Thu, 07 Aug 2008 22:02:23 BST CiteULike: brusilovsky's library [446 articles] http://www.citeulike.org/user/brusilovsky/order/to_read CiteULike.org en-gb Copyright © 2004-2008 citeulike.org http://www.citeulike.org/user/brusilovsky/article/2752937 <i>(2008), pp. 1789-1792.</i><br /><br />Traditional interfaces for information access do not fully support queries that rely on semantic relationships between terms. To better support such queries, we introduce a system that automatically extracts subject-verb-object concepts from unstructured text documents and dynamically presents them to the user as navigable refinements. This approach, which we call "idea navigation," makes subject-verb-object querying as simple as selecting successive refinements. It also supports exploratory search by providing a view of the most common ideas in the current result set. First-time users of a prototype system successfully used idea navigation to solve realistic search tasks, demonstrating its effectiveness. 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 aboutness information-extraction japaws navigation http://www.citeulike.org/user/brusilovsky/article/2862354 <i>(2008), pp. 1271-1274.</i><br /><br />While proponents of adaptive user interfaces tout potential performance gains, critics argue that adaptation's unpredictability may disorient users, causing more harm than good. We present a study that examines the relative effects of predictability and accuracy on the usability of adaptive UIs. Our results show that increasing predictability and accuracy led to strongly improved satisfaction. Increasing accuracy also resulted in improved performance and higher utilization of the adaptive interface. Contrary to our expectations, improvement in accuracy had a stronger effect on performance, utilization and some satisfaction ratings than the improvement in predictability. Predictability and accuracy in adaptive user interfaces Krzysztof Gajos Katherine Everitt Desney Tan Mary Czerwinski Daniel Weld doi:10.1145/1357054.1357252 (2008), pp. 1271-1274. 2008-06-04T19:28:05-00:00 2008 1271 1274 ACM adaptive-interface empirical-study en http://www.citeulike.org/user/brusilovsky/article/2862084 <i>(2008), pp. 1247-1256.</i><br /><br />Adaptive personalization, where the system adapts the interface to a user's needs, has the potential for significant performance benefits on small screen devices. However, research on adaptive interfaces has almost exclusively focused on desktop displays. To explore how well previous findings generalize to small screen devices, we conducted a study with 36 subjects to compare adaptive interfaces for small and desktop-sized screens. Results show that high accuracy adaptive menus have an even larger positive impact on performance and satisfaction when screen real estate is constrained. The drawback of the high accuracy menus, however, is that they reduce the user's awareness of the full set of items in the interface, potentially making it more difficult for users to learn about new features. Impact of screen size on performance, awareness, and user satisfaction with adaptive graphical user interfaces Leah Findlater Joanna Mcgrenere doi:10.1145/1357054.1357249 (2008), pp. 1247-1256. 2008-06-04T17:42:28-00:00 2008 1247 1256 ACM adaptive-interface empirical-study en mobile-computing http://www.citeulike.org/user/brusilovsky/article/2686488 <i>(2008), pp. 1237-1246.</i><br /><br />This paper presents a new information visualization framework that supports the analytical reasoning process. It consists of three views - a data view, a knowledge view and a navigation view. The data view offers interactive information visualization tools. The knowledge view enables the analyst to record analysis artifacts such as findings, hypotheses and so on. The navigation view provides an overview of the exploration process by capturing the visualization states automatically. An analysis artifact recorded in the knowledge view can be linked to a visualization state in the navigation view. The analyst can revisit a visualization state from both the navigation and knowledge views to review the analysis and reuse it to look for alternate views. The whole analysis process can be saved along with the synthesized information. We present a user study and discuss the perceived usefulness of a prototype based on this framework that we have developed. Supporting the analytical reasoning process in information visualization Yedendra Shrinivasan Jarke van Wijk doi:10.1145/1357054.1357247 (2008), pp. 1237-1246. 2008-04-18T05:53:29-00:00 2008 1237 1246 ACM en information-analysis information-visualization japaws http://www.citeulike.org/user/brusilovsky/article/2931394 <i>(2008), pp. 1085-1088.