Sun, 27 Jul 2008 07:10:17 BST CiteULike: Group: ilps - library [439 articles] http://www.citeulike.org/group/1710 CiteULike.org en-gb Copyright © 2004-2008 citeulike.org http://www.citeulike.org/group/1710/article/2972519 <i>Proceedings of the 54th ASIS Annual Meetin 28</i> Users' Criteria for Evaluation in a Multimedia Environment. Schamber Proceedings of the 54th ASIS Annual Meetin 28 2008-07-08T12:45:14-00:00 Proceedings of the 54th ASIS Annual Meetin 28 no-tag http://www.citeulike.org/group/1710/article/2752937 <i>(2008), pp. 1789-1792.</i> Idea navigation: structured browsing for unstructured text Robin Stewart Gregory Scott Vladimir Zelevinsky doi:10.1145/1357054.1357332 (2008), pp. 1789-1792. 2008-05-04T06:37:52-00:00 2008 1789 1792 ACM interface nlp search http://www.citeulike.org/group/1710/article/2898476 <i>Information Processing & Management, Vol. 44, No. 4. (July 2008), pp. 1467-1484.</i><br /><br />This article presents a unifying framework of credibility assessment in which credibility is characterized across a variety of media and resources with respect to diverse information seeking goals and tasks. The initial data were collected through information-activity diaries over a 10-day period from 24 undergraduate students at three different colleges. Based on 245 information seeking activities from the diaries, the authors conducted individual interviews with participants and analyzed the transcripts using a grounded theory analysis. Three distinct levels of credibility judgments emerged: construct, heuristics, and interaction. The construct level pertains to how a person constructs, conceptualizes, or defines credibility. The heuristics level involves general rules of thumb used to make judgments of credibility applicable to a variety of situations. Finally, the interaction level refers to credibility judgments based on content, peripheral source cues, and peripheral information object cues. In addition, context emerged as the social, relational and dynamic frames surrounding the information seeker and providing boundaries of credibility judgments. The implications of the framework in terms of its theoretical contribution to credibility research and practices are discussed. Developing a unifying framework of credibility assessment: Construct, heuristics, and interaction in context Brian Hilligoss Soo Rieh doi:10.1016/j.ipm.2007.10.001 Information Processing & Management, Vol. 44, No. 4. (July 2008), pp. 1467-1484. 2008-06-16T12:13:14-00:00 2008 Information Processing & Management 44 4 1467 1484 context credibility information retrieval search seeking http://www.citeulike.org/group/1710/article/1445550 <i>User Modeling and User-Adapted Interaction, Vol. 17, No. 3. (July 2007), pp. 305-337.</i> The role of human factors in stereotyping behavior and perception of digital library users: a robust clustering approach Frias-Martinez Enrique Chen Sherry Macredie Robert Liu Xiaohui doi:10.1007/s11257-007-9028-7 User Modeling and User-Adapted Interaction, Vol. 17, No. 3. (July 2007), pp. 305-337. 2007-07-10T06:33:10-00:00 2007 User Modeling and User-Adapted Interaction 0924-1868 17 3 305 337 Springer behavior clustering context factors human information ir seeking study um user http://www.citeulike.org/group/1710/article/420508 <i>Journal of the American Society for Information Science, Vol. 51, No. 6. (22 March 2000), pp. 576-581.</i><br /><br />Searching for information on the World Wide Web (WWW) basically comes down to locating an appropriate Web site and to retrieving relevant information from that site. This study examined the effect of a user's WWW experience on both phases of the search process. Twenty-five students from two schools for Dutch pre-university education were observed while performing three search tasks. The results indicate that subjects with WWW-experience are more proficient in locating Web sites than are novice WWW-users. The observed differences were ascribed to the experts' superior skills in operating Web search engines. However, on tasks that required subjects to locate information on specific Web sites, the performance of experienced and novice users was equivalent - a result that is in line with hypertext research. Based on these findings, implications for training and supporting students in searching for information on the WWW are identified. Finally, the role of the subjects' level of domain expertise is discussed and directions for future research are proposed. Differences between novice and experienced users in searching information on the World Wide Web Ard Lazonder Harm Biemans Iwan Wopereis doi:10.1002/(SICI)1097-4571(2000)51:6<576::AID-ASI9>3.0.CO;2-7 Journal of the American Society for Information Science, Vol. 51, No. 6. (22 March 2000), pp. 576-581. 2005-12-03T02:41:34-00:00 2000 Journal of the American Society for Information Science 1097-4571 51 6 576 581 information retrieval seeking study user http://www.citeulike.org/group/1710/article/111657 <i>SIGIR Forum, Vol. 32, No. 1. (1998), pp. 5-17.