Table of Contents

• Data that matter: opportunities in crisis informatics researchLeysia Palen. 1-2 [doi]
• Improving the efficiency of multi-site web search enginesGuillem Francès, Xiao Bai, Berkant Barla Cambazoglu, Ricardo A. Baeza-Yates. 3-12 [doi]
• A self-adapting latency/power tradeoff model for replicated search enginesAna Freire, Craig Macdonald, Nicola Tonellotto, Iadh Ounis, Fidel Cacheda. 13-22 [doi]
• Heterogeneous graph-based intent learning with queries, web pages and Wikipedia conceptsXiang Ren, Yujing Wang, Xiao Yu, Jun Yan, Zheng Chen, Jiawei Han. 23-32 [doi]
• Exploiting user disagreement for web search evaluation: an experimental approachThomas Demeester, Robin Aly, Djoerd Hiemstra, Dong Nguyen, Dolf Trieschnigg, Chris Develder. 33-42 [doi]
• Improving search relevance for short queries in community question answeringHaocheng Wu, Wei Wu, Ming Zhou, Enhong Chen, Lei Duan, Heung-Yeung Shum. 43-52 [doi]
• Struggling or exploring?: disambiguating long search sessionsAhmed Hassan, Ryen W. White, Susan T. Dumais, Yi-Min Wang. 53-62 [doi]
• Democracy is good for ranking: towards multi-view rank learning and adaptation in web searchWei Gao, Pei Yang. 63-72 [doi]
• Relative confidence sampling for efficient on-line ranker evaluationMasrour Zoghi, Shimon Whiteson, Maarten de Rijke, Rémi Munos. 73-82 [doi]
• Adapting deep RankNet for personalized searchYang Song, Hongning Wang, Xiaodong He. 83-92 [doi]
• Search engine click spam detection based on bipartite graph propagationXin Li, Min Zhang, Yiqun Liu, Shaoping Ma, Yijiang Jin, Liyun Ru. 93-102 [doi]
• Sampling dilemma: towards effective data sampling for click prediction in sponsored searchJun Feng, Jiang Bian, Taifeng Wang, Wei Chen, Xiaoyan Zhu, Tie-Yan Liu. 103-112 [doi]
• Exploiting contextual factors for click modeling in sponsored searchDawei Yin, Shike Mei, Bin Cao, Jian-Tao Sun, Brian D. Davison 0001. 113-122 [doi]
• Predicting response in mobile advertising with hierarchical importance-aware factorization machineRichard Jayadi Oentaryo, Ee-Peng Lim, Jia-Wei Low, David Lo, Michael Finegold. 123-132 [doi]
• Partner tiering in display advertisingAnand Bhalgat, Nitish Korula, Hennadiy Leontyev, Max Lin, Vahab S. Mirrokni. 133-142 [doi]
• Estimating ad group performance in sponsored searchDawei Yin, Bin Cao, Jian-Tao Sun, Brian D. Davison 0001. 143-152 [doi]
• Scalable hierarchical multitask learning algorithms for conversion optimization in display advertisingAmr Ahmed, Abhimanyu Das, Alexander J. Smola. 153-162 [doi]
• An efficient framework for online advertising effectiveness measurement and comparisonPengyuan Wang, Yechao Liu, Marsha Meytlis, Han-Yun Tsao, Jian Yang, Pei Huang. 163-172 [doi]
• LASER: a scalable response prediction platform for online advertisingDeepak Agarwal, Bo Long, Jonathan Traupman, Doris Xin, Liang Zhang. 173-182 [doi]
• Discovering common motifs in cursor movement data for improving web searchDmitry Lagun, Mikhail Ageev, Qi Guo, Eugene Agichtein. 183-192 [doi]
• Modeling dwell time to predict click-level satisfactionYoungho Kim, Ahmed Hassan, Ryen W. White, Imed Zitouni. 193-202 [doi]
• User modeling in search logs via a nonparametric bayesian approachHongning Wang, ChengXiang Zhai, Feng Liang, Anlei Dong, Yi Chang. 203-212 [doi]
• The last click: why users give up information network navigationAju Thalappillil Scaria, Rose Marie Philip, Robert West 0001, Jure Leskovec. 213-222 [doi]
• Lessons from the journey: a query log analysis of within-session learningCarsten Eickhoff, Jaime Teevan, Ryen White, Susan T. Dumais. 223-232 [doi]
• Scalable K-Means by ranked retrievalAndrei Z. Broder, Lluis Garcia Pueyo, Vanja Josifovski, Sergei Vassilvitskii, Srihari Venkatesan. 233-242 [doi]