</i><br /><br />Collaborative filtering (CF) has been successfully deployed over the years to compute predictions on items based on a user's correlation with a set of peers. The black-box nature of most CF applications leave the user wondering how the system arrived at its recommendation. This note introduces PeerChooser, a collaborative recommender system with an interactive graphical explanation interface. Users are provided with a visual explanation of the CF process and opportunity to manipulate their neighborhood at varying levels of granularity to reflect aspects of their current requirements. In this manner we overcome the problem of redundant profile information in CF systems, in addition to providing an explanation interface. Our layout algorithm produces an exact, noiseless graph representation of the underlying correlations between users. PeerChooser's prediction component uses this graph directly to yield the same results as the benchmark. User's then improve on these predictions by tweaking the graph to their current requirements. We present a user-survey in which PeerChooser compares favorably against a benchmark CF algorithm. PeerChooser: visual interactive recommendation John O'Donovan Barry Smyth Brynjar Gretarsson Svetlin Bostandjiev Tobias Höllerer doi:10.1145/1357054.1357222 (2008), pp. 1085-1088. 2008-06-26T16:11:47-00:00 2008 1085 1088 ACM dlpaws en information-exploration information-visualization recommender http://www.citeulike.org/user/brusilovsky/article/1230194 <i>(12 Apr 2007)</i><br /><br />The social media site Flickr allows users to upload their photos, annotate them with tags, submit them to groups, and also to form social networks by adding other users as contacts. Flickr offers multiple ways of browsing or searching it. One option is tag search, which returns all images tagged with a specific keyword. If the keyword is ambiguous, e.g., “beetle” could mean an insect or a car, tag search results will include many images that are not relevant to the sense the user had in mind when executing the query. We claim that users express their photography interests through the metadata they add in the form of contacts and image annotations. We show how to exploit this metadata to personalize search results for the user, thereby improving search performance. First, we show that we can significantly improve search precision by filtering tag search results by user's contacts or a larger social network that includes those contact's contacts. Secondly, we describe a probabilistic model that takes advantage of tag information to discover latent topics contained in the search results. The users' interests can similarly be described by the tags they used for annotating their images. The latent topics found by the model are then used to personalize search results by finding images on topics that are of interest to the user. Personalizing Image Search Results on Flickr Kristina Lerman Anon Plangprasopchok Chio Wong (12 Apr 2007) 2007-04-16T16:57:49-00:00 2007 adaptive-search flickr sharing social-search http://www.citeulike.org/user/brusilovsky/article/988482 <i>(7 Dec 2006)</i><br /><br />The new social media sites - blogs, wikis, del.icio.us and Flickr, among others - underscore the transformation of the Web to a participatory medium in which users are actively creating, evaluating and distributing information. The photo-sharing site Flickr, for example, allows users to upload photographs, view photos created by others, comment on those photos, etc. As is common to other social media sites, Flickr allows users to designate others as “contacts” and to track their activities in real time. The contacts (or friends) lists form the social network backbone of social media sites. We claim that these social networks facilitate new ways of interacting with information, e.g., through what we call social browsing. The contacts interface on Flickr enables users to see latest images submitted by their friends. Through an extensive analysis of Flickr data, we show that social browsing through the contacts' photo streams is one of the primary methods by which users find new images on Flickr. This finding has implications for creating personalized recommendation systems based on the user's declared contacts lists. Social Browsing on Flickr Kristina Lerman Laurie Jones (7 Dec 2006) 2006-12-11T11:23:29-00:00 2006 flickr sharing http://www.citeulike.org/user/brusilovsky/article/1717603 <i>(2006), pp. 309-312.</i><br /><br />The task of researching information on a particular topic using the Web is mainly accomplished by using keyword-based search engines. Although this approach provides a good starting point, it remains a tedious task to collect additional information that puts this topic in greater context. In this paper we present ConceptWorld, an instrument to automatically discover various facets of a topic of interest by extracting concepts from Web documents. The result materializes as a network of semantic concepts with their various contextual interrelations and provides a holistic view on the topic of interest. Automated Concept Discovery from Web Resources Michael Dittenbach Helmut Berger Dieter Merkl doi:10.1109/WI.2006.45 (2006), pp. 309-312. 2007-10-02T00:20:58-00:00 2006 309 312 IEEE Computer Society concept-extraction http://www.citeulike.org/user/brusilovsky/article/1003489 <i>Lecture Notes in Computer Science : On the Move to Meaningful Internet Systems 2006: OTM 2006 Workshops (2006), pp. 181-188.