</i> Real life information retrieval: a study of user queries on the Web Bernard Jansen Amanda Spink Judy Bateman Tefko Saracevic doi:10.1145/281250.281253 SIGIR Forum, Vol. 32, No. 1. (1998), pp. 5-17. 2005-03-02T15:43:45-00:00 1998 SIGIR Forum 0163-5840 32 1 5 17 ACM Press information query retrieval seeking study user http://www.citeulike.org/group/1710/article/2873636 <i>Computer, Vol. 21, No. 1. (January 1988), pp. 70-80.</i> Finding Facts vs. Browsing Knowledge in Hypertext Systems Gary Marchionini Ben Shneiderman Computer, Vol. 21, No. 1. (January 1988), pp. 70-80. 2008-06-08T16:03:05-00:00 1988 Computer 0018-9162 21 1 70 80 IEEE Computer Society Press information interface seeking http://www.citeulike.org/group/1710/article/1682661 <i>(2007), pp. 217-226.</i> Analysis of online video search and sharing Martin Halvey Mark Keane doi:10.1145/1286240.1286301 (2007), pp. 217-226. 2007-09-21T14:50:54-00:00 2007 217 226 ACM Press information need retrieval seeking video http://www.citeulike.org/group/1710/article/1343959 <i>J. Am. Soc. Inf. Sci. Technol., Vol. 58, No. 7. (May 2007), pp. 1055-1065.</i> Google Scholar citations and Google Web&sol;URL citations: A multi-discipline exploratory analysis Kayvan Kousha Mike Thelwall doi:10.1002/asi.v58:7 J. Am. Soc. Inf. Sci. Technol., Vol. 58, No. 7. (May 2007), pp. 1055-1065. 2007-05-30T19:13:22-00:00 2007 J. Am. Soc. Inf. Sci. Technol. 1532-2882 58 7 1055 1065 John Wiley & Sons, Inc. goal information need retrieval seeking http://www.citeulike.org/group/1710/article/92371 <i>(2004), pp. 13-19.</i> Understanding user goals in web search Daniel Rose Danny Levinson doi:10.1145/988672.988675 (2004), pp. 13-19. 2005-02-10T13:30:12-00:00 2004 13 19 ACM Press goal information seeking user http://www.citeulike.org/group/1710/article/2861186 <i>289, Vol. 31 (2007), 277.</i><br /><br />Purpose – To demonstrate how blog searching can be used as a retrospective source of public opinion. Design/methodology/approach - In this paper a variety of blog searching techniques are described and illustrated with a case study of the Danish cartoons affair. Findings - A time series analysis of related blog postings suggests that the Danish cartoons issue attracted little attention in the English-speaking world for four months after the initial publication of the cartoons, exploding only after the simultaneous start of diplomatic sanctions and a commercial boycott. Research limitations/implications – Blogs only reveal the opinions of bloggers, and blog analysis is language-specific. Sections of the world and the population of individual countries that do not have access to the internet will not be adequately represented in blogspace. Moreover, bloggers are self-selected and probably not representative of internet users. Originality/value - The existence of blog search engines now allows researchers to search blogspace for posts relating to any given debate, seeking either the opinions of blogging pundits or casual mentions in personal journals. It is possible to use blogs to examine topics before they first attracted mass media attention, as well as to dissect ongoing discussions. This gives a retrospective source of public opinion that is unique to blog search engines. Blog Searching: The First General-Purpose Source of Retrospective Public Opinion in the Social Sciences? Mike Thelwall doi:10.1108/14684520710764069 289, Vol. 31 (2007), 277. 2008-06-04T14:08:38-00:00 2007 289 31 277 blog information opinion retrieval http://www.citeulike.org/group/1710/article/838560 <i>SIGIR Forum, Vol. 36, No. 2. (2002), pp. 3-10.</i> A taxonomy of web search Andrei Broder doi:10.1145/792550.792552 SIGIR Forum, Vol. 36, No. 2. (2002), pp. 3-10. 2006-09-11T03:21:56-00:00 2002 SIGIR Forum 0163-5840 36 2 3 10 ACM Press information need retrieval seeking user web http://www.citeulike.org/group/1710/article/2861050 <i>Information Processing & Management, Vol. 36, No. 2. (1 March 2000), pp. 229-251.</i><br /><br />This paper presents the first part of the research on user-Web interaction: a multidimensional model, methodology, and general findings. The objectives of this study are three-fold: (1) to explore factors of user-Web interaction in finding factual information and what happens during this interaction; (2) to develop a conceptual framework for studying user-Web interaction; and (3) to apply a process-tracing method for conducting holistic user-Web studies. The proposed model consists of three components: user, interface, and the World Wide Web. User-Web interaction is viewed as a communication process facilitated through an interface. A process-tracing technique has been designed to capture the processes of user-Web interactions. Twenty-four graduate students participated in this study. Prior to the interaction, each participant was