Sun, 27 Jul 2008 06:22:49 BST CiteULike: brusilovsky's library [446 articles] http://www.citeulike.org/user/brusilovsky CiteULike.org en-gb Copyright © 2004-2008 citeulike.org http://www.citeulike.org/user/brusilovsky/article/1317968 <i>Artificial Intelligence Review, Vol. 10, No. 5-6. (1996), pp. 381-407.</i><br /><br />This paper addresses the notion of aboutness in information retrieval. First, an exposition is given on how aboutness relates to relevance - a fundamental notion in information retrieval. A short summary is given on how aboutness is defined in more prominent information retrieval models. A model-theoretic definition of aboutness is then analyzed in an abstract setting using so called information fields. These allows properties of aboutness to be expressed independent of any given information... A Study of Aboutness in Information Retrieval Peter Bruza TWC Huibers Artificial Intelligence Review, Vol. 10, No. 5-6. (1996), pp. 381-407. 2007-05-21T15:50:17-00:00 1996 Artificial Intelligence Review 10 5-6 381 407 aboutness http://www.citeulike.org/user/brusilovsky/article/2868085 <i>(2007), pp. 3-12.</i> SearchTogether: an interface for collaborative web search Meredith Morris Eric Horvitz doi:10.1145/1294211.1294215 (2007), pp. 3-12. 2008-06-06T00:35:06-00:00 2007 3 12 ACM collaborative-search cscw www-search http://www.citeulike.org/user/brusilovsky/article/2642081 <i>(2003), pp. 101-112.</i> Identifying Useful Passages in Documents based on Annotation Patterns FM Shipman MN Price CC Marshall G Golovchinsky (2003), pp. 101-112. 2008-04-08T16:26:30-00:00 2003 101 112 annotation 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/2932055 <i>(2008), pp. 1779-1788.</i><br /><br />Existing e-book readers do not do a good job supporting many reading tasks that people perform, as ethnographers report that when reading, people frequently read from multiple display surfaces. In this paper we present our design of a dual display e-book reader and explore how it can be used to interact with electronic documents. Our design supports embodied interactions like folding, flipping, and fanning for local/lightweight navigation. We also show how mechanisms like Space Filling Thumbnails can use the increased display space to aid global navigation. Lastly, the detachable faces in our design can facilitate inter-document operations and flexible layout of documents in the workspace. Semi-directed interviews with seven users found that dual-displays have the potential to improve the reading experience by supporting several local navigation tasks better than a single display device. Users also identified many reading tasks for which the device would be valuable. Users did not find the embodied interface particularly useful when reading in our controlled lab setting, however. Navigation techniques for dual-display e-book readers Nicholas Chen Francois Guimbretiere Morgan Dixon Cassandra Lewis Maneesh Agrawala doi:10.1145/1357054.1357331 (2008), pp. 1779-1788. 2008-06-26T19:57:35-00:00 2008 1779 1788 ACM electronic-textbook navigation http://www.citeulike.org/user/brusilovsky/article/2932014 <i>(2008), pp. 1729-1738.</i><br /><br />Information awareness applications offer the exciting potential to help people to better manage the data they encounter on a routine basis, but customizing these applications is a difficult task. Most applications allow users to perform basic customizations or programmers to create advanced ones. We present an intermediate customization space and Cocoa Buzz, an application that demonstrates one way to bridge these two extremes. Cocoa Buzz runs on an extra display on the user's desktop or on a large shared display and cycles through different information sources customized by the user. We further demonstrate some of the customizations that have been made using this approach. We show some preliminary evidence to suggest that this approach may be useful at providing users with the ability to perform customizations across this spectrum. The buzz: supporting user tailorability in awareness applications James Eagan John Stasko doi:10.1145/1357054.1357324 (2008), pp. 1729-1738. 2008-06-26T19:41:05-00:00 2008 1729 1738 ACM adaptability awareness http://www.citeulike.org/user/brusilovsky/article/2752921 <i>(2008), pp. 1657-1660.</i> A survey of collaborative web search practices Meredith Morris doi:10.1145/1357054.1357312 (2008), pp. 1657-1660. 2008-05-04T06:26:04-00:00 2008 1657 1660 ACM empirical-study social-search 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/2931904 <i>(2008), pp. 1497-1500.