</i> Community-Driven Ontology Evolution Based on Folksonomies Domenico Gendarmi Filippo Lanubile doi:10.1007/11915034_41 Lecture Notes in Computer Science : On the Move to Meaningful Internet Systems 2006: OTM 2006 Workshops (2006), pp. 181-188. 2006-12-20T13:04:15-00:00 2006 Lecture Notes in Computer Science : On the Move to Meaningful Internet Systems 2006: OTM 2006 Workshops 181 188 folksonomy ontology http://www.citeulike.org/user/brusilovsky/article/777416 <i>New Review in Hypermedia and Multimedia, Vol. 12, No. 1. (June 2006), pp. 63-81.</i> Freely faceted classification for Web-based information retrieval Gnoli Claudio Mei Hong doi:10.1080/13614560600758944 New Review in Hypermedia and Multimedia, Vol. 12, No. 1. (June 2006), pp. 63-81. 2006-07-28T08:31:18-00:00 2006 New Review in Hypermedia and Multimedia 1361-4568 12 1 63 81 Taylor and Francis Ltd faceted-search knowledge-organization http://www.citeulike.org/user/brusilovsky/article/351089 <i>(1996), pp. 205-212.</i> A case for interaction: a study of interactive information retrieval behavior and effectiveness J&\#252;rgen Koenemann Nicholas Belkin doi:10.1145/238386.238487 (1996), pp. 205-212. 2005-10-14T16:47:25-00:00 1996 205 212 ACM Press implicit-feedback information-exploration http://www.citeulike.org/user/brusilovsky/article/21463 <i>New Review in Hypermedia and Multimedia, Vol. 10, No. 1., 53.</i> Embedding information retrieval in adaptive hypermedia: IR meets AHA! Lora Aroyo Paul De Bra Geert-Jan Houben Richard Vdovjak doi:10.1080/13614560410001728146 New Review in Hypermedia and Multimedia, Vol. 10, No. 1., 53. 2004-12-28T16:19:10-00:00 New Review in Hypermedia and Multimedia 1361-4568 10 1 53 Taylor and Francis Ltd adaptive-hypermedia information-retrieval open-hypertext http://www.citeulike.org/user/brusilovsky/article/2931912 <i>(2008), pp. 1545-1554.</i><br /><br />Social networking sites support a variety of shared content types such as photos, videos, or music. More structured or form-based social content types are not mainstream but we have started seeing sites evolve that support them. This paper describes the design and use of structured lists in an enterprise social networking system. As a major feature of our shared lists, we introduced the ability to reuse someone else's list. We report the results on the use and reuse of shared lists based on three months of usage data from 285 users and interviews with 9 users. Our findings suggest that despite the structured nature of lists, our users socialize more around lists than photos, and use lists as a medium for self-representation. Use and reuse of shared lists as a social content type Werner Geyer Casey Dugan Joan Dimicco David Millen Beth Brownholtz Michael Muller doi:10.1145/1357054.1357296 (2008), pp. 1545-1554. 2008-06-26T18:27:47-00:00 2008 1545 1554 ACM dlpaws en social-web web_20 http://www.citeulike.org/user/brusilovsky/article/1853879 <i>(2007), pp. 300-309.</i> Time-dependent event hierarchy construction Gabriel Jeffrey Yu Huan Liu Philip Yu doi:10.1145/1281192.1281227 (2007), pp. 300-309. 2007-11-02T01:59:42-00:00 2007 300 309 ACM datamining news http://www.citeulike.org/user/brusilovsky/article/2195687 <i>ACM Trans. Inf. Syst., Vol. 25, No. 2. (April 2007)</i><br /><br />This article examines the reliability of implicit feedback generated from clickthrough data and query reformulations in World Wide Web (WWW) search. Analyzing the users' decision process using eyetracking and comparing implicit feedback against manual relevance judgments, we conclude that clicks are informative but biased. While this makes the interpretation of clicks as absolute relevance judgments difficult, we show that relative preferences derived from clicks are reasonably accurate on average. We find that such relative preferences are accurate not only between results from an individual query, but across multiple sets of results within chains of query reformulations. Evaluating the accuracy of implicit feedback from clicks and query reformulations in Web search Thorsten Joachims Laura Granka Bing Pan Helene Hembrooke Filip Radlinski Geri Gay doi:10.1145/1229179.1229181 ACM Trans. Inf. Syst., Vol. 25, No. 2. (April 2007) 2008-01-04T21:39:32-00:00 2007 ACM Trans. Inf. Syst. 1046-8188 25 2 ACM en implicit-feedback information-retrieval www-search http://www.citeulike.org/user/brusilovsky/article/2504180 <i>(2004), pp. 9-16.</i><br /><br />This paper describes a comparative experiment with five well-known tree visualization systems, and Windows Explorer as a baseline system. Subjects performed tasks relating to the structure of a directory hierarchy, and to attributes of files and directories. Task completion times, correctness and user satisfaction were measured, and video recordings of subjectsý interaction with the systems were made. Significant system and task type effects and an interaction between system and task type were found. Qualitative analyses of the video recordings were thereupon conducted to determine reasons for the observed differences, resulting in several findings and design recommendations as well as implications for future experiments with tree visualization systems. User Experiments with Tree Visualization Systems Alfred Kobsa doi:10.1109/INFOVIS.2004.70 (2004), pp. 9-16. 