given a questionnaire to report his/her computer and Web experience, the State Trait Anxiety Inventory (form Y1 and form Y2) to measure affective states, and an individually administered Embedded Figure Test to measure cognitive style. Each participant used the Web to find answers to two factual questions. Both the processes (continuous screen shots) and the concurrent verbalizations of thoughts were recorded in synchronized video-audio data. The findings provided rich information on users' cognitive, affective and physical behaviors. The proposed model is used to present the findings of user behavior in connections with interfaces and the Web. Users' interaction with World Wide Web resources: an exploratory study using a holistic approach Peiling Wang William Hawk Carol Tenopir doi:10.1016/S0306-4573(99)00059-X Information Processing & Management, Vol. 36, No. 2. (1 March 2000), pp. 229-251. 2008-06-04T13:22:03-00:00 2000 Information Processing & Management 36 2 229 251 information interaction retrieval user http://www.citeulike.org/group/1710/article/2859701 <i>(2007), pp. 165-174.</i> Computing block importance for searching on web sites David Fernandes Edleno de Moura Berthier Ribeiro-Neto Altigran da Silva Marcos Gon\ccalves doi:10.1145/1321440.1321466 (2007), pp. 165-174. 2008-06-03T18:27:50-00:00 2007 165 174 ACM cleaneval cleaning information retrieval http://www.citeulike.org/group/1710/article/113538 <i>World Wide Web, Vol. 8, No. 2. (June 2005), pp. 179-224.</i> Automating Content Extraction of HTML Documents Suhit Gupta Gail Kaiser Peter Grimm Michael Chiang Justin Starren doi:10.1007/s11280-004-4873-3 World Wide Web, Vol. 8, No. 2. (June 2005), pp. 179-224. 2005-03-03T20:20:45-00:00 2005 World Wide Web 1386-145X 8 2 179 224 Kluwer Academic Publishers cleaneval content extraction http://www.citeulike.org/group/1710/article/688165 <i>(2006), pp. 477-486.</i> Searching with context Reiner Kraft Chi Chang Farzin Maghoul Ravi Kumar doi:10.1145/1135777.1135847 (2006), pp. 477-486. 2006-06-07T10:19:55-00:00 2006 477 486 ACM Press context information retrieval http://www.citeulike.org/group/1710/article/2857818 <i>Acoustics, Speech and Signal Processing, 2007. ICASSP 2007. IEEE International Conference on, Vol. 4 (2007), pp. IV-93-IV-96.</i><br /><br />The paper describes our work on the development of a system for retrieval of relevant stories from broadcast news. The system utilizes a combination of audio processing and text mining. The audio processing consists of a segmentation step that partitions the audio into speech and music. The speech is further segmented into speaker segments and then transcribed using an automatic speech recognition system, to yield text input for clustering using non-negative matrix factorization (NMF). We find semantic topics that are used to evaluate the performance for topic detection. Based on these topics we show that a novel query expansion can be performed to return more intelligent search results. We also show that the query expansion helps overcome errors of the automatic transcription Castsearch - Context Based Spoken Document Retrieval LL Molgaard KW Jorgensen LK Hansen doi:10.1109/ICASSP.2007.367171 Acoustics, Speech and Signal Processing, 2007. ICASSP 2007. IEEE International Conference on, Vol. 4 (2007), pp. IV-93-IV-96. 2008-06-02T20:59:54-00:00 2007 Acoustics, Speech and Signal Processing, 2007. ICASSP 2007. IEEE International Conference on 4 IV-93 IV-96 sdr http://www.citeulike.org/group/1710/article/2630245 <i>Advances in Information Retrieval (2008), pp. 652-657.</i><br /><br />Hard queries are known to benefit from relevance feedback provided by users. It is, however, also known that users are generally reluctant to provide feedback when searching for information. A natural resort not demanding any active user participation is to exploit implicit feedback from the previous user search behavior, i.e., from the context of the current search session. In this work, we present a comparative study on the performance of the three most prominent retrieval models, the vector-space, probabilistic, and language-model based retrieval frameworks, when additional session context is incorporated. Exploiting Session Context for Information Retrieval - A Comparative Study Gaurav Pandey Julia Luxenburger doi:10.1007/978-3-540-78646-7_73 Advances in Information Retrieval (2008), pp. 652-657. 2008-04-04T17:46:49-00:00 2008 Advances in Information Retrieval 652 657 ecir feedback information relevance retrieval http://www.citeulike.org/group/1710/article/1542207 <i>(2007), pp. 239-246.</i> Random walks on the click graph Nick Craswell Martin Szummer doi:10.1145/1277741.1277784 (2007), pp. 239-246. 2007-08-08T00:46:43-00:00 2007 239 246 ACM Press context feedback information relevance retrieval sigir http://www.citeulike.org/group/1710/article/1191656 <i>Inf. Process. Manage., Vol. 42, No. 1. (January 2006), pp. 166-190.