</i> On the benefits of confidence visualization in speech recognition Keith Vertanen Per Kristensson doi:10.1145/1357054.1357288 (2008), pp. 1497-1500. 2008-06-26T18:15:10-00:00 2008 1497 1500 ACM speech-recognition 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/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/2931514 <i>(2008), pp. 1267-1270.</i><br /><br />Coarse-grained approaches to customization allow the user to enable or disable groups of features at once, rather than individual features. While this may reduce the complexity of customization and encourage more users to customize, the research challenges of designing such approaches have not been fully explored. To address this limitation, we conducted an interview study with 14 professional software developers who use an integrated development environment that provides a role-based, coarse-grained approach to customization. We identify challenges of designing coarse-grained customization models, including issues of functionality partitioning, presentation, and individual differences. These findings highlight potentially critical design choices, and provide direction for future work. Evaluation of a role-based approach for customizing a complex development environment Leah Findlater Joanna Mcgrenere David Modjeska doi:10.1145/1357054.1357251 (2008), pp. 1267-1270. 2008-06-26T17:44:52-00:00 2008 1267 1270 ACM adaptability adaptive-interface empirical-study 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/2931500 <i>(2008), pp. 1217-1226.</i><br /><br />To design information visualization tools for collaborative use, we need to understand how teams engage with visualizations during their information analysis process. We report on an exploratory study of individuals, pairs, and triples engaged in information analysis tasks using paper-based visualizations. From our study results, we derive a framework that captures the analysis activities of co-located teams and individuals. Comparing this framework with existing models of the information analysis process suggests that information visualization tools may benefit from providing a flexible temporal flow of analysis actions. An exploratory study of visual information analysis Petra Isenberg Anthony Tang Sheelagh Carpendale doi:10.1145/1357054.1357245 (2008), pp. 1217-1226. 2008-06-26T17:31:34-00:00 2008 1217 1226 ACM empirical-study information-analysis information-visualization http://www.citeulike.org/user/brusilovsky/article/2931496 <i>(2008), pp. 1187-1196.</i><br /><br />Users are now performing more sophisticated web tasks. In this work, we explore web tasks that require multiple web sessions to complete (multi-session tasks) to satisfy a goal. We conducted a web-based diary study and a field study that used a customized version of Firefox which logged the participants' interactions for multi-session tasks and all their web activity. We found that multi-session tasks occur frequently and that users utilize a variety of browser tools and actions to help complete these tasks. Exploring multi-session web tasks Bonnie Kay Carolyn Watters doi:10.1145/1357054.1357243 (2008), pp. 1187-1196. 2008-06-26T17:29:07-00:00 2008 1187 1196 ACM empirical-study information-exploration www-search 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/2719627 <i>(2008), pp. 1197-1206.</i><br /><br />Our work examines Web revisitation patterns. Everybody revisits Web pages, but their reasons for doing so can differ depending on the particular Web page, their topic of interest, and their intent. To characterize how people revisit Web content, we analyzed five weeks of Web interaction logs of over 612,000 users. We supplemented these findings by a survey intended to identify the intent behind the observed revisitation. Our analysis reveals four primary revisitation patterns, each with unique behavioral, content, and structural characteristics. Through our analysis we illustrate how understanding revisitation patterns can enable Web sites to provide improved navigation, Web browsers to predict users' destinations, and search engines to better support fast, fresh, and effective finding and re-finding. Large scale analysis of web revisitation patterns Eytan Adar Jaime Teevan Susan Dumais doi:10.1145/1357054.1357241 (2008), pp. 1197-1206. 2008-04-25T22:33:40-00:00 2008 1197 1206 ACM empirical-study www-search http://www.citeulike.org/user/brusilovsky/article/2686476 <i>(2008), pp. 1097-1100.