2008-03-10T19:13:07-00:00 2004 9 16 IEEE Computer Society hierarchy information-visualization http://www.citeulike.org/user/brusilovsky/article/2281691 <i>(2006), pp. 332-339.</i><br /><br />User modeling for information retrieval has mostly been studied to improve the effectiveness of information access in centralized repositories. In this paper we explore user modeling in the context of full-text federated search in peer-to-peer networks. Our approach models a user's persistent, long-term interests based on past queries, and uses the model to improve search efficiency for future queries that represent interests similar to past queries. Our approach also enables queries representing a user's transient, ad-hoc interests to be automatically recognized so that search for these queries can rely on a relatively large search radius to avoid sacrificing effectiveness for efficiency. Experimental results demonstrate that our approach can significantly improve the efficiency of full-text federated search without degrading its accuracy. Furthermore, the proposed approach does not require a large amount of training data, and is robust to a range of parameter values. User modeling for full-text federated search in peer-to-peer networks Jie Lu Jamie Callan doi:10.1145/1148170.1148229 (2006), pp. 332-339. 2008-01-23T20:02:07-00:00 2006 332 339 ACM adaptive-search user-model http://www.citeulike.org/user/brusilovsky/article/1708600 <i>(2007), pp. 1-4.</i> Adaptive Personalization of Web Search Shady Elbassuoni Julia Luxenburger Gerhard Weikum (2007), pp. 1-4. 2007-09-29T18:08:05-00:00 2007 1 4 adaptive-search personalization www-search http://www.citeulike.org/user/brusilovsky/article/618204 <i>(2004), pp. 571-580.</i><br /><br />Today's university library has many digitally accessible resources, both indexes to content and considerable original content. Using off-the-shelf search technology provides a single point of access into library resources, but we have found that such full-text indexing technology is not entirely satisfactory for library searching. In response to this, we report initial usage results from a prototype of an entirely new type of search engine - The System for Electronic Recommendation Filtering (SERF) - that we have designed and deployed for the Oregon State University (OSU) Libraries. SERF encourages users to enter longer and more informative queries, and collects ratings from users as to whether search results meet their information need or not. These ratings are used to make recommendations to later users with similar needs. Over time, SERF learns from the users what documents are valuable for what information needs. In this paper, we focus on understanding whether such recommendations can increase other users' search efficiency and effectiveness in library website searching. Based on examination of three months of usage as an alternative search interface available to all users of the Oregon State University Libraries website (http://osulibrary.oregonstate.edu/), we found strong evidence that the recommendations with human evaluation could increase the efficiency as well as effectiveness of the library website search process. Those users who received recommendations needed to examine fewer results, and recommended documents were rated much higher than documents returned by a traditional search engine. SERF: integrating human recommendations with search Seikyung Jung Kevin Harris Janet Webster Jonathan Herlocker doi:10.1145/1031171.1031277 (2004), pp. 571-580. 2006-05-08T20:23:50-00:00 2004 571 580 ACM Press academic-reference en recommender social-search http://www.citeulike.org/user/brusilovsky/article/1738250 <i>User Modeling 2007 (2007), pp. 278-287.</i><br /><br />Recommender systems produce social networks as a side effect of predicting what users will like. However, the potential for these social networks to aid in recommending items is largely ignored. We propose a recommender system that works directly with these networks to distribute and recommend items: the informal exchange of information (word of mouth communication) is supported rather than replaced. The paper describes the push-poll approach and evaluates its performance at predicting user ratings for movies against a collaborative filtering algorithm. Overall, the push-poll approach performs significantly better while being computationally efficient and suitable for dynamic domains (e.g. recommending items from RSS feeds). Push-Poll Recommender System: Supporting Word of Mouth Andrew Webster Julita Vassileva doi:10.1007/978-3-540-73078-1_31 User Modeling 2007 (2007), pp. 278-287. 2007-10-08T02:12:24-00:00 2007 User Modeling 2007 278 287 Springer news recommender social-navigation social-network http://www.citeulike.org/user/brusilovsky/article/1291662 <i>(2007), pp. 541-550.