Table of Contents

• An interdisciplinary perspective on information retrievalSusan T. Dumais. 1-2 [doi]
• Context-aware query classificationHuanhuan Cao, Derek Hao Hu, Dou Shen, Daxin Jiang, Jian-Tao Sun, Enhong Chen, Qiang Yang. 3-10 [doi]
• Refined experts: improving classification in large taxonomiesPaul N. Bennett, Nam Nguyen. 11-18 [doi]
• Dynamicity vs. effectiveness: studying online clustering for scatter/gatherWeimao Ke, Cassidy R. Sugimoto, Javed Mostafa. 19-26 [doi]
• Web searching for daily livingTakuya Maekawa, Yutaka Yanagisawa, Yasushi Sakurai, Yasue Kishino, Koji Kamei, Takeshi Okadome. 27-34 [doi]
• Global ranking by exploiting user clicksShihao Ji, Ke Zhou, Ciya Liao, Zhaohui Zheng, Gui-Rong Xue, Olivier Chapelle, Gordon Sun, Hongyuan Zha. 35-42 [doi]
• Good abandonment in mobile and PC internet searchJane Li, Scott B. Huffman, Akihito Tokuda. 43-50 [doi]
• Efficient query expansion for advertisement searchHaofen Wang, Yan Liang, Linyun Fu, Gui-Rong Xue, Yong Yu. 51-58 [doi]
• Query dependent pseudo-relevance feedback based on wikipediaYang Xu, Gareth J. F. Jones, Bin Wang. 59-66 [doi]
• Segment-level display time as implicit feedback: a comparison to eye trackingGeorg Buscher, Ludger van Elst, Andreas Dengel. 67-74 [doi]
• Addressing morphological variation in alphabetic languagesPaul McNamee, Charles K. Nicholas, James Mayfield. 75-82 [doi]
• Web derived pronunciations for spoken term detectionDogan Can, Erica Cooper, Arnab Ghoshal, Martin Jansche, Sanjeev Khudanpur, Bhuvana Ramabhadran, Michael Riley, Murat Saraclar, Abhinav Sethy, Morgan Ulinski, Christopher M. White. 83-90 [doi]
• Combining LVCSR and vocabulary-independent ranked utterance retrieval for robust speech searchJ. Scott Olsson, Douglas W. Oard. 91-98 [doi]
• Risky business: modeling and exploiting uncertainty in information retrievalJianhan Zhu, Jun Wang, Ingemar J. Cox, Michael J. Taylor. 99-106 [doi]
• Approximating true relevance distribution from a mixture model based on irrelevance dataPeng Zhang, Yuexian Hou, Dawei Song. 107-114 [doi]
• Portfolio theory of information retrievalJun Wang, Jianhan Zhu. 115-122 [doi]
• A statistical comparison of tag and query logsMark James Carman, Mark Baillie, Robert Gwadera, Fabio Crestani. 123-130 [doi]
• Simultaneously modeling semantics and structure of threaded discussions: a sparse coding approach and its applicationsChen Lin, Jiang-Ming Yang, Rui Cai, Xin-Jing Wang, Wei Wang 0009, Lei Zhang. 131-138 [doi]
• Enhancing cluster labeling using wikipediaDavid Carmel, Haggai Roitman, Naama Zwerdling. 139-146 [doi]
• Compressing term positions in web indexesHao Yan, Shuai Ding, Torsten Suel. 147-154 [doi]
• Brute force and indexed approaches to pairwise document similarity comparisons with MapReduceJimmy J. Lin. 155-162 [doi]
• Efficiency trade-offs in two-tier web search systemsRicardo A. Baeza-Yates, Vanessa Murdock, Claudia Hauff. 163-170 [doi]
• A classification-based approach to question answering in discussion boardsLiangjie Hong, Brian D. Davison. 171-178 [doi]
• Ranking community answers by modeling question-answer relationships via analogical reasoningXin-Jing Wang, Xudong Tu, Dan Feng, Lei Zhang. 179-186 [doi]
• A syntactic tree matching approach to finding similar questions in community-based qa servicesKai Wang, Zhaoyan Ming, Tat-Seng Chua. 187-194 [doi]
• On social networks and collaborative recommendationIoannis Konstas, Vassilios Stathopoulos, Joemon M. Jose. 195-202 [doi]
• Learning to recommend with social trust ensembleHao Ma, Irwin King, Michael R. Lyu. 203-210 [doi]