</i><br /><br />We examine tagging behavior on Flickr, a public photo-sharing website. We build on previous qualitative research that exposed a taxonomy of tagging motivations, as well as on social presence research. The motivation taxonomy suggests that motivations for tagging are tied to the intended target audience of the tags --- the users themselves, family and friends, or the general public. Using multiple data sources, including a survey and independent system data, we examine which motivations are associated with tagging level, and estimate the magnitude of their contribution. We find that the levels of the Self and Public motivations, together with social presence indicators, are positively correlated with tagging level; Family & Friends motivations are not significantly correlated with tagging. The findings and the use of survey method carry implications for designers of tagging and other social systems on the web. What drives content tagging: the case of photos on Flickr Oded Nov Mor Naaman Chen Ye doi:10.1145/1357054.1357225 (2008), pp. 1097-1100. 2008-04-18T05:46:10-00:00 2008 1097 1100 ACM social-web tagging web_20 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/2931383 <i>(2008), pp. 1075-1084.</i><br /><br />An important question for HCI is to understand how and why visual search strategy is adapted to the demands imposed by the task of searching the results of a search engine. There is emerging evidence that a key part of the answer concerns the expected information gain of each of the set of available information gathering actions. We build on previous research to show that people are acutely sensitive to differences in the spacing and in the number of items returned by the search engine. These factors cause shifts in the efficiency of the available information gathering actions. We focus on an image browsing task, and show that, as a consequence of changes to the efficiency of available actions, people make small but significant changes to eye-movement strategy. The adaptation of visual search strategy to expected information gain Yuan-Chi Tseng Andrew Howes doi:10.1145/1357054.1357221 (2008), pp. 1075-1084. 2008-06-26T16:05:15-00:00 2008 1075 1084 ACM eye-tracking information-retrieval http://www.citeulike.org/user/brusilovsky/article/2854840 <i>(2008), pp. 1041-1044.</i><br /><br />Social tagging systems provide users with the opportunity to employ tags in a communicative manner. To explore the use of tags for communication in these systems, we report results from 33 user interviews and employ the concept of social roles to describe audience-oriented tagging, including roles of community-seeker, community-builder, evangelist, publisher, and team-leader. These roles contribute to our understanding of the motivations and rationales behind social tagging in an international company, and suggest new features and services to support social software in the enterprise. Social tagging roles: publishers, evangelists, leaders Jennifer Thom-Santelli Michael Muller David Millen doi:10.1145/1357054.1357215 (2008), pp. 1041-1044. 2008-06-01T13:57:07-00:00 2008 1041 1044 ACM social-web tagging web_20 http://www.citeulike.org/user/brusilovsky/article/2931368 <i>(2008), pp. 1017-1026.</i><br /><br />Web 2.0 gives people a substantial role in content and metadata creation. New interpersonal connections are formed and existing connections become evident through Web 2.0 services. This newly created social network (SN) spans across multiple services and aggregating it could bring great value. In this work we present SONAR, an API for gathering and sharing SN information. We give a detailed description of SONAR, demonstrate its potential value through user scenarios, and show results from experiments we conducted with a SONAR-based social networking application. These suggest that aggregating SN information across diverse data sources enriches the SN picture and makes it more complete and useful for the end user. Harvesting with SONAR: the value of aggregating social network information Ido Guy Michal Jacovi Elad Shahar Noga Meshulam Vladimir Soroka Stephen Farrell doi:10.1145/1357054.1357212 (2008), pp. 1017-1026. 2008-06-26T15:53:35-00:00 2008 1017 1026 ACM social-network web_20 http://www.citeulike.org/user/brusilovsky/article/2931352 <i>(2008), pp. 1013-1016.