</i> An implicit feedback approach for interactive information retrieval Ryen White Joemon Jose Ian Ruthven doi:10.1016/j.ipm.2004.08.010 Inf. Process. Manage., Vol. 42, No. 1. (January 2006), pp. 166-190. 2007-03-28T15:18:35-00:00 2006 Inf. Process. Manage. 0306-4573 42 1 166 190 Pergamon Press, Inc. context feedback information interaction relevance retrieval http://www.citeulike.org/group/1710/article/2857656 <i>Advances in Information Retrieval (2008), pp. 296-308.</i><br /><br />Since the introduction of the Enterprise Track at TREC in 2005, the task of finding experts has generated a lot of interest within the research community. Numerous models have been proposed that rank candidates by their level of expertise with respect to some topic. Common to all approaches is a component that estimates the strength of the association between a document and a person. Forming such associations, then, is a key ingredient in expertise search models. In this paper we introduce and compare a number of methods for building document-people associations. Moreover, we make underlying assumptions explicit, and examine two in detail: (i) independence of candidates, and (ii) frequency is an indication of strength. We show that our refined ways of estimating the strength of associations between people and documents leads to significant improvements over the state-of-the-art in the end-to-end expert finding task. Associating People and Documents Krisztian Balog Maarten de Rijke doi:10.1007/978-3-540-78646-7_28 Advances in Information Retrieval (2008), pp. 296-308. 2008-06-02T18:45:29-00:00 2008 Advances in Information Retrieval 296 308 ecir expertise retrieval http://www.citeulike.org/group/1710/article/2857653 <i>Advances in Information Retrieval (2008), pp. 321-333.</i><br /><br />Finding persons who are knowledgeable on a given topic (i.e. Expert Search) has become an active area of recent research [1,2,3] . In this paper we investigate the related task of Intelligent Message Addressing, i.e., finding persons who are potential recipients of a message under composition given its current contents, its previously-specified recipients or a few initial letters of the intended recipient contact (intelligent auto-completion). We begin by providing quantitative evidence, from a very large corpus, of how frequently email users are subject to message addressing problems. We then propose several techniques for this task, including adaptations of well-known formal models of Expert Search. Surprisingly, a simple model based on the K-Nearest-Neighbors algorithm consistently outperformed all other methods. We also investigated combinations of the proposed methods using fusion techniques, which leaded to significant performance improvements over the baselines models. In auto-completion experiments, the proposed models also outperformed all standard baselines. Overall, the proposed techniques showed ranking performance of more than 0.5 in MRR over 5202 queries from 36 different email users, suggesting intelligent message addressing can be a welcome addition to email. Ranking Users for Intelligent Message Addressing Vitor Carvalho William Cohen doi:10.1007/978-3-540-78646-7_30 Advances in Information Retrieval (2008), pp. 321-333. 2008-06-02T18:43:25-00:00 2008 Advances in Information Retrieval 321 333 ecir expertise retrieval http://www.citeulike.org/group/1710/article/2857650 <i>Advances in Information Retrieval (2008), pp. 309-320.</i><br /><br />In this paper we address the problem of searching for knowledgeable persons within the enterprise, known as the expert finding (or expert search) task. We present a probabilistic algorithm using the assumption that terms in documents are produced by people who are mentioned in them. We represent documents retrieved to a query as mixtures of candidate experts language models. Two methods of personal language models extraction are proposed, as well as the way of combining them with other evidences of expertise. Experiments conducted with the TREC Enterprise collection demonstrate the superiority of our approach in comparison with the best one among existing solutions. Modeling Documents as Mixtures of Persons for Expert Finding Pavel Serdyukov Djoerd Hiemstra doi:10.1007/978-3-540-78646-7_29 Advances in Information Retrieval (2008), pp. 309-320. 2008-06-02T18:40:03-00:00 2008 Advances in Information Retrieval 309 320 ecir expertise retrieval http://www.citeulike.org/group/1710/article/1842549 <i>(2007), pp. 23-30.</i> Towards task-based personal information management evaluations David Elsweiler Ian Ruthven doi:10.1145/1277741.1277748 (2007), pp. 23-30. 2007-10-30T15:33:29-00:00 2007 23 30 ACM evaluation information retrieval task http://www.citeulike.org/group/1710/article/2856519 <i>Inf. Process. Manage., Vol. 20, No. 1-2. (1984), pp. 129-138.