• Fast nonparametric matrix factorization for large-scale collaborative filteringKai Yu, Shenghuo Zhu, John D. Lafferty, Yihong Gong. 211-218 [doi]
• Building enriched document representations using aggregated anchor textDonald Metzler, Jasmine Novak, Hang Cui, Srihari Reddy. 219-226 [doi]
• Using anchor texts with their hyperlink structure for web searchZhicheng Dou, Ruihua Song, Jian-Yun Nie, Ji-Rong Wen. 227-234 [doi]
• Link analysis for private weighted graphsJun Sakuma, Shigenobu Kobayashi. 235-242 [doi]
• Learning to rank for quantity consensus queriesSomnath Banerjee, Soumen Chakrabarti, Ganesh Ramakrishnan. 243-250 [doi]
• Learning in a pairwise term-term proximity framework for information retrievalRonan Cummins, Colm O Riordan. 251-258 [doi]
• Robust sparse rank learning for non-smooth ranking measuresZhengya Sun, Tao Qin, Qing Tao, Jue Wang. 259-266 [doi]
• Named entity recognition in queryJiafeng Guo, Gu Xu, Xueqi Cheng, Hang Li. 267-274 [doi]
• A 2-poisson model for probabilistic coreference of named entities for improved text retrievalSeung-Hoon Na, Hwee Tou Ng. 275-282 [doi]
• Mining employment market via text block detection and adaptive cross-domain information extractionTak-Lam Wong, Wai Lam, Bo Chen. 283-290 [doi]
• A proximity language model for information retrievalJinglei Zhao, Yeogirl Yun. 291-298 [doi]
• Positional language models for information retrievalYuanhua Lv, ChengXiang Zhai. 299-306 [doi]
• A bayesian learning approach to promoting diversity in ranking for biomedical information retrievalXiangji Huang, Qinmin Hu. 307-314 [doi]
• Sources of evidence for vertical selectionJaime Arguello, Fernando Diaz, Jamie Callan, Jean-Francois Crespo. 315-322 [doi]
• Adaptation of offline vertical selection predictions in the presence of user feedbackFernando Diaz, Jaime Arguello. 323-330 [doi]
• A probabilistic topic-based ranking framework for location-sensitive domain information retrievalHuajing Li, Zhisheng Li, Wang-Chien Lee, Dik Lun Lee. 331-338 [doi]
• Entropy-biased models for query representation on the click graphHongbo Deng, Irwin King, Michael R. Lyu. 339-346 [doi]
• Click-through prediction for news queriesArnd Christian König, Michael Gamon, Qiang Wu. 347-354 [doi]
• Smoothing clickthrough data for web search rankingJianfeng Gao, Wei Yuan, Xiao Li, Kefeng Deng, Jian-Yun Nie. 355-362 [doi]
• Predicting user interests from contextual informationRyen W. White, Peter Bailey, Liwei Chen. 363-370 [doi]
• A comparison of query and term suggestion features for interactive searchingDiane Kelly, Karl Gyllstrom, Earl W. Bailey. 371-378 [doi]
• An aspectual interface for supporting complex search tasksRobert Villa, Iván Cantador, Hideo Joho, Joemon M. Jose. 379-386 [doi]
• Combining audio content and social context for semantic music discoveryDouglas Turnbull, Luke Barrington, Gert R. G. Lanckriet, Mehrdad Yazdani. 387-394 [doi]
• Automatic video tagging using content redundancyStefan Siersdorfer, José San Pedro, Mark Sanderson. 395-402 [doi]
• CompositeMap: a novel framework for music similarity measureBingjun Zhang, Jialie Shen, Qiaoliang Xiang, Ye Wang. 403-410 [doi]
• Quantifying performance and quality gains in distributed web search enginesBerkant Barla Cambazoglu, Vassilis Plachouras, Ricardo A. Baeza-Yates. 411-418 [doi]
• SUSHI: scoring scaled samples for server selectionPaul Thomas, Milad Shokouhi. 419-426 [doi]
• Effective query expansion for federated searchMilad Shokouhi, Leif Azzopardi, Paul Thomas. 427-434 [doi]
• From networks to human behaviorAlbert-László Barabási. 435 [doi]
• On rank correlation and the distance between rankingsBen Carterette. 436-443 [doi]