</i><br /><br />Entering search terms on mobile phones is a time consuming and cumbersome task. In this paper, we explore the usage patterns of query entry interfaces that display suggestions. Our primary goal is to build a usage model of query suggestions in order to provide user interface guidelines for mobile text prediction interfaces. We find that users who were asked to enter queries on a search interface with query suggestions rated their workload lower and their enjoyment higher. They also saved, on average, approximately half of the key presses compared to users who were not shown suggestions, despite no associated decrease in time to enter a query. Surprisingly, users also accepted suggestions when the process of doing so resulted in an increase in the number of total key presses. Query suggestions for mobile search: understanding usage patterns Maryam Kamvar Shumeet Baluja doi:10.1145/1357054.1357210 (2008), pp. 1013-1016. 2008-06-26T15:46:23-00:00 2008 1013 1016 ACM information-retrieval mobile-computing 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/2931318 <i>(2008), pp. 497-506.</i> From awareness to repartee: sharing location within social groups Louise Barkhuus Barry Brown Marek Bell Scott Sherwood Malcolm Hall Matthew Chalmers doi:10.1145/1357054.1357134 (2008), pp. 497-506. 2008-06-26T15:25:34-00:00 2008 497 506 ACM community mobile-computing http://www.citeulike.org/user/brusilovsky/article/2686454 <i>(2008), pp. 453-456.</i> Crowdsourcing user studies with Mechanical Turk Aniket Kittur Ed Chi Bongwon Suh doi:10.1145/1357054.1357127 (2008), pp. 453-456. 2008-04-18T05:31:13-00:00 2008 453 456 ACM empirical-study www http://www.citeulike.org/user/brusilovsky/article/2931259 <i>(2008), pp. 275-284.</i> Your place or mine?: visualization as a community component Catalina Danis Fernanda Viegas Martin Wattenberg Jesse Kriss doi:10.1145/1357054.1357102 (2008), pp. 275-284. 2008-06-26T15:06:12-00:00 2008 275 284 ACM community visualization http://www.citeulike.org/user/brusilovsky/article/2931231 <i>(2008), pp. 563-572.</i> Results from deploying a participation incentive mechanism within the enterprise Rosta Farzan Joan Dimicco David Millen Casey Dugan Werner Geyer Elizabeth Brownholtz doi:10.1145/1357054.1357145 (2008), pp. 563-572. 2008-06-26T14:50:13-00:00 2008 563 572 ACM community community-contribution en motivation http://www.citeulike.org/user/brusilovsky/article/2860014 <i>(2008), pp. 1647-1656.</i><br /><br />Web search is often viewed as a solitary task; however, there are many situations in which groups of people gather around a single computer to jointly search for information online. We present the findings of interviews with teachers, librarians, and developing world researchers that provide details about users’ collaborative search habits in shared CoSearch: a system for co-located collaborative web search Saleema Amershi Meredith Morris doi:10.1145/1357054.1357311 (2008), pp. 1647-1656. 2008-06-03T22:54:28-00:00 2008 1647 1656 ACM cscw social-search 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/2902688 <i>(2007), pp. 377-386.</i><br /><br />Monitoring occurs when users return to previously viewed web pages to view new or updated information. While tools exist to support web-based monitoring, we know little about the monitoring activities users engage in and the nature of the support needed. We have conducted 40 semi-structured interviews in order to better understand the types of information users monitor and the characteristics of different monitoring activities. Using the data collected during the interviews, we characterized monitoring as an activity within six web information tasks: Browsing, Communications, Fact Finding, Information Gathering, Maintenance, and Transactions. The results of our study have been used to provide general, as well as task specific, recommendations for the design of monitoring tools. An exploration of web-based monitoring: implications for design Melanie Kellar Carolyn Watters Kori Inkpen doi:10.1145/1240624.1240686 (2007), pp. 377-386. 2008-06-17T15:15:01-00:00 2007 377 386 ACM empirical-study information-access www 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/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/1457844 <i>(2007), pp. 442-451.</i> Effects of structure and interaction style on distinct search tasks Robert Capra Gary Marchionini Jung Oh Fred Stutzman Yan Zhang doi:10.1145/1255175.1255267 (2007), pp. 442-451. 2007-07-15T17:13:13-00:00 2007 442 451 ACM Press dlpaws empirical-study faceted-search navigation http://www.citeulike.org/user/brusilovsky/article/2682613 <i>(2007), pp. 417-418.