</i> Human information seeking and design of information systems. William Rouse Sandra Rouse Inf. Process. Manage., Vol. 20, No. 1-2. (1984), pp. 129-138. 2008-06-02T12:14:21-00:00 1984 Inf. Process. Manage. 0306-4573 20 1-2 129 138 Pergamon Press, Inc. design information seeking http://www.citeulike.org/group/1710/article/2443122 <i>(2006), pp. 415-422.</i> Towards spoken-document retrieval for the internet: lattice indexing for large-scale web-search architectures Zheng-Yu Zhou Peng Yu Ciprian Chelba Frank Seide doi:10.3115/1220835.1220888 (2006), pp. 415-422. 2008-02-28T11:35:19-00:00 2006 415 422 Association for Computational Linguistics no-tag http://www.citeulike.org/group/1710/article/2853573 <i>Web Semant., Vol. 6, No. 2. (April 2008), pp. 162-169.</i> ZemPod: A semantic web approach to podcasting \iscar Celma Yves Raimond doi:10.1016/j.websem.2008.01.003 Web Semant., Vol. 6, No. 2. (April 2008), pp. 162-169. 2008-05-31T19:18:59-00:00 2008 Web Semant. 1570-8268 6 2 162 169 Elsevier Science Publishers B. V. no-tag http://www.citeulike.org/group/1710/article/2463832 <i>Integration of Knowledge, Semantics and Digital Media Technology, 2005. EWIMT 2005. The 2nd European Workshop on the (Ref. No. 2005/11099) (2005), pp. 61-66.</i> Podcast pinpointer: a multimedia semantic web application A Rogan A Harth JG Breslin Integration of Knowledge, Semantics and Digital Media Technology, 2005. EWIMT 2005. The 2nd European Workshop on the (Ref. No. 2005/11099) (2005), pp. 61-66. 2008-03-04T10:19:43-00:00 2005 Integration of Knowledge, Semantics and Digital Media Technology, 2005. EWIMT 2005. The 2nd European Workshop on the (Ref. No. 2005/11099) 61 66 podcast semantic_web http://www.citeulike.org/group/1710/article/2813723 <i>(2006), pp. 645-646.</i> Enterprise search behaviour of software engineers Luanne Freund Elaine Toms doi:10.1145/1148170.1148297 (2006), pp. 645-646. 2008-05-19T17:32:57-00:00 2006 645 646 ACM expertise human seeking user-centered http://www.citeulike.org/group/1710/article/2813685 <i>Advances in Information Retrieval (2008), pp. 283-295.</i><br /><br />In an Enterprise setting, an expert search system can assist users with their “expertise need” by suggesting people with relevant expertise to the topic of interest. These systems typically work by associating documentary evidence of expertise to each candidate expert, and then ranking the candidates by the extent to which the documents in their profile are about the query. There are three important factors that affect the retrieval performance of an expert search system - firstly, the selection of the candidate profiles (the documents associated with each candidate), secondly, how the topicality of the documents is measured, and thirdly how the evidence of expertise from the associated documents is combined. In this work, we investigate a new dimension to expert finding, namely whether some documents are better indicators of expertise than others in each candidate’s profile. We apply five techniques to predict the quality documents in candidate profiles, which are likely to be good indicators of expertise. The techniques applied include the identification of possible candidate homepages, and of clustering the documents in each profile to determine the candidate’s main areas of expertise. The proposed approaches are evaluated on three expert search task from recent TREC Enterprise tracks and provide conclusions. High Quality Expertise Evidence for Expert Search Craig Macdonald David Hannah Iadh Ounis doi:10.1007/978-3-540-78646-7_27 Advances in Information Retrieval (2008), pp. 283-295. 2008-05-19T17:11:39-00:00 2008 Advances in Information Retrieval 283 295 evidence expertise finding retrieval search http://www.citeulike.org/group/1710/article/477344 <i>ACM Trans. Comput.-Hum. Interact., Vol. 12, No. 3. (September 2005), pp. 401-434.</i> Social matching: A framework and research agenda Loren Terveen David Mcdonald doi:10.1145/1096737.1096740 ACM Trans. Comput.-Hum. Interact., Vol. 12, No. 3. (September 2005), pp. 401-434. 2006-01-23T00:27:03-00:00 2005 ACM Trans. Comput.-Hum. Interact. 1073-0516 12 3 401 434 ACM Press expertise retrieval seeking http://www.citeulike.org/group/1710/article/2813473 <i>SIGIR Forum, Vol. 41, No. 2. (December 2007), pp. 42-45.</i> The CSIRO enterprise search test collection Peter Bailey Nick Craswell Ian Soboroff Arjen de Vries doi:10.1145/1328964.1328969 SIGIR Forum, Vol. 41, No. 2. (December 2007), pp. 42-45. 2008-05-19T15:34:14-00:00 2007 SIGIR Forum 0163-5840 41 2 42 45 ACM enterprise search http://www.citeulike.org/group/1710/article/2813437 <i>(2007), pp. 111-114.</i> QuME: a mechanism to support expertise finding in online help-seeking communities Jun Zhang Mark Ackerman Lada Adamic Kevin Nam doi:10.1145/1294211.1294230 (2007), pp. 111-114. 