• Score adjustment for correction of pooling biasWilliam Webber, Laurence A. F. Park. 444-451 [doi]
• Towards methods for the collective gathering and quality control of relevance assessmentsGabriella Kazai, Natasa Milic-Frayling, Jamie Costello. 452-459 [doi]
• On the local optimality of LambdaRankPinar Donmez, Krysta Marie Svore, Christopher J. C. Burges. 460-467 [doi]
• Document selection methodologies for efficient and effective learning-to-rankJaved A. Aslam, Evangelos Kanoulas, Virgiliu Pavlu, Stefan Savev, Emine Yilmaz. 468-475 [doi]
• An improved markov random field model for supporting verbose queriesMatthew Lease. 476-483 [doi]
• Placing flickr photos on a mapPavel Serdyukov, Vanessa Murdock, Roelof van Zwol. 484-491 [doi]
• An automatic translation of tags for multimedia contents using folksonomy networksTae-Gil Noh, Seong-Bae Park, Hee-Geun Yoon, Sang-Jo Lee, Se-Young Park. 492-499 [doi]
• CrowdReranking: exploring multiple search engines for visual search rerankingYuan Liu, Tao Mei, Xian-Sheng Hua. 500-507 [doi]
• Including summaries in system evaluationAndrew Turpin, Falk Scholer, Kalvero Jarvelin, Mingfang Wu, J. Shane Culpepper. 508-515 [doi]
• When more is less: the paradox of choice in search engine useAntti Oulasvirta, Janne P. Hukkinen, Barry Schwartz. 516-523 [doi]
• Where to stop reading a ranked list?: threshold optimization using truncated score distributionsAvi T. Arampatzis, Jaap Kamps, Stephen Robertson. 524-531 [doi]
• The wisdom of the few: a collaborative filtering approach based on expert opinions from the webXavier Amatriain, Neal Lathia, Josep M. Pujol, Haewoon Kwak, Nuria Oliver. 532-539 [doi]
• Personalized tag recommendation using graph-based ranking on multi-type interrelated objectsZiyu Guan, Jiajun Bu, Qiaozhu Mei, Chun Chen, Can Wang. 540-547 [doi]
• Leveraging sources of collective wisdom on the web for discovering technology synergiesCai-Nicolas Ziegler, Stefan Jung. 548-555 [doi]
• Query side evaluation: an empirical analysis of effectiveness and effortLeif Azzopardi. 556-563 [doi]
• Reducing long queries using query quality predictorsGiridhar Kumaran, Vitor R. Carvalho. 564-571 [doi]
• Extracting structured information from user queries with semi-supervised conditional random fieldsXiao Li, Ye-Yi Wang, Alex Acero. 572-579 [doi]
• The impact of crawl policy on web search effectivenessDennis Fetterly, Nick Craswell, Vishwa Vinay. 580-587 [doi]
• Optimizing search engine revenue in sponsored searchYunzhang Zhu, Gang Wang, Junli Yang, Dakan Wang, Jun Yan, Jian Hu, Zheng Chen. 588-595 [doi]
• Web-derived resources for web information retrieval: from conceptual hierarchies to attribute hierarchiesMarius Pasca, Enrique Alfonseca. 596-603 [doi]
• Spam filter evaluation with imprecise ground truthGordon V. Cormack, Aleksander Kolcz. 604-611 [doi]
• Telling experts from spammers: expertise ranking in folksonomiesMichael G. Noll, Ching-man Au Yeung, Nicholas Gibbins, Christoph Meinel, Nigel Shadbolt. 612-619 [doi]
• Detecting spammers and content promoters in online video social networksFabrício Benevenuto, Tiago Rodrigues, Virgílio A. F. Almeida, Jussara M. Almeida, Marcos André Gonçalves. 620-627 [doi]
• AdOn: an intelligent overlay video advertising systemJinlian Guo, Tao Mei, Falin Liu, Xian-Sheng Hua. 628-629 [doi]
• Agreement among statistical significance tests for information retrieval evaluation at varying sample sizesMark D. Smucker, James Allan, Ben Carterette. 630-631 [doi]
• Annotation of URLs: more than the sum of partsMax Hinne, Wessel Kraaij, Stephan Raaijmakers, Suzan Verberne, Theo P. van der Weide, Maarten van der Heijden. 632-633 [doi]
