sergej Sizov, Steffen Staab:
Detecting non-gaussian geographical topics in tagged photo collections. 603-612 - Min-Hsuan Tsai, Charu C. Aggarwal, Thomas S. Huang:
Ranking in heterogeneous social media. 613-622 - Gunhee Kim, Eric P. Xing:
Visualizing brand associations from web community photos. 623-632 - Wei Di, Neel Sundaresan, Robinson Piramuthu, Anurag Bhardwaj:
Is a picture really worth a thousand words?: - on the role of images in e-commerce. 633-642
Doctoral consortium
- Arnab Kumar Dutta:
Integration of large scale knowledge bases using probabilistic graphical models. 643-648 - Chathra Hendahewa:
Strategy in action: analyzing online search behavior bymining search strategies. 649-654 - Panagiotis Adamopoulos:
On discovering non-obvious recommendations: using unexpectedness and neighborhood selection methods in collaborative filtering systems. 655-660 - Yegin Genc:
Exploratory search with semantic transformations using collaborative knowledge bases. 661-666 - Mingzhu Zhu, Yi-fang Brook Wu:
Search by multiple examples. 667-672
Tutorials
- Muhammad Aurangzeb Ahmad, Jaideep Srivastava:
Behavioral data mining and network analysis in massive online games. 673-674 - Nan Zhang, Gautam Das:
Exploration and mining of web repositories. 675-676 - U Kang, Leman Akoglu, Duen Horng Chau:
Big graph mining for the web and social media: algorithms, anomaly detection, and applications. 677-678 - Rodrygo L. T. Santos, Pablo Castells, Ismail Sengör Altingövde, Fazli Can:
Diversity and novelty in web search, recommender systems and data streams. 679-680 - Marie-Francine Moens, Ivan Vulic:
Multilingual probabilistic topic modeling and its applications in web mining and search. 681-682 - Edgar Meij, Krisztian Balog, Daan Odijk:
Entity linking and retrieval for semantic search. 683-684
Workshop summaries
- Pavel Serdyukov, Georges Dupret, Nick Craswell:
Log-based personalization: the 4th web search click data (WSCD) workshop. 685-686 - Ioannis Partalas, Massih-Reza Amini, Ion Androutsopoulos, Thierry Artières, Patrick Gallinari, Éric Gaussier, Georgios Paliouras:
Web-scale classification: web classification in the big data era. 687-688 - Peng Cui, Fei Wang, Hanghang Tong, Manuel Gomez-Rodriguez:
1st workshop on diffusion networks and cascade analytics. 689-690 - Ismail Sengör Altingövde, Berkant Barla Cambazoglu, Craig Macdonald, Nicola Tonellotto:
Workshop on large-scale and distributed systems for information retrieval (LSDS-IR 2014). 691-692 - Elizabeth F. Churchill, Atish Das Sarma:
Data design for personalization: current challenges and emerging opportunities. 693-694
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