</i> Recommending related papers based on digital library access records Stefan Pohl Filip Radlinski Thorsten Joachims doi:10.1145/1255175.1255260 (2007), pp. 417-418. 2008-04-17T15:53:00-00:00 2007 417 418 ACM academic-reference collaborative-filtering dlpaws log-mining http://www.citeulike.org/user/brusilovsky/article/2682596 <i>(2007), pp. 438-439.</i> UpdateNews: a news clustering and summarization system using efficient text processing Takaharu Takeda Atsuhiro Takasu doi:10.1145/1255175.1255264 (2007), pp. 438-439. 2008-04-17T15:48:02-00:00 2007 438 439 ACM news summarization http://www.citeulike.org/user/brusilovsky/article/703382 <i>(2001), pp. 250-257.</i><br /><br />Link-based ranking methods have been described in the literature and applied in commercial Web search engines. However, according to recent TREC experiments, they are no better than traditional content-based methods. We conduct a different type of experiment, in which the task is to find the main entry point of a specific Web site. In our experiments, ranking based on link anchor text is twice as effective as ranking based on document content, even though both methods used the same BM25 formula. We obtained these results using two sets of 100 queries on a 18.5 million document set and another set of 100 on a 0.4 million document set. This site finding effectiveness begins to explain why many search engines have adopted link methods. It also opens a rich new area for effectiveness improvement, where traditional methods fail. Effective site finding using link anchor information Nick Craswell David Hawking Stephen Robertson doi:10.1145/383952.383999 (2001), pp. 250-257. 2006-06-20T15:42:12-00:00 2001 250 257 ACM Press information-retrieval social-search 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/1507451 <i>Science, Vol. 317, No. 5837. (27 July 2007), pp. 472-476.</i><br /><br />Online virtual worlds, electronic environments where people can work and interact in a somewhat realistic manner, have great potential as sites for research in the social, behavioral, and economic sciences, as well as in human-centered computer science. This article uses Second Life and World of Warcraft as two very different examples of current virtual worlds that foreshadow future developments, introducing a number of research methodologies that scientists are now exploring, including formal experimentation, observational ethnography, and quantitative analysis of economic markets or social networks. 10.1126/science.1146930 The Scientific Research Potential of Virtual Worlds William Bainbridge doi:10.1126/science.1146930 Science, Vol. 317, No. 5837. (27 July 2007), pp. 472-476. 2007-07-27T16:38:13-00:00 2007 Science 317 5837 472 476 virtual-world http://www.citeulike.org/user/brusilovsky/article/1002166 <i>(2006), pp. 3-10.</i><br /><br />Evaluating user preferences of web search results is crucial for search engine development, deployment, and maintenance. We present a real-world study of modeling the behavior of web search users to predict web search result preferences. Accurate modeling and interpretation of user behavior has important applications to ranking, click spam detection, web search personalization, and other tasks. Our key insight to improving robustness of interpreting implicit feedback is to model query-dependent deviations from the expected "noisy" user behavior. We show that our model of clickthrough interpretation improves prediction accuracy over state-of-the-art clickthrough methods. We generalize our approach to model user behavior beyond clickthrough, which results in higher preference prediction accuracy than models based on clickthrough information alone. We report results of a large-scale experimental evaluation that show substantial improvements over published implicit feedback interpretation methods. Learning user interaction models for predicting web search result preferences Eugene Agichtein Eric Brill Susan Dumais Robert Ragno doi:10.1145/1148170.1148175 (2006), pp. 3-10. 2006-12-19T18:38:47-00:00 2006 3 10 ACM Press en information-retrieval user-profile http://www.citeulike.org/user/brusilovsky/article/278103 <i>(1995), pp. 210-217.</i> Social information filtering: algorithms for automating "word of mouth" Upendra Shardanand Pattie Maes doi:10.1145/223904.223931 (1995), pp. 210-217. 2005-08-10T18:07:44-00:00 1995 210 217 ACM Press/Addison-Wesley Publishing Co. collaborative-filtering social-navigation http://www.citeulike.org/user/brusilovsky/article/2611574 <i>(2006), pp. 1050-1057.