• Automatic URL completion and prediction using fuzzy type-ahead searchJiannan Wang, Guoliang Li, Jianhua Feng. 634-635 [doi]
• Beyond session segmentation: predicting changes in search intent with client-side user interactionsQi Guo, Eugene Agichtein. 636-637 [doi]
• Blog distillation using random walksMostafa Keikha, Mark James Carman, Fabio Crestani. 638-639 [doi]
• A case for improved evaluation of query difficulty predictionFalk Scholer, Steven Garcia. 640-641 [doi]
• Characterizing the subjectivity of topicsMarc-Allen Cartright, Elif Aktolga, Jeffrey Dalton. 642-643 [doi]
• Classifying library catalogue by author profilingTadashi Nomoto. 644-645 [doi]
• Cluster-based query expansionInna Gelfer Kalmanovich, Oren Kurland. 646-647 [doi]
• Comparing both relevance and robustness in selection of web ranking functionsFan Li, Xin Li, Shihao Ji, Zhaohui Zheng. 648-649 [doi]
• A comparison of retrieval-based hierarchical clustering approaches to person name disambiguationChristof Monz, Wouter Weerkamp. 650-651 [doi]
• Compression-based document length prior for language modelsJavier Parapar, David E. Losada, Alvaro Barreiro. 652-653 [doi]
• Concept representation based video indexingMeng Wang, Yan Song, Xian-Sheng Hua. 654-655 [doi]
• Context transfer in search advertisingHila Becker, Andrei Z. Broder, Evgeniy Gabrilovich, Vanja Josifovski, Bo Pang. 656-657 [doi]
• Counting ancestors to estimate authorityJian Wang, Brian D. Davison. 658-659 [doi]
• Cross language name matchingJ. Scott McCarley. 660-661 [doi]
• Deep versus shallow judgments in learning to rankEmine Yilmaz, Stephen Robertson. 662-663 [doi]
• Developing energy efficient filtering systemsLeif Azzopardi, Wim Vanderbauwhede, Mahmoud Moadeli. 664-665 [doi]
• Enhancing topical ranking with preferences from click-through dataYi Chang, Anlei Dong, Ciya Liao, Zhaohui Zheng. 666-667 [doi]
• Equivalence between nonnegative tensor factorization and tensorial probabilistic latent semantic analysisWei Peng. 668-669 [doi]
• The ESA retrieval model revisitedMaik Anderka, Benno Stein. 670-671 [doi]
• Estimating query performance using class predictionsKevyn Collins-Thompson, Paul N. Bennett. 672-673 [doi]
• Evaluating effects of machine translation accuracy on cross-lingual patent retrievalAtsushi Fujii, Masao Utiyama, Mikio Yamamoto, Takehito Utsuro. 674-675 [doi]
• Evaluating web search using task completion timeYa Xu, David Mease. 676-677 [doi]
• An evaluation of entity and frequency based query completion methodsEdgar Meij, Peter Mika, Hugo Zaragoza. 678-679 [doi]
• Evolutionary document summarization for disaster managementDingding Wang, Li Zheng, Tao Li, Yi Deng. 680-681 [doi]
• Experiments in CLIR using fuzzy string search based on surface similaritySethuramalingam Subramaniam, Anil Kumar Singh, Pradeep Dasigi, Vasudeva Varma. 682-683 [doi]
• Feature selection for automatic taxonomy inductionHui Yang, Jamie Callan. 684-685 [doi]
• Finding advertising keywords on video scriptsJung-Tae Lee, Hyungdong Lee, Hee-Seon Park, Young-In Song, Hae-Chang Rim. 686-687 [doi]
• Fitting score distribution for blog opinion retrievalBen He, Jie Peng, Iadh Ounis. 688-689 [doi]
• A graph-based approach to mining multilingual word associations from wikipediaZheng Ye, Xiangji Huang, Hongfei Lin. 690-691 [doi]
• Has adhoc retrieval improved since 1994?Timothy G. Armstrong, Alistair Moffat, William Webber, Justin Zobel. 692-693 [doi]
• High precision retrieval using relevance-flow graphJangwon Seo, Jiwoon Jeon. 694-695 [doi]