</i> Compare&contrast: using the web to discover comparable cases for news stories Jiahui Liu Earl Wagner Larry Birnbaum doi:10.1145/1242572.1242646 (2007), pp. 541-550. 2007-05-12T20:50:15-00:00 2007 541 550 ACM Press named-entity news http://www.citeulike.org/user/brusilovsky/article/960041 <i>(2005), pp. 2009-2012.</i> An empirical assessment of adaptation techniques Theophanis Tsandilas Schraefel doi:10.1145/1056808.1057079 (2005), pp. 2009-2012. 2006-11-24T00:48:19-00:00 2005 2009 2012 ACM Press adaptive-interface empirical-study http://www.citeulike.org/user/brusilovsky/article/1246118 <i>User Modeling and User-Adapted Interaction, Vol. 13, No. 4. (1 November 2003), pp. 373-396.</i> User Attitudes Regarding a User-Adaptive eCommerce Web Site Sherman Alpert John Karat Clare-Marie Karat Carolyn Brodie John Vergo doi:10.1023/A:1026201108015 User Modeling and User-Adapted Interaction, Vol. 13, No. 4. (1 November 2003), pp. 373-396. 2007-04-23T22:54:56-00:00 2003 User Modeling and User-Adapted Interaction 13 4 373 396 2470-072 2470-081 e-commerce empirical-study open-user-model personalization user-centered-design user-control http://www.citeulike.org/user/brusilovsky/article/801422 <i>(2006), pp. 417-426.</i> Exploring social annotations for the semantic web Xian Wu Lei Zhang Yong Yu doi:10.1145/1135777.1135839 (2006), pp. 417-426. 2006-08-14T21:57:10-00:00 2006 417 426 ACM Press annotation contribution en social-navigation tagging http://www.citeulike.org/user/brusilovsky/article/1036276 <i>: Groupware: Design, Implementation, and Use (2006), pp. 349-363.</i> Social Visualization Encouraging Participation in Online Communities Lingling Sun Julita Vassileva doi:10.1007/11853862_28 : Groupware: Design, Implementation, and Use (2006), pp. 349-363. 2007-01-11T09:29:28-00:00 2006 : Groupware: Design, Implementation, and Use 349 363 community contribution visualization http://www.citeulike.org/user/brusilovsky/article/597679 <i>Information Retrieval, Vol. 9, No. 2. (March 2006), pp. 165-190.</i> Anonymous personalization in collaborative web search Barry Smyth Evelyn Balfe doi:10.1007/s10791-006-7148-z Information Retrieval, Vol. 9, No. 2. (March 2006), pp. 165-190. 2006-04-24T11:49:02-00:00 2006 Information Retrieval 1386-4564 9 2 165 190 Springer adaptive-search social-navigation social-search http://www.citeulike.org/user/brusilovsky/article/351087 <i>Vol. 1134 (1996), pp. 802-811.</i><br /><br />. Constructing a query consisting of a set of terms or descriptors is often an iterative process. To the user, the starting query and the final result could be strongly related. These two queries could even be worthy of a link between them. This paper presents a method for deciding when a link between two descriptors is justified. The decision hinges on the way in which the user has moved from one to the other. In order to allow for users with different levels of experience and different... Personalized Search Support for Networked Document Retrieval Using Link Inference FC Berger P van Bommel Vol. 1134 (1996), pp. 802-811. 2005-10-14T16:42:33-00:00 1996 1134 802 811 Springer-Verlag adaptive-search http://www.citeulike.org/user/brusilovsky/article/1059764 <i>: On the Move to Meaningful Internet Systems 2006: OTM 2006 Workshops (2006), pp. 1050-1061.</i> Ontological Distance Measures for Information Visualisation on Conceptual Maps Sylvie Ranwez Vincent Ranwez Jean Villerd Michel Crampes doi:10.1007/11915072_7 : On the Move to Meaningful Internet Systems 2006: OTM 2006 Workshops (2006), pp. 1050-1061. 2007-01-22T13:23:08-00:00 2006 : On the Move to Meaningful Internet Systems 2006: OTM 2006 Workshops 1050 1061 concept-map information-visualization http://www.citeulike.org/user/brusilovsky/article/1086405 <i>(2007), pp. 122-131.</i> Context-Aware, adaptive information retrieval for investigative tasks Zhen Wen Michelle Zhou Vikram Aggarwal doi:10.1145/1216295.1216321 (2007), pp. 122-131. 2007-02-03T22:35:50-00:00 2007 122 131 ACM Press adaptive-search context information-retrieval sensemaking http://www.citeulike.org/user/brusilovsky/article/1086342 <i>(2004), pp. 478-479.</i> Eye-tracking analysis of user behavior in WWW search Laura Granka Thorsten Joachims Geri Gay doi:10.1145/1008992.1009079 (2004), pp. 478-479. 2007-02-03T21:54:42-00:00 2004 478 479 ACM Press eye-tracking information-retrieval http://www.citeulike.org/user/brusilovsky/article/1086247 <i>(2007), pp. 62-71.</i> Talk amongst yourselves: inviting users to participate in online conversations Maxwell Harper Dan Frankowski Sara Drenner Yuqing Ren Sara Kiesler Loren Terveen Robert Kraut John Riedl doi:10.1145/1216295.1216313 (2007), pp. 62-71. 2007-02-03T17:47:50-00:00 2007 62 71 ACM Press community contribution http://www.citeulike.org/user/brusilovsky/article/379395 <i>(2005), pp. 154-161.