2008-05-19T15:23:25-00:00 2007 111 114 ACM expertise finding retrieval seeking http://www.citeulike.org/group/1710/article/2775143 <i>Quality and Quantity (April 2008)</i><br /><br />Qualitative empirical research and case studies have, like any other scientific method, their strengths and weaknesses. But how valid are the findings stemming from such research, particularly when they are base on data gained from interviews? This paper primarily deals with the methodological problems throughout the whole research process. Areas of concerns are: (1) before collecting data and during the whole research process, (2) the process of collecting data, (3) internal validity and making sense of data, (4) external validity of the data and findings, (5) relation between the findings and social sciences as well as social practice. The analysis will reveal a mixed picture concerning the scientific value of qualitative case studies. There is some good news. There is more methodological freedom and room for creativity in qualitative research than it seems at first glance. On the other hand there is a need for a greater methodological awareness particularly concerning possible downsides of subjectivity, the generalisation of the findings, conscious and unconscious biases, influences of dominant ideologies and mainstream thinking. Above all, there is a great need for rational critique. There is great need for a more critical attitude towards (basic) assumptions—particularly, to challenge, question and criticise literally everything systematically and permanently and to put the findings sufficiently in relation to the wider historical context, i.e. epochal ideologies and societal structures. Social science research has to contribute much more to the discussion of values, interests, and ideologies that shape current and future social practices. Are case studies more than sophisticated storytelling?: Methodological problems of qualitative empirical research mainly based on semi-structured interviews Thomas Diefenbach Quality and Quantity (April 2008) 2008-05-09T10:09:17-00:00 2008 Quality and Quantity Springer Netherlands methodology qualitative quantitative http://www.citeulike.org/group/1710/article/2764299 <i>Information Systems Frontiers, Vol. 2, No. 3-4. (2000), pp. 333-347.</i> Collaborative Support for Informal Information in Collective Memory Systems Mark Ackerman David Mcdonald Information Systems Frontiers, Vol. 2, No. 3-4. (2000), pp. 333-347. 2008-05-07T08:32:21-00:00 2000 Information Systems Frontiers 1387-3326 2 3-4 333 347 Kluwer Academic Publishers expertise information recommendation http://www.citeulike.org/group/1710/article/2686481 <i>(2008), pp. 1111-1120.</i> Exploring the role of the reader in the activity of blogging Eric Baumer Mark Sueyoshi Bill Tomlinson doi:10.1145/1357054.1357228 (2008), pp. 1111-1120. 2008-04-18T05:49:37-00:00 2008 1111 1120 ACM blog information search seeking http://www.citeulike.org/group/1710/article/2734610 <i>(2006), pp. 37-41.</i> Oh my, where is the end of the context?: dealing with information in a highly complex environment Daniela Petrelli Vitaveska Lanfranchi Phil Moore Fabio Ciravegna Colin Cadnas doi:10.1145/1164820.1164830 (2006), pp. 37-41. 2008-04-29T15:10:13-00:00 2006 37 41 ACM case_study context information seeking http://www.citeulike.org/group/1710/article/2734581 <i>Inf. Process. Manage., Vol. 31, No. 2. (1995), pp. 191-213.</i> Task complexity affects information seeking and use Katriina Byström Kalervo Järvelin Inf. Process. Manage., Vol. 31, No. 2. (1995), pp. 191-213. 2008-04-29T15:07:09-00:00 1995 Inf. Process. Manage. 0306-4573 31 2 191 213 Pergamon Press, Inc. information seeking task http://www.citeulike.org/group/1710/article/2709844 <i>Image and Video Retrieval (2006), pp. 143-152.</i><br /><br />Recent research in video retrieval has focused on automated, high-level feature indexing on shots or frames. One important application of such indexing is to support precise video retrieval. We report on extensions of this semantic indexing on news video retrieval. First, we utilize extensive query analysis to relate various high-level features and query terms by matching the textual description and context in a time-dependent manner. Second, we introduce a framework to effectively fuse the relation weights with the detectors’ confidence scores. This results in individual high level features that are weighted on a per-query basis. Tests on the TRECVID 2005 dataset show that the above two enhancements yield significant improvement in performance over a corresponding state-of-the-art video retrieval baseline. Video Retrieval Using High Level Features: Exploiting Query Matching and Confidence-Based Weighting Shi-Yong Neo Jin Zhao Min-Yen Kan Tat-Seng Chua doi:10.1007/11788034_15 Image and Video Retrieval (2006), pp. 143-152. 2008-04-23T19:31:11-00:00 2006 Image and Video Retrieval 143 152 acm_mm retrieval video http://www.citeulike.org/group/1710/article/2384883 <i>Image and Video Retrieval (2005), pp. 134-144.