• Identifying the original contribution of a document via language modelingBenyah Shaparenko, Thorsten Joachims. 696-697 [doi]
• The importance of manual assessment in link discoveryDarren Wei Che Huang, Andrew Trotman, Shlomo Geva. 698-699 [doi]
• Improving search relevance for implicitly temporal queriesDonald Metzler, Rosie Jones, Fuchun Peng, Ruiqiang Zhang. 700-701 [doi]
• Improving user confidence in cultural heritage aggregated resultsJunte Zhang, Alia Amin, Henriette S. M. Cramer, Vanessa Evers, Lynda Hardman. 702-703 [doi]
• Incorporating prior knowledge into a transductive ranking algorithm for multi-document summarizationMassih-Reza Amini, Nicolas Usunier. 704-705 [doi]
• Integrating clusters created offline with query-specific clusters for document retrievalLior Meister, Oren Kurland, Inna Gelfer Kalmanovich. 706-707 [doi]
• Integrating phrase inseparability in phrase-based modelLixin Shi, Jian-Yun Nie. 708-709 [doi]
• Is spam an issue for opinionated blog post search?Craig Macdonald, Iadh Ounis, Ian Soboroff. 710-711 [doi]
• Is this urgent?: exploring time-sensitive information needs in collaborative question answeringYandong Liu, Nitya Narasimhan, Venu Vasudevan, Eugene Agichtein. 712-713 [doi]
• It pays to be picky: an evaluation of thread retrieval in online forumsJonathan L. Elsas, Jaime G. Carbonell. 714-715 [doi]
• Knowledge transformation for cross-domain sentiment classificationTao Li, Vikas Sindhwani, Chris H. Q. Ding, Yi Zhang. 716-717 [doi]
• K-tree: large scale document clusteringChristopher M. De Vries, Shlomo Geva. 718-719 [doi]
• A latent topic model for linked documentsZhen Guo, Shenghuo Zhu, Yun Chi, Zhongfei Zhang, Yihong Gong. 720-721 [doi]
• Measuring constraint violations in information retrievalRonan Cummins, Colm O Riordan. 722-723 [doi]
• Measuring the descriptiveness of web commentsMartin Potthast. 724-725 [doi]
• Mining product reviews based on shallow dependency parsingQi Zhang, Yuanbin Wu, Tao Li, Mitsunori Ogihara, Joseph Johnson, Xuanjing Huang. 726-727 [doi]
• Modeling facial expressions and peripheral physiological signals to predict topical relevanceIoannis Arapakis, Ioannis Konstas, Joemon M. Jose, Ioannis Kompatsiaris. 728-729 [doi]
• Modeling search response timeDan Zhang, Luo Si. 730-731 [doi]
• Multiclass VisualRank: image ranking method in clustered subsets based on visual featuresMitsuru Ambai, Yuichi Yoshida. 732-733 [doi]
• Multiple approaches to analysing query diversityPaul Clough, Mark Sanderson, Murad Abouammoh, Sergio Navarro, Monica Lestari Paramita. 734-735 [doi]
• Multiview clustering: a late fusion approach using latent modelsEric Bruno, Stéphane Marchand-Maillet. 736-737 [doi]
• On efficient posting list intersection with multicore processorsShirish Tatikonda, Flavio Junqueira, Berkant Barla Cambazoglu, Vassilis Plachouras. 738-739 [doi]
• On perfect document rankings for expert searchCraig Macdonald, Iadh Ounis. 740-741 [doi]
• On single-pass indexing with MapReduceRichard M. C. McCreadie, Craig Macdonald, Iadh Ounis. 742-743 [doi]
• On the relative age of spam and ham training samples for email filteringGordon V. Cormack, Jose-Marcio Martins da Cruz. 744-745 [doi]
• Page hunt: improving search engines using human computation gamesHao Ma, Raman Chandrasekar, Chris Quirk, Abhishek Gupta. 746-747 [doi]
• Personalized music emotion recognitionYi-Hsuan Yang, Yu-Ching Lin, Homer H. Chen. 748-749 [doi]
• Predicting stopping behaviour: a preliminary analysisElaine G. Toms, Luanne Freund. 750-751 [doi]
• Protein identification as an information retrieval problemYiming Yang, Subramaniam Ganapathy, Abhay Harpale. 752-753 [doi]