</i><br /><br />This paper examines the reliability of implicit feedback generated from clickthrough data in WWW search. Analyzing the users' decision process using eyetracking and comparing implicit feedback against manual relevance judgments, we conclude that clicks are informative but biased. While this makes the interpretation of clicks as absolute relevance judgments difficult, we show that relative preferences derived from clicks are reasonably accurate on average. Accurately interpreting clickthrough data as implicit feedback Thorsten Joachims Laura Granka Bing Pan Helene Hembrooke Geri Gay doi:10.1145/1076034.1076063 (2005), pp. 154-161. 2005-11-03T14:08:57-00:00 2005 154 161 ACM Press eye-tracking implicit-feedback information-retrieval http://www.citeulike.org/user/brusilovsky/article/275549 <i>(2005), pp. 179-188.</i> Evaluation and evolution of a browse and search interface: relation browser Junliang Zhang Gary Marchionini (2005), pp. 179-188. 2005-08-05T19:53:41-00:00 2005 179 188 Digital Government Research Center information-retrieval information-visualization http://www.citeulike.org/user/brusilovsky/article/1084741 <i>(1999)</i> Psychology of Intelligence Analysis Richards Heuer (1999) 2007-02-02T18:36:33-00:00 1999 U.S. Government Printing Office information-analysis http://www.citeulike.org/user/brusilovsky/article/165117 <i>(2004), pp. 212-221.</i> Using social psychology to motivate contributions to online communities Gerard Beenen Kimberly Ling Xiaoqing Wang Klarissa Chang Dan Frankowski Paul Resnick Robert Kraut doi:10.1145/1031607.1031642 (2004), pp. 212-221. 2005-04-19T18:59:18-00:00 2004 212 221 ACM Press community contribution http://www.citeulike.org/user/brusilovsky/article/375907 <i>International Conference on Digital Libraries,Proceedings of the 4th ACM/IEEE-CS joint conference on Digital libraries (2004), pp. 228-236.</i><br /><br />The number of research papers available is growing at a staggering rate. Researchers need tools to help them find the papers they should read among all the papers published each year. In this paper, we present and experiment with hybrid recommender algorithms that combine Collaborative Filtering and Content-based Filtering to recommend research papers to users. Our hybrid algorithms combine the strengths of each filtering approach to address their individual weaknesses. We evaluated our algorithms through offline experiments on a database of 102,000 research papers, and through an online experiment with 110 users. For both experiments we used a dataset created from the CiteSeer repository of computer science research papers. We developed separate English and Portuguese versions of the interface and specifically recruited American and Brazilian users to test for cross-cultural effects. Our results show that users value paper recommendations, that the hybrid algorithms can be successfully combined, that different algorithms are more suitable for recommending different kinds of papers, and that users with different levels of experience perceive recommendations differently. These results can be applied to develop recommender systems for other types of digital libraries. Enhancing Digital Libraries with TechLens+ Roberto Torres Sean Mcnee Mara Abel Joseph Konstan John Riedl International Conference on Digital Libraries,Proceedings of the 4th ACM/IEEE-CS joint conference on Digital libraries (2004), pp. 228-236. 2005-11-01T21:29:27-00:00 2004 International Conference on Digital Libraries,Proceedings of the 4th ACM/IEEE-CS joint conference on Digital libraries 228 236 academic-reference digital-library personalization recommender http://www.citeulike.org/user/brusilovsky/article/397741 <i>Journal of the American Society for Information Science and Technology, Vol. 54, No. 6. (25 February 2003), pp. 529-549.</i><br /><br />In this paper, we present five user experiments on incorporating behavioral information into the relevance feedback process. In particular, we concentrate on ranking terms for query expansion and selecting new terms to add to the user's query. Our experiments are an attempt to widen the evidence used for relevance feedback from simply the relevant documents to include information on how users are searching. We show that this information can lead to more successful relevance feedback techniques. We also show that the presentation of relevance feedback to the user is important in the success of relevance feedback. Incorporating user search behavior into relevance feedback Ian Ruthven Mounia Lalmas Keith van Rijsbergen doi:10.1002/asi.10240 Journal of the American Society for Information Science and Technology, Vol. 54, No. 6. (25 February 2003), pp. 529-549. 2005-11-17T00:59:08-00:00 2003 Journal of the American Society for Information Science and Technology 1532-2890 54 6 529 549 adaptive-search user-study http://www.citeulike.org/user/brusilovsky/article/380030 <i>(2002), pp. 558-565.</i> Personalized web search by mapping user queries to categories Fang Liu Clement Yu Weiyi Meng doi:10.1145/584792.584884 (2002), pp. 558-565. 2005-11-04T05:31:43-00:00 2002 558 565 ACM Press adaptive-search adaptive-web user-profile http://www.citeulike.org/user/brusilovsky/article/376720 <i>(2005), pp. 449-456.</i> Personalizing search via automated analysis of interests and activities Jaime Teevan Susan Dumais Eric Horvitz doi:10.1145/1076034.1076111 (2005), pp. 449-456. 