</i><br /><br />This paper investigates the applicability of high-level semantic features for video retrieval using the benchmarked data from TRECVID 2003 and 2004, addressing the contributions of features like outdoor, face, and animal in retrieval, and if users can correctly decide on which features to apply for a given need. Pooled truth data gives evidence that some topics would benefit from features. A study with 12 subjects found that people often disagree on the relevance of a feature to a particular topic, including disagreement within the 8% of positive feature-topic associations strongly supported by truth data. When subjects concur, their judgments are correct, and for those 51 topic-feature pairings identified as significant we conduct an investigation into the best interactive search submissions showing that for 29 pairs, topic performance would have improved had users had access to ideal classifiers for those features. The benefits derive from generic features applied to generic topics (27 pairs), and in one case a specific feature applied to a specific topic. Re-ranking submitted shots based on features shows promise for automatic search runs, but not for interactive runs where a person already took care to rank shots well. The Use and Utility of High-Level Semantic Features in Video Retrieval Michael Christel Alexander Hauptmann doi:10.1007/11526346_17 Image and Video Retrieval (2005), pp. 134-144. 2008-02-15T11:56:32-00:00 2005 Image and Video Retrieval 134 144 acm_mm retrieval video http://www.citeulike.org/group/1710/article/2680914 <i>Journal of the American Society for Information Science and Technology, Vol. 9999, No. 9999. (2008), NA.</i><br /><br />Information search and retrieval interactions usually involve information content in the form of document collections, information retrieval systems and interfaces, and the user. To fully understand information search and retrieval interactions between users' cognitive space and the information space, researchers need to turn to cognitive models and theories. In this article, the authors use one of these theories, the basic level theory. Use of the basic level theory to understand human categorization is both appropriate and essential to user-centered design of taxonomies, ontologies, browsing interfaces, and other indexing tools and systems. Analyses of data from two studies involving free sorting by 105 participants of 100 images were conducted. The types of categories formed and category labels were examined. Results of the analyses indicate that image category labels generally belong to superordinate to the basic level, and are generic and interpretive. Implications for research on theories of cognition and categorization, and design of image indexing, retrieval and browsing systems are discussed. Theories of cognition and image categorization: What category labels reveal about basic level theory Abebe Rorissa Hemalata Iyer doi:10.1002/asi.20825 Journal of the American Society for Information Science and Technology, Vol. 9999, No. 9999. (2008), NA. 2008-04-17T07:23:59-00:00 2008 Journal of the American Society for Information Science and Technology 9999 9999 NA category experiment label user http://www.citeulike.org/group/1710/article/2677719 <i>(2007), pp. 991-1000.</i> Semantic concept-based query expansion and re-ranking for multimedia retrieval Apostol Natsev Alexander Haubold Jelena Tesic Lexing Xie Rong Yan doi:10.1145/1291233.1291448 (2007), pp. 991-1000. 2008-04-16T11:54:28-00:00 2007 991 1000 ACM acm_mm concept retrieval semantic video http://www.citeulike.org/group/1710/article/2334391 <i>(2007), pp. 285-288.</i> The importance of query-concept-mapping for automatic video retrieval Dong Wang Xirong Li Jianmin Li Bo Zhang doi:10.1145/1291233.1291293 (2007), pp. 285-288. 2008-02-05T11:15:11-00:00 2007 285 288 ACM acm_mm concept video http://www.citeulike.org/group/1710/article/2620424 <i>Image and Vision Computing, Vol. 26, No. 4. (1 April 2008), pp. 496-511.</i><br /><br />Two new methods are proposed to automatically generate consensus ground truth for real images: Minimean and Minimax methods. These methods and a version of the Yitzhaky and Peli method have been used to provide ground truth for the comparison of edge detection techniques. The developed experiments have revealed that the Minimean consensus method is suitable for the comparison of edge detectors because its results are equivalent to those obtained with artificial or manual ground truth. Automatic generation of consensus ground truth for the comparison of edge detection techniques NL Fernandez-Garcia A Carmona-Poyato R Medina-Carnicer FJ Madrid-Cuevas doi:10.1016/j.imavis.2007.06.009 Image and Vision Computing, Vol. 26, No. 4. (1 April 2008), pp. 496-511. 2008-04-01T15:45:54-00:00 2008 Image and Vision Computing 26 4 496 511 acm_mm ground_truth image http://www.citeulike.org/group/1710/article/2620411 <i>Journal of the American Society for Information Science and Technology, Vol. 58, No. 10. (2007), pp. 1503-1517.