• Query sampling for ranking learning in web searchLinjun Yang, Li Wang, Bo Geng, Xian-Sheng Hua. 754-755 [doi]
• A ranking approach to keyphrase extractionXin Jiang, Yunhua Hu, Hang Li. 756-757 [doi]
• Reciprocal rank fusion outperforms condorcet and individual rank learning methodsGordon V. Cormack, Charles L. A. Clarke, Stefan Büttcher. 758-759 [doi]
• Relevance criteria for e-commerce: a crowdsourcing-based experimental analysisOmar Alonso, Stefano Mizzaro. 760-761 [doi]
• A relevance model based filter for improving ad qualityHema Raghavan, Dustin Hillard. 762-763 [doi]
• A relevance-based topic model for news event trackingViet Ha-Thuc, Yelena Mejova, Christopher Harris, Padmini Srinivasan. 764-765 [doi]
• Revisiting logical imaging for information retrievalGuido Zuccon, Leif Azzopardi, C. J. van Rijsbergen. 766-767 [doi]
• A robust retrieval system of polyphonic music based on chord progression similarityPierre Hanna, Thomas Rocher, Matthias Robine. 768-769 [doi]
• Score and rank convergence of HITSEnoch Peserico, Luca Pretto. 770-771 [doi]
• A search engine in a few lines.: yes, we can!Stefan Savev. 772-773 [doi]
• Search engine predilection towards news media providersLeif Azzopardi, Ciaran Owens. 774-775 [doi]
• Searching documentation using text, OCR, and imageTom Yeh, Boris Katz. 776-777 [doi]
• Selecting hierarchical clustering cut points for web person-name disambiguationJun Gong, Douglas W. Oard. 778-779 [doi]
• Serendipitous search via wikipedia: a query log analysisTetsuya Sakai, Kenichi Nogami. 780-781 [doi]
• Spoken information retrieval for turkish broadcast newsSiddika Parlak, Murat Saraclar. 782-783 [doi]
• A study of inter-annotator agreement for opinion retrievalAdam Bermingham, Alan F. Smeaton. 784-785 [doi]
• SugarCube: quantification of topic propagation in the blogosphere using percolation theoryAli Azimi Bolourian, Yashar Moshfeghi, C. J. van Rijsbergen. 786-787 [doi]
• System scoring using partial prior informationSri Devi Ravana, Laurence A. Park, Alistair Moffat. 788-789 [doi]
• Tag-based object similarity computation using term space dimension reductionYong Ki Lee, Sung-Jun Lee, Jonghun Park. 790-791 [doi]
• Tagging products using image classificationBrian Tomasik, Phyo Thiha, Douglas Turnbull. 792-793 [doi]
• Template-independent wrapper for web forumsQi Zhang, Yang Shi, Xuanjing Huang, Lide Wu. 794-795 [doi]
• Temporal collaborative filtering with adaptive neighbourhoodsNeal Lathia, Stephen Hailes, Licia Capra. 796-797 [doi]
• Temporal query substitution for ad searchWen Zhang, Jun Yan, Shuicheng Yan, Ning Liu, Zheng Chen. 798-799 [doi]
• Term-based commercial intent analysisAzin Ashkan, Charles L. A. Clarke. 800-801 [doi]
• Topic (query) selection for IR evaluationJianhan Zhu, Jun Wang, Vishwa Vinay, Ingemar J. Cox. 802-803 [doi]
• Topic prerogative feature selection using multiple query examples for automatic video retrievalP. Punitha, Joemon M. Jose, Anuj Goyal. 804-805 [doi]
• Topic set size reduxEllen M. Voorhees. 806-807 [doi]
• Transforming patents into prior-art queriesXiaobing Xue, W. Bruce Croft. 808-809 [doi]
• Two-stage query segmentation for information retrievalMichael Bendersky, W. Bruce Croft, David A. Smith. 810-811 [doi]
• Undergraduates evaluations of assigned search topicsEarl W. Bailey, Diane Kelly, Karl Gyllstrom. 812-813 [doi]
• A unified inverted index for an efficient image and text retrievalJonathan Mamou, Yosi Mass, Michal Shmueli-Scheuer, Benjamin Sznajder. 814-815 [doi]
• Usefulness of click-through data in expert searchCraig Macdonald, Ryen W. White. 816-817 [doi]
