Table of Contents

• Nowcasting the macroeconomy with search engine dataHal R. Varian. 1-2 [doi]
• Spatially-aware indexing for image object retrievalRoelof van Zwol, Lluis Garcia Pueyo. 3-12 [doi]
• Auralist: introducing serendipity into music recommendationYuan Cao Zhang, Diarmuid Ó Séaghdha, Daniele Quercia, Tamas Jambor. 13-22 [doi]
• Efficient misbehaving user detection in online video chat servicesHanqiang Cheng, Yu-Li Liang, Xinyu Xing, Xue Liu, Richard Han, Qin Lv, Shivakant Mishra. 23-32 [doi]
• Beyond co-occurrence: discovering and visualizing tag relationships from geo-spatial and temporal similaritiesHaipeng Zhang, Mohammed Korayem, Erkang You, David J. Crandall. 33-42 [doi]
• Object matching in tweets with spatial modelsNilesh N. Dalvi, Ravi Kumar, Bo Pang. 43-52 [doi]
• Beyond 100 million entities: large-scale blocking-based resolution for heterogeneous dataGeorge Papadakis, Ekaterini Ioannou, Claudia Niederée, Themis Palpanas, Wolfgang Nejdl. 53-62 [doi]
• Mining contrastive opinions on political texts using cross-perspective topic modelYi Fang, Luo Si, Naveen Somasundaram, Zhengtao Yu. 63-72 [doi]
• Coupled temporal scoping of relational factsPartha Pratim Talukdar, Derry Tanti Wijaya, Tom Mitchell. 73-82 [doi]
• Overcoming browser cookie churn with clusteringAnirban Dasgupta, Maxim Gurevich, Liang Zhang, Belle L. Tseng, Achint Oommen Thomas. 83-92 [doi]
• mTrust: discerning multi-faceted trust in a connected worldJiliang Tang, Huiji Gao, Huan Liu. 93-102 [doi]
• Of hammers and nails: an empirical comparison of three paradigms for processing large graphsMarc Najork, Dennis Fetterly, Alan Halverson, Krishnaram Kenthapadi, Sreenivas Gollapudi. 103-112 [doi]
• Pairwise cross-domain factor model for heterogeneous transfer rankingBo Long, Yi Chang, Anlei Dong, Jianzhang He. 113-122 [doi]
• Scalable inference in latent variable modelsAmr Ahmed, Mohamed Aly, Joseph Gonzalez, Shravan M. Narayanamurthy, Alexander J. Smola. 123-132 [doi]
• Learning recommender systems with adaptive regularizationSteffen Rendle. 133-142 [doi]
• Collaborative rankingSuhrid Balakrishnan, Sumit Chopra. 143-152 [doi]
• From chatter to headlines: harnessing the real-time web for personalized news recommendationGianmarco De Francisci Morales, Aristides Gionis, Claudio Lucchese. 153-162 [doi]
• ETF: extended tensor factorization model for personalizing prediction of review helpfulnessSamaneh Moghaddam, Mohsen Jamali, Martin Ester. 163-172 [doi]
• Multi-relational matrix factorization using bayesian personalized ranking for social network dataArtus Krohn-Grimberghe, Lucas Drumond, Christoph Freudenthaler, Lars Schmidt-Thieme. 173-182 [doi]
• Comment spam detection by sequence miningRavi Kant, Srinivasan H. Sengamedu, Krishnan S. Kumar. 183-192 [doi]
• Mining slang and urban opinion words and phrases from cQA services: an optimization approachHadi Amiri, Tat-Seng Chua. 193-202 [doi]
• No search result left behind: branching behavior with browser tabsJeff Huang, Thomas Lin, Ryen W. White. 203-212 [doi]
• Characterizing web content, user interests, and search behavior by reading level and topicJin Young Kim, Kevyn Collins-Thompson, Paul N. Bennett, Susan T. Dumais. 213-222 [doi]
• Topical clustering of search resultsUgo Scaiella, Paolo Ferragina, Andrea Marino, Massimiliano Ciaramita. 223-232 [doi]
• To each his own: personalized content selection based on text comprehensibilityChenhao Tan, Evgeniy Gabrilovich, Bo Pang. 233-242 [doi]
• WebSets: extracting sets of entities from the web using unsupervised information extractionBhavana Bharat Dalvi, William W. Cohen, Jamie Callan. 243-252 [doi]
• Selecting actions for resource-bounded information extraction using reinforcement learningPallika H. Kanani, Andrew McCallum. 253-262 [doi]
• Online selection of diverse resultsDebmalya Panigrahi, Atish Das Sarma, Gagan Aggarwal, Andrew Tomkins. 263-272 [doi]