2005-11-02T06:36:22-00:00 2005 449 456 ACM Press adaptive-search user-study http://www.citeulike.org/user/brusilovsky/article/409021 <i>(2005), pp. 17-19.</i> NusEye: designing for social navigation in syndicated content Azzari Jarrett Brian Dennis doi:10.1145/1095242.1095250 (2005), pp. 17-19. 2005-11-25T23:50:10-00:00 2005 17 19 ACM Press news social-navigation http://www.citeulike.org/user/brusilovsky/article/685342 <i>(2004)</i><br /><br />Current search technologies work in "one size fits all" fashion. Therefore, the answer to a query is independent of specific user information need. In this paper, we describe a novel ranking technique for personalized search services that combines content-based and community-based evidences. The community-based information is used in order to provide context for queries and is influenced by the current interaction of the user with the service. Our algorithm is evaluated using data derived from... A community-aware search engine R Almeida V Almeida (2004) 2006-06-05T22:50:42-00:00 2004 adaptive-search social-navigation http://www.citeulike.org/user/brusilovsky/article/685333 <i>(2002)</i><br /><br />Recent advances in graph-based search techniques derived from Kleinberg's work [1] have been impressive. This paper further improves the graph-based search algo- rithm in two dimensions. Firstly, variants of Kleinberg's techniques do not take into account the semantics of the query string nor of the nodes being searched. As a result, polysemy of query words cannot be resolved. This paper presents an interactive query scheme utilizing the simple web ontology provided by the Open Directory... Persona: A contextualized and personalized Web search F Tanudjaja L Mui (2002) 2006-06-05T22:41:19-00:00 2002 adaptive-search adaptive-web user-profile http://www.citeulike.org/user/brusilovsky/article/334475 <i>(31 January 2003)</i><br /><br />This volume provides a thoroughly up-to-date guide to the use of the Social Navigation approach in designing information spaces. The first part focuses on real life systems such as Kalas, GeoNotes and Babble, and examines the rationale for some of the design choices made. The second part takes a detailed look at the underlying principles and ideas that drive the field. Overall this book aims to provide the reader with a wealth of example systems, concepts and practical ideas to help them get the most out of this important new approach. Designing Information Spaces: The Social Navigation Approach will mainly be of interest to anyone designing collaborative information spaces or web sites. It will also be useful for anyone studying or researching topics such as HCI, virtual environments, user interfaces and information retrieval. Designing Information Spaces: The Social Navigation Approach Kristina Höök (31 January 2003) 2005-09-29T01:16:07-00:00 2003 Springer social-navigation http://www.citeulike.org/user/brusilovsky/article/2688323 <i>(2008), pp. 1493-1496.</i><br /><br />There is a lack of widely-accepted metrics for evaluating analysts' experiences with interactive visualizations (IV) for information analysis. We report an approach for developing analyst-centered IV metrics that is built upon understanding the workplace needs and experiences of information analysts with respect to IVs. We derive metrics from human-computer interaction heuristics, specializing the metrics to address the characteristics of IVs and analysts. When there are no existing heuristics, analysts' needs and experiences inform new heuristics. Metrics for measuring human interaction with interactive visualizations for information analysis Theresa O'Connell Yee-Yin Choong doi:10.1145/1357054.1357287 (2008), pp. 1493-1496. 2008-04-18T16:32:01-00:00 2008 1493 1496 ACM en evaluation information-analysis information-visualization http://www.citeulike.org/user/brusilovsky/article/2686491 <i>(2008), pp. 1353-1356.</i><br /><br />Faceted browsing is a promising way to incrementally refine data sets. Current approaches do not scale well in terms of screen size and have shortcomings in interacting with hierarchical facets. This paper introduces FacetZoom, a novel multi-scale widget combining facet browsing with zoomable user interfaces. Hierarchical facets are displayed as space-filling widgets which allow a fast traversal across all levels while simultaneously maintaining context. We contribute both a seamless continuous navigation and a quick tap-and-center interaction. Two prototypes are described which successfully apply the space-structuring widget to continuous, sampled data and an information collection. A formative user study of the latter indicates that the interface scales well to small screens. FacetZoom is versatile and offers consistent searching and browsing behaviors in a multitude of applications and device settings. FacetZoom: a continuous multi-scale widget for navigating hierarchical metadata Raimund Dachselt Mathias Frisch Markus Weiland doi:10.1145/1357054.1357265 (2008), pp. 1353-1356. 