</i> Content-based music filtering system with editable user profile Yoshinori Hijikata Kazuhiro Iwahama Shogo Nishida doi:10.1145/1141277.1141526 (2006), pp. 1050-1057. 2008-03-30T02:56:10-00:00 2006 1050 1057 ACM en recommender user-profile http://www.citeulike.org/user/brusilovsky/article/2582833 <i>(2005), pp. 293-304.</i> A Location Aware Mobile Tourist Guide Selecting and Interpreting Sights and Services by Context Matching Klaus Hagen Marko Modsching Ronny Kramer doi:10.1109/MOBIQUITOUS.2005.4 (2005), pp. 293-304. 2008-03-24T21:29:50-00:00 2005 293 304 IEEE Computer Society agents context mobile-computing http://www.citeulike.org/user/brusilovsky/article/2582828 <i>(2005), pp. 107-114.</i> Augmenting audio messages with visual directions in mobile guides: an evaluation of three approaches Luca Chittaro Stefano Burigat doi:10.1145/1085777.1085795 (2005), pp. 107-114. 2008-03-24T21:25:44-00:00 2005 107 114 ACM map mobile-computing mobile-guide http://www.citeulike.org/user/brusilovsky/article/2582819 <i>(2006), pp. 239-246.</i> Visualizing locations of off-screen objects on mobile devices: a comparative evaluation of three approaches Stefano Burigat Luca Chittaro Silvia Gabrielli doi:10.1145/1152215.1152266 (2006), pp. 239-246. 2008-03-24T21:21:20-00:00 2006 239 246 ACM map mobile-computing mobile-guide http://www.citeulike.org/user/brusilovsky/article/105595 <i>(01 April 2003)</i><br /><br />A cocktail party. A terrorist cell. Ancient bacteria. An international conglomerate. <br><br> All are networks, and all are a part of a surprising scientific revolution. Albert-L&aacuteszl&oacute Barab&aacutesi, the nation's foremost expert in the new science of networks, takes us on an intellectual adventure to prove that social networks, corporations, and living organisms are more similar than previously thought. Grasping a full understanding of network science will someday allow us to design blue-chip businesses, stop the outbreak of deadly diseases, and influence the exchange of ideas and information. Just as James Gleick brought the discovery of chaos theory to the general public, Linked tells the story of the true science of the future. Linked: How Everything Is Connected to Everything Else and What It Means for Business, Science, and Everyday Life Albert-Laszlo Barabasi (01 April 2003) 2005-02-27T02:19:34-00:00 2003 Plume Books social-network http://www.citeulike.org/user/brusilovsky/article/2537899 <i>Neural Networks Proceedings, 1998. IEEE World Congress on Computational Intelligence. The 1998 IEEE International Joint Conference on, Vol. 1 (1998), pp. 183-188 vol.1.</i><br /><br />Personalized information systems represent the recent effort of delivering information to users more effectively in the modern electronic age. This paper illustrates how a supervised adaptive resonance theory (ART) system, called fuzzy ARAM (adaptive resonance associative map), can be used to learn user profiles for personalized information dissemination. ARAM learning is online, fast, and incremental. Acquisition of new knowledge does not require re-training on previously learned cases. ARAM integrates both user-defined and system-learned knowledge in a single framework. Therefore inconsistency between the two knowledge sources will not arise. ARAM has been used to develop a personalized news system (PIN). Preliminary experiments have verified that PIN is able to provide personalized news by adapting to user's interests in an online manner and generalizing them to new information on-the-fly Learning user profiles for personalized information dissemination Ah-Hwee Tan C Teo doi:10.1109/IJCNN.1998.682259 Neural Networks Proceedings, 1998. IEEE World Congress on Computational Intelligence. The 1998 IEEE International Joint Conference on, Vol. 1 (1998), pp. 183-188 vol.1. 2008-03-15T21:54:29-00:00 1998 Neural Networks Proceedings, 1998. IEEE World Congress on Computational Intelligence. The 1998 IEEE International Joint Conference on 1 183 188 vol.1 neural-network personalization user-profile http://www.citeulike.org/user/brusilovsky/article/2527086 <i>J. Educ. Resour. Comput., Vol. 6, No. 1. (March 2006)</i> Moving digital libraries into the student learning space: The GetSmart experience Byron Marshall Hsinchun Chen Rao Shen Edward Fox doi:10.1145/1217862.1217864 J. Educ. Resour. Comput., Vol. 6, No. 1. (March 2006) 2008-03-13T14:29:45-00:00 2006 J. Educ. Resour. Comput. 1531-4278 6 1 ACM concept-map digital-library