</i><br /><br />This study details the activities and strategies that 11th grade students with high academic abilities used during their information seeking and use to complete class projects in a Persuasive Speech class. The study took place in a suburban high school in Maryland, and participants included 21 junior honors students, their teacher, and their library media specialist. Each student produced a 5-7-minute speech on a self-chosen topic. Conducted in the framework of qualitative research in a constructivist paradigm (E.G. Guba, & Y.S. Lincoln, 1998), the study used data collected from observations, individual interviews, and documents students produced for their projects - concept maps, paragraphs, outlines, and research journals. Interview and observation data were analyzed using the constant comparative method (B. Glaser & A. Strauss, 1967) with the help of QSR NVivo 2 (QSR International Pty Ltd, 2002); students' documents were analyzed manually. The findings show that students' understanding, strategies, and activities during information seeking and use were interactive and serendipitous and that students learned about their topics as they searched. The research suggests that high school honors students in an information-rich environment are especially confident with learning tasks requiring an exploratory mode of learning. High school students' Information seeking and use for class projects Jin Chung Delia Neuman doi:10.1002/asi.20637 Journal of the American Society for Information Science and Technology, Vol. 58, No. 10. (2007), pp. 1503-1517. 2008-04-01T15:39:04-00:00 2007 Journal of the American Society for Information Science and Technology 58 10 1503 1517 information seeking student http://www.citeulike.org/group/1710/article/2618677 <i>(January 2008), pp. 883-888.</i> Hacking Wikipedia for Hyponymy Relation Acquisition Asuka Sumida Kentaro Torisawa (January 2008), pp. 883-888. 2008-04-01T06:25:41-00:00 2008 883 888 extraction hypernym http://www.citeulike.org/group/1710/article/2229158 <i>(2007), pp. 76-85.</i> Extracting semantic relations from query logs Ricardo Baeza-Yates Alessandro Tiberi doi:10.1145/1281192.1281204 (2007), pp. 76-85. 2008-01-14T07:12:45-00:00 2007 76 85 ACM clustering navigation ontology_learning query_analysis http://www.citeulike.org/group/1710/article/1286460 <i>(2003)</i><br /><br />We augment the naive Bayes model with an n-gram language model to address two shortcomings of naive Bayes text classifiers. Combining Naive Bayes and n-Gram Language Models for Text Classification F Peng D Schuurmans (2003) 2007-05-09T22:09:52-00:00 2003 naive_bayes text_classification http://www.citeulike.org/group/1710/article/2479212 <i>Journal of the American Society for Information Science and Technology, Vol. 9999, No. 9999. (2008), NA.</i><br /><br />This review describes experimental designs (users, search tasks, measures, etc.) used by 31 controlled user studies of information visualization (IV) tools for textual information retrieval (IR) and a meta-analysis of the reported statistical effects. Comparable experimental designs allow research designers to compare their results with other reports, and support the development of experimentally verified design guidelines concerning which IV techniques are better suited to which types of IR tasks. The studies generally use a within-subject design with 15 or more undergraduate students performing browsing to known-item tasks on sets of at least 1,000 full-text articles or Web pages on topics of general interest/news. Results of the meta-analysis (N = 8) showed no significant effects of the IV tool as compared with a text-only equivalent, but the set shows great variability suggesting an inadequate basis of comparison. Experimental design recommendations are provided which would support comparison of existing IV tools for IR usability testing. Controlled user evaluations of information visualization interfaces for text retrieval: Literature review and meta-analysis Charles-Antoine Julien John Leide France Bouthillier doi:10.1002/asi.20786 Journal of the American Society for Information Science and Technology, Vol. 9999, No. 9999. (2008), NA. 2008-03-06T15:50:21-00:00 2008 Journal of the American Society for Information Science and Technology 9999 9999 NA evaluation information interface retrieval seeking http://www.citeulike.org/group/1710/article/2473351 <i>Information Processing & Management, Vol. 44, No. 2. (March 2008), pp. 433-436.</i> Evaluating exploratory search systems: Introduction to special topic issue of information processing and management Ryen White Gary Marchionini Gheorghe Muresan doi:10.1016/j.ipm.2007.09.011 Information Processing & Management, Vol. 44, No. 2. (March 2008), pp. 433-436. 2008-03-05T15:11:17-00:00 2008 Information Processing & Management 44 2 433 436 search_tactics user