2008-04-18T05:56:35-00:00 2008 1353 1356 ACM dlpaws en faceted-search information-exploration jlpaws http://www.citeulike.org/user/brusilovsky/article/2931483 <i>(2008), pp. 1207-1216.</i><br /><br />Current user interfaces for Web search, including browsers and search engine sites, typically treat search as a transient activity. However, people often conduct complex, multi-query investigations that may span long durations and may be interrupted by other tasks. In this paper, we first present the results of a survey of users' search habits, which show that many search tasks span long periods of time. We then introduce SearchBar, a system for proactively and persistently storing query histories, browsing histories, and users' notes and ratings in an interrelated fashion. SearchBar supports multi-session investigations by assisting with task context resumption and information re-finding. We describe a user study comparing use of SearchBar to status-quo tools such as browser histories, and discuss our findings, which show that users find SearchBar valuable for task reacquisition. Our study also reveals the strategies employed by users of status-quo tools for handling multi-query, multi-session search tasks. SearchBar: a search-centric web history for task resumption and information re-finding Dan Morris Meredith Morris Gina Venolia doi:10.1145/1357054.1357242 (2008), pp. 1207-1216. 2008-06-26T17:22:44-00:00 2008 1207 1216 ACM en information-exploration japaws user-profile www-search http://www.citeulike.org/user/brusilovsky/article/2719604 <i>(2008), pp. 999-1008.</i> What to do when search fails: finding information by association Duen Chau Brad Myers Andrew Faulring doi:10.1145/1357054.1357208 (2008), pp. 999-1008. 2008-04-25T22:27:41-00:00 2008 999 1008 ACM information-access personal-information-management http://www.citeulike.org/user/brusilovsky/article/2905733 <i>(2007), pp. 445-454.</i><br /><br />This paper describes Koru, a new search interface that offers effective domain-independent knowledge-based information retrieval. Koru exhibits an understanding of the topics of both queries and documents. This allows it to (a) expand queries automatically and (b) help guide the user as they evolve their queries interactively. Its understanding is mined from the vast investment of manual effort and judgment that is Wikipedia. We show how this open, constantly evolving encyclopedia can yield inexpensive knowledge structures that are specifically tailored to expose the topics, terminology and semantics of individual document collections. We conducted a detailed user study with 12 participants and 10 topics from the 2005 TREC HARD track, and found that Koru and its underlying knowledge base offers significant advantages over traditional keyword search. It was capable of lending assistance to almost every query issued to it; making their entry more efficient, improving the relevance of the documents they return, and narrowing the gap between expert and novice seekers. A knowledge-based search engine powered by wikipedia David Milne Ian Witten David Nichols doi:10.1145/1321440.1321504 (2007), pp. 445-454. 2008-06-18T15:33:19-00:00 2007 445 454 ACM information-retrieval wikipedia www-search http://www.citeulike.org/user/brusilovsky/article/2761601 <i>ACM Trans. Interet Technol., Vol. 7, No. 4. (October 2007)</i><br /><br />This article addresses search engine personalization. We present a new approach to mining a user's preferences on the search results from clickthrough data and using the discovered preferences to adapt the search engine's ranking function for improving search quality. We develop a new preference mining technique called SpyNB, which is based on the practical assumption that the search results clicked on by the user reflect the user's preferences but does not draw any conclusions about the results that the user did not click on. As such, SpyNB is still valid even if the user does not follow any order in reading the search results or does not click on all relevant results. Our extensive offline experiments demonstrate that SpyNB discovers many more accurate preferences than existing algorithms do. The interactive online experiments further confirm that SpyNB and our personalization approach are effective in practice. We also show that the efficiency of SpyNB is comparable to existing simple preference mining algorithms. Mining User preference using Spy voting for search engine personalization Wilfred Ng Lin Deng Dik Lee doi:10.1145/1278366.1278368 ACM Trans. Interet Technol., Vol. 7, No. 4. (October 2007) 2008-05-06T14:43:39-00:00 2007 ACM Trans. Interet Technol. 1533-5399 7 4 ACM adaptive-search en http://www.citeulike.org/user/brusilovsky/article/2021214 <i>Comput. Educ., Vol. 49, No. 4. (December 2007), pp. 1308-1320.</i> Online annotation - Research and practices Ian Glover Zhijie Xu Glenn Hardaker doi:10.1016/j.compedu.2006.02.006 Comput. Educ., Vol. 49, No. 4. (December 2007), pp. 1308-1320. 2007-11-30T02:16:24-00:00 2007 Comput. Educ. 0360-1315 49 4 1308 1320 Elsevier Science Ltd. annotation e-learning