• Taxonomy discovery for personalized recommendationYuchen Zhang, Amr Ahmed, Vanja Josifovski, Alexander J. Smola. 243-252 [doi]
• Who likes it more?: mining worth-recommending items from long tails by modeling relative preferenceYu-Chieh Ho, Yi-Ting Chiang, Jane Yung-jen Hsu. 253-262 [doi]
• On building entity recommender systems using user click log and freebase knowledgeXiao Yu, Hao Ma, Bo-June (Paul) Hsu, Jiawei Han. 263-272 [doi]
• Improving pairwise learning for item recommendation from implicit feedbackSteffen Rendle, Christoph Freudenthaler. 273-282 [doi]
• Personalized entity recommendation: a heterogeneous information network approachXiao Yu, Xiang Ren, Yizhou Sun, Quanquan Gu, Bradley Sturt, Urvashi Khandelwal, Brandon Norick, Jiawei Han. 283-292 [doi]
• Social collaborative retrievalKo-Jen Hsiao, Alex Kulesza, Alfred O. Hero III. 293-302 [doi]
• Transferring heterogeneous links across location-based social networksJiawei Zhang, Xiangnan Kong, Philip S. Yu. 303-312 [doi]
• Customized tour recommendations in urban areasAristides Gionis, Theodoros Lappas, Konstantinos Pelechrinis, Evimaria Terzi. 313-322 [doi]
• Detecting cohesive and 2-mode communities indirected and undirected networksJaewon Yang, Julian J. McAuley, Jure Leskovec. 323-332 [doi]
• FENNEL: streaming graph partitioning for massive scale graphsCharalampos E. Tsourakakis, Christos Gkantsidis, Bozidar Radunovic, Milan Vojnovic. 333-342 [doi]
• A few good predictions: selective node labeling in a social networkGaurish Chaudhari, Vashist Avadhanula, Sunita Sarawagi. 353-362 [doi]
• Active learning for networked data based on non-progressive diffusion modelZhilin Yang, Jie Tang, Bin Xu, Chunxiao Xing. 363-372 [doi]
• Learning latent representations of nodes for classifying in heterogeneous social networksYann Jacob, Ludovic Denoyer, Patrick Gallinari. 373-382 [doi]
• Prediction in a microblog hybrid network using bonacich potentialShanchan Wu, Louiqa Raschid. 383-392 [doi]
• Learning social network embeddings for predicting information diffusionSimon Bourigault, Cédric Lagnier, Sylvain Lamprier, Ludovic Denoyer, Patrick Gallinari. 393-402 [doi]
• Modeling opinion dynamics in social networksAbhimanyu Das, Sreenivas Gollapudi, Kamesh Munagala. 403-412 [doi]
• Fast approximation of betweenness centrality through samplingMatteo Riondato, Evgenios M. Kornaropoulos. 413-422 [doi]
• Effective co-betweenness centrality computationMostafa Haghir Chehreghani. 423-432 [doi]
• Chinese-English mixed text normalizationQi Zhang, Huan Chen, Xuanjing Huang. 433-442 [doi]
• Sentiment analysis on evolving social streams: how self-report imbalances can helpPedro Henrique Calais Guerra, Wagner Meira Jr., Claire Cardie. 443-452 [doi]
• Entity linking at the tail: sparse signals, unknown entities, and phrase modelsYuzhe Jin, Emre Kiciman, Kuansan Wang, Ricky Loynd. 453-462 [doi]
• Latent dirichlet allocation based diversified retrieval for e-commerce searchJun Yu, Sunil Mohan, Duangmanee Putthividhya, Weng-Keen Wong. 463-472 [doi]
• Supervised N-gram topic modelNoriaki Kawamae. 473-482 [doi]
• Going beyond Corr-LDA for detecting specific comments on news & blogsMrinal Kanti Das, Trapit Bansal, Chiranjib Bhattacharyya. 483-492 [doi]
• Nonparametric bayesian upstream supervised multi-modal topic modelsRenjie Liao, Jun Zhu, Zengchang Qin. 493-502 [doi]
• Spatial compactness meets topical consistency: jointly modeling links and content for community detectionMrinmaya Sachan, Avinava Dubey, Shashank Srivastava, Eric P. Xing, Eduard H. Hovy. 503-512 [doi]
• Scalable topic-specific influence analysis on microblogsBin Bi, Yuanyuan Tian, Yannis Sismanis, Andrey Balmin, Junghoo Cho. 513-522 [doi]