• User-centric multi-criteria information retrievalShawn R. Wolfe, Yi Zhang. 818-819 [doi]
• Users stopping behaviors and estimates of recallMaureen Dostert, Diane Kelly. 820-821 [doi]
• Using dynamic markov compression to detect vandalism in the wikipediaKelly Y. Itakura, Charles L. A. Clarke. 822-823 [doi]
• Using wikipedia categories for ad hoc searchRianne Kaptein, Marijn Koolen, Jaap Kamps. 824-825 [doi]
• Visualizing the problems with the INEX topicsAndrew Trotman, Maria del Rocio Gomez Crisostomo, Mounia Lalmas. 826 [doi]
• What queries are likely to recur in web search?Dell Zhang, Jinsong Lu. 827-828 [doi]
• When is query performance prediction effective?Claudia Hauff, Leif Azzopardi. 829-830 [doi]
• Who said what to whom?: capturing the structure of debatesRianne Kaptein, Maarten Marx, Jaap Kamps. 831-832 [doi]
• EvaluatIR: an online tool for evaluating and comparing IR systemsTimothy G. Armstrong, Alistair Moffat, William Webber, Justin Zobel. 833 [doi]
• Expertise search in academia using facetsDuncan McDougall, Craig Macdonald. 834 [doi]
• Exploiting social context for expertise propagationGreg P. Milette, Michael K. Schneider, Kathy Ryall, Robert Hyland. 835 [doi]
• Social networks and discovery in the enterprise (SaND)Inbal Ronen, Elad Shahar, Sigalit Ur, Erel Uziel, Sivan Yogev, Naama Zwerdling, David Carmel, Ido Guy, Nadav Har El, Shila Ofek-Koifman. 836 [doi]
• Sifting micro-blogging stream for events of user interestMaxim N. Grinev, Maria P. Grineva, Alexander Boldakov, Leonid Novak, Andrey Syssoev, Dmitry Lizorkin. 837 [doi]
• Incentives for social annotationHeather Roinestad, John Burgoon, Benjamin Markines, Filippo Menczer. 838 [doi]
• Accommodating colorblind users in image searchMeng Wang, Bo Liu, Linjun Yang, Xian-Sheng Hua. 839 [doi]
• Generic similarity search engine demonstrated by an image retrieval applicationDavid Novak, Michal Batko, Pavel Zezula. 840 [doi]
• Pharos: an audiovisual search platformAlessandro Bozzon, Marco Brambilla, Piero Fraternali, Francesco Saverio Nucci, Stefan Debald, Eric Moore, Wolfgang Nejdl, Michel Plu, Patrick Aichroth, Olli Pihlajamaa, Cyril Laurier, Serge Zagorac, Gerhard Backfried, Daniel Weinland, Vincenzo Croce. 841 [doi]
• Agate: information gathering for risk monitoringArnaud Saval, Yann Mombrun. 842 [doi]
• wikiSearch: enabling interactivity in searchElaine G. Toms, Tayze Mackenzie, Chris Jordan, Sam Hall. 843 [doi]
• CDPRanking: discovering and ranking cross-document paths between entitiesWei Jin, Xin Wu. 844 [doi]
• Context-based health information retrievalCarla Lopes. 845 [doi]
• Modeling uncertainty in video retrieval: a retrieval model for uncertain semantic representations of videosRobin Aly. 846 [doi]
• Toponym ambiguity in geographical information retrievalDavide Buscaldi. 847 [doi]
• Exploiting temporal information in retrieval of archived documentsNattiya Kanhabua. 848 [doi]
• Using document structure for automatic summarizationAurélien Bossard. 849 [doi]
• Topic structure for information retrievalJiyin He. 850 [doi]
• Using computational community interest as an indicator for rankingXiaozhong Liu. 851 [doi]
• Affective adaptive retrieval: study of emotion in adaptive retrievalYashar Moshfeghi. 852 [doi]
• A study on performance volatility in information retrievalMehdi Hosseini. 853 [doi]
• Novelty detection across different source types and languagesJohannes Schanda. 854 [doi]
• Personalizing information retrieval using task features, topic knowledge, and task productJingjing Liu. 855 [doi]
• Exploiting memory cues in personal lifelog retrievalYi Chen. 856 [doi]