• Overlapping clusters for distributed computationReid Andersen, David F. Gleich, Vahab S. Mirrokni. 273-282 [doi]
• Sponsored search auctions with conflict constraintsPanagiotis Papadimitriou 0002, Hector Garcia-Molina. 283-292 [doi]
• Post-click conversion modeling and analysis for non-guaranteed delivery display advertisingRómer Rosales, Haibin Cheng, Eren Manavoglu. 293-302 [doi]
• Incorporating revisiting behaviors into click modelsDanqing Xu, Yiqun Liu, Min Zhang, Shaoping Ma, Liyun Ru. 303-312 [doi]
• A noise-aware click model for web searchWeizhu Chen, Dong Wang, Yuchen Zhang, Zheng Chen, Adish Singla, Qiang Yang. 313-322 [doi]
• Personalized click model through collaborative filteringSi Shen, Botao Hu, Weizhu Chen, Qiang Yang. 323-332 [doi]
• Fair and balanced: learning to present news storiesAmr Ahmed, Choon Hui Teo, S. V. N. Vishwanathan, Alex J. Smola. 333-342 [doi]
• Extracting search-focused key n-grams for relevance ranking in web searchChen Wang, Keping Bi, Yunhua Hu, Hang Li, Guihong Cao. 343-352 [doi]
• Query suggestion by constructing term-transition graphsYang Song, Dengyong Zhou, Li-wei He. 353-362 [doi]
• Language models for keyword search over data graphsYosi Mass, Yehoshua Sagiv. 363-372 [doi]
• Large-scale analysis of individual and task differences in search result page examination strategiesGeorg Buscher, Ryen W. White, Susan T. Dumais, Jeff Huang. 373-382 [doi]
• Sequence clustering and labeling for unsupervised query intent discoveryJackie Chi Kit Cheung, Xiao Li. 383-392 [doi]
• IR system evaluation using nugget-based test collectionsVirgiliu Pavlu, Shahzad Rajput, Peter B. Golbus, Javed A. Aslam. 393-402 [doi]
• Tapping into knowledge base for concept feedback: leveraging conceptnet to improve search results for difficult queriesAlexander Kotov, ChengXiang Zhai. 403-412 [doi]
• Domain bias in web searchSamuel Ieong, Nina Mishra, Eldar Sadikov, Li Zhang. 413-422 [doi]
• Optimized top-k processing with global page scores on block-max indexesDongdong Shan, Shuai Ding, Jing He, Hongfei Yan, Xiaoming Li. 423-432 [doi]
• Probabilistic models for personalizing web searchDavid Sontag, Kevyn Collins-Thompson, Paul N. Bennett, Ryen W. White, Susan T. Dumais, Bodo Billerbeck. 433-442 [doi]
• Effective query formulation with multiple information sourcesMichael Bendersky, Donald Metzler, W. Bruce Croft. 443-452 [doi]
• Learning to rank with multi-aspect relevance for vertical searchChangsung Kang, Xuanhui Wang, Yi Chang, Belle L. Tseng. 453-462 [doi]
• Beyond ten blue links: enabling user click modeling in federated web searchDanqi Chen, Weizhu Chen, Haixun Wang, Zheng Chen, Qiang Yang. 463-472 [doi]
• Finding the right consumer: optimizing for conversion in display advertising campaignsYandong Liu, Sandeep Pandey, Deepak Agarwal, Vanja Josifovski. 473-482 [doi]
• Fast top-k retrieval for model based recommendationDeepak Agarwal, Maxim Gurevich. 483-492 [doi]
• Relational click prediction for sponsored searchChenyan Xiong, Taifeng Wang, Wenkui Ding, Yidong Shen, Tie-Yan Liu. 493-502 [doi]
• "I loan because...": understanding motivations for pro-social lendingYang Liu, Roy Chen, Yan Chen, Qiaozhu Mei, Suzy Salib. 503-512 [doi]
• Correlating financial time series with micro-blogging activityEduardo J. Ruiz, Vagelis Hristidis, Carlos Castillo, Aristides Gionis, Alejandro Jaimes. 513-522 [doi]
• Harmony and dissonance: organizing the people's voices on political controversiesRawia Awadallah, Maya Ramanath, Gerhard Weikum. 523-532 [doi]
• Identifying content for planned events across social media sitesHila Becker, Dan Iter, Mor Naaman, Luis Gravano. 533-542 [doi]
• Daily deals: prediction, social diffusion, and reputational ramificationsJohn W. Byers, Michael Mitzenmacher, Georgios Zervas. 543-552 [doi]