• WebChild: harvesting and organizing commonsense knowledge from the webNiket Tandon, Gerard de Melo, Fabian M. Suchanek, Gerhard Weikum. 523-532 [doi]
• Using linked data to mine RDF from wikipedia's tablesEmir Muñoz, Aidan Hogan, Alessandra Mileo. 533-542 [doi]
• Knowledge-based graph document modelingMichael Schuhmacher, Simone Paolo Ponzetto. 543-552 [doi]
• Trust, but verify: predicting contribution quality for knowledge base construction and curationChun How Tan, Eugene Agichtein, Panos Ipeirotis, Evgeniy Gabrilovich. 553-562 [doi]
• Modelling growth of urban crowd-sourced informationGiovanni Quattrone, Afra J. Mashhadi, Daniele Quercia, Chris Smith-Clarke, Licia Capra. 563-572 [doi]
• Inferring the impacts of social media on crowdfundingChun-Ta Lu, Sihong Xie, Xiangnan Kong, Philip S. Yu. 573-582 [doi]
• Understanding and promoting micro-finance activities in Kiva.orgJaegul Choo, Changhyun Lee, Daniel Lee, Hongyuan Zha, Haesun Park. 583-592 [doi]
• Who watches (and shares) what on youtube? and when?: using twitter to understand youtube viewershipAdiya Abisheva, Venkata Rama Kiran Garimella, David Garcia, Ingmar Weber. 593-602 [doi]
• Detecting non-gaussian geographical topics in tagged photo collectionsChristoph Carl Kling, Jérôme Kunegis, Sergej Sizov, Steffen Staab. 603-612 [doi]
• Ranking in heterogeneous social mediaMin-Hsuan Tsai, Charu C. Aggarwal, Thomas S. Huang. 613-622 [doi]
• Visualizing brand associations from web community photosGunhee Kim, Eric P. Xing. 623-632 [doi]
• Is a picture really worth a thousand words?: - on the role of images in e-commerceWei Di, Neel Sundaresan, Robinson Piramuthu, Anurag Bhardwaj. 633-642 [doi]
• Integration of large scale knowledge bases using probabilistic graphical modelsArnab Kumar Dutta. 643-648 [doi]
• Strategy in action: analyzing online search behavior bymining search strategiesChathra Hendahewa. 649-654 [doi]
• On discovering non-obvious recommendations: using unexpectedness and neighborhood selection methods in collaborative filtering systemsPanagiotis Adamopoulos. 655-660 [doi]
• Exploratory search with semantic transformations using collaborative knowledge basesYegin Genc. 661-666 [doi]
• Search by multiple examplesMingzhu Zhu, Yi-fang Brook Wu. 667-672 [doi]
• Behavioral data mining and network analysis in massive online gamesMuhammad Aurangzeb Ahmad, Jaideep Srivastava. 673-674 [doi]
• Exploration and mining of web repositoriesNan Zhang 0004, Gautam Das. 675-676 [doi]
• Big graph mining for the web and social media: algorithms, anomaly detection, and applicationsU. Kang, Leman Akoglu, Duen Horng Chau. 677-678 [doi]
• Diversity and novelty in web search, recommender systems and data streamsRodrygo L. T. Santos, Pablo Castells, Ismail Sengör Altingövde, Fazli Can. 679-680 [doi]
• Multilingual probabilistic topic modeling and its applications in web mining and searchMarie-Francine Moens, Ivan Vulic. 681-682 [doi]
• Entity linking and retrieval for semantic searchEdgar Meij, Krisztian Balog, Daan Odijk. 683-684 [doi]
• Log-based personalization: the 4th web search click data (WSCD) workshopPavel Serdyukov, Georges Dupret, Nick Craswell. 685-686 [doi]
• Web-scale classification: web classification in the big data eraIoannis Partalas, Massih-Reza Amini, Ion Androutsopoulos, Thierry Artières, Patrick Gallinari, Éric Gaussier, Georgios Paliouras. 687-688 [doi]
• 1st workshop on diffusion networks and cascade analyticsPeng Cui, Fei Wang, Hanghang Tong, Manuel Gomez-Rodriguez. 689-690 [doi]
• Workshop on large-scale and distributed systems for information retrieval (LSDS-IR 2014)Ismail Sengör Altingövde, Berkant Barla Cambazoglu, Craig Macdonald, Nicola Tonellotto. 691-692 [doi]
• Data design for personalization: current challenges and emerging opportunitiesElizabeth F. Churchill, Atish Das Sarma. 693-694 [doi]