• On clustering heterogeneous social media objects with outlier linksGuo-Jun Qi, Charu C. Aggarwal, Thomas S. Huang. 553-562 [doi]
• Adding semantics to microblog postsEdgar Meij, Wouter Weerkamp, Maarten de Rijke. 563-572 [doi]
• Exploring social influence via posterior effect of word-of-mouth recommendationsJunming Huang, Xueqi Cheng, Huawei Shen, Tao Zhou, Xiaolong Jin. 573-582 [doi]
• Find me opinion sources in blogosphere: a unified framework for opinionated blog feed retrievalXueke Xu, Songbo Tan, Yue Liu, Xueqi Cheng, Zheng Lin, Jiafeng Guo. 583-592 [doi]
• Understanding cyclic trends in social choicesAnish Das Sarma, Sreenivas Gollapudi, Rina Panigrahy, Li Zhang. 593-602 [doi]
• Maximizing product adoption in social networksSmriti Bhagat, Amit Goyal 0002, Laks V. S. Lakshmanan. 603-612 [doi]
• Answers, not links: extracting tips from yahoo! answers to address how-to web queriesIngmar Weber, Antti Ukkonen, Aristides Gionis. 613-622 [doi]
• A straw shows which way the wind blows: ranking potentially popular items from early votesPeifeng Yin, Ping Luo, Min Wang, Wang-Chien Lee. 623-632 [doi]
• A large-scale sentiment analysis for Yahoo! answersOnur Kucuktunc, Berkant Barla Cambazoglu, Ingmar Weber, Hakan Ferhatosmanoglu. 633-642 [doi]
• What's in a hashtag?: content based prediction of the spread of ideas in microblogging communitiesOren Tsur, Ari Rappoport. 643-652 [doi]
• Tips, dones and todos: uncovering user profiles in foursquareMarisa A. Vasconcelos, Saulo M. R. Ricci, Jussara M. Almeida, Fabrício Benevenuto, Virgílio A. F. Almeida. 653-662 [doi]
• When will it happen?: relationship prediction in heterogeneous information networksYizhou Sun, Jiawei Han, Charu C. Aggarwal, Nitesh V. Chawla. 663-672 [doi]
• The life and death of online groups: predicting group growth and longevitySanjay Ram Kairam, Dan J. Wang, Jure Leskovec. 673-682 [doi]
• Evaluating search in personal social media collectionsChia-Jung Lee, W. Bruce Croft, Jinyoung Kim. 683-692 [doi]
• Learning evolving and emerging topics in social media: a dynamic nmf approach with temporal regularizationAnkan Saha, Vikas Sindhwani. 693-702 [doi]
• Effects of user similarity in social mediaAshton Anderson, Daniel P. Huttenlocher, Jon M. Kleinberg, Jure Leskovec. 703-712 [doi]
• How user behavior is related to social affinityRina Panigrahy, Marc Najork, Yinglian Xie. 713-722 [doi]
• Finding your friends and following them to where you areAdam Sadilek, Henry A. Kautz, Jeffrey P. Bigham. 723-732 [doi]
• How to win friends and influence people, truthfully: influence maximization mechanisms for social networksYaron Singer. 733-742 [doi]
• Inferring social ties across heterogenous networksJie Tang, Tiancheng Lou, Jon M. Kleinberg. 743-752 [doi]
• The secret life of social linksHilary Mason. 753-754 [doi]
• Exploration and discovery of user-generated content in large information spacesLuca Chiarandini. 755-756 [doi]
• Computational advertising: leveraging user interaction & contextual factors for improved ad relevance & targetingKushal S. Dave. 757-758 [doi]
• The early bird gets the buzz: detecting anomalies and emerging trends in information networksBrian Thompson. 759-760 [doi]
• Characterizing and harnessing peer-production of information in social tagging systemsElizeu Santos-Neto. 761-762 [doi]
• Mining, searching and exploiting collaboratively generated content on the webEugene Agichtein, Evgeniy Gabrilovich. 763-764 [doi]
• Collaborative information seeking: understanding users, systems, and contentChirag Shah. 765-766 [doi]
• Machine learning for query-document matching in searchHang Li, Jun Xu 0001. 767-768 [doi]
• 2nd international workshop on diversity in document retrieval (DDR 2012)Craig Macdonald, Jun Wang 0012, Charles L. A. Clarke. 769-770 [doi]
• WSCD 2012: workshop on web search click data 2012Pavel Serdyukov, Nick Craswell, Georges Dupret. 771-772 [doi]