Search

Your search keyword '"Terveen, Loren"' showing total 3 results
Start Over Author "Terveen, Loren" Topic collaborative filtering
3 results on '"Terveen, Loren"'

1. Social Matching: A Framework and Research Agenda.

Author

Terveen, Loren and McDonald, David W.

Subjects
COMPUTER systems, ELECTRONIC systems, SYSTEMS design, SOCIAL interaction, SOCIAL sciences
Abstract

Social matching systems bring people together in both physical and online spaces. They have the potential to increase social interaction and foster collaboration. However, social matching systems lack a clear intellectual foundation: the nature of the design space, the key research challenges, and the roster of appropriate methods are all ill-defined. This article begins to remedy the situation. It clarifies the scope of social matching systems by distinguishing them from other recommender systems and related systems and techniques. It identifies a set of issues that characterize the design space of social matching systems and shows how existing systems explore different points within the design space. It also reviews selected social science results that can provide input into system design. Most important, the article presents a research agenda organized around a set of claims. The claims embody our understanding of what issues are most important to investigate, our beliefs about what is most likely to be true, and our suggestions of specific research directions to pursue. [ABSTRACT FROM AUTHOR]

Published
2005
Full Text
View/download PDF

2. Evaluating Collaborative Filtering Recommender Systems.

Author

Herlocker, Jonathan L., Konstan, Joseph A., Terveen, Loren G., and Riedl, John T.

Subjects
EVALUATION, RESEARCH, QUALITY, FORECASTING, ALGORITHMS, TASKS
Abstract

Recommender systems have been evaluated in many, often incomparable, ways. In this article, we review the key decisions in evaluating collaborative filtering recommender systems: the user tasks being evaluated, the types of analysis and datasets being used, the ways in which prediction quality is measured, the evaluation of prediction attributes other than quality and the user-based evaluation of the system as a whole. In addition to reviewing the evaluation strategies used by prior researchers, we present empirical results from the analysis of various accuracy metrics on one content domain where all the tested metrics collapsed roughly into three equivalence classes. Metrics within each equivalency class were strongly correlated, while metrics from different equivalency classes were uncorrelated. [ABSTRACT FROM AUTHOR]

Published
2004
Full Text
View/download PDF

3. User Interfaces for Topic Management of Web Sites

Author

Amento, Brian, Computer Science, Hix, Deborah S., Schulman, Robert S., Hartson, H. Rex, Terveen, Loren, and Ehrich, Roger W.

Subjects
computer-supported cooperative work, social filtering, social network analysis, Cocitation analysis, collaborative filtering, information visualization
Abstract

Topic management is the task of gathering, evaluating, organizing, and sharing a set of web sites for a specific topic. Current web tools do not provide adequate support for this task. We created and continue to develop the TopicShop system to address this need. TopicShop includes (1) a web crawler/analyzer that discovers relevant web sites and builds site profiles, and (2) user interfaces for information workspaces. We conducted an empirical pilot study comparing user performance with TopicShop vs. Yahooï . Results from this study were used to improve the design of TopicShop. A number of key design changes were incorporated into a second version of TopicShop based on results and user comments of the pilot study including (1) the tasks of evaluation and organization are treated as integral instead of separable, (2) spatial organization is important to users and must be well supported in the interface, and (3) distinct user and global datasets help users deal with the large quantity of information available on the web. A full empirical study using the second iteration of TopicShop covered more areas of the World Wide Web and validated results from the pilot study. Across the two studies, TopicShop subjects found over 80% more high-quality sites (where quality was determined by independent expert judgements) while browsing only 81% as many sites and completing their task in 89% of the time. The site profile data that TopicShop provide -- in particular, the number of pages on a site and the number of other sites that link to it -- were the key to these results, as users exploited them to identify the most promising sites quickly and easily. We also evaluated a number of link- and content-based algorithms using a dataset of web documents rated for quality by human topic experts. Link-based metrics did a good job of picking out high-quality items. Precision at 5 (the common information retrieval metric indicating the percentage of high quality items selected that are actually high quality) is about 0.75, and precision at 10 is about 0.55; this is in a dataset where 32% of all documents were of high quality. Surprisingly, a simple content-based metric, which ranked documents by the total number of pages on their containing site, performed nearly as well. These studies give insight into users' needs for the task of topic management, and provide empirical evidence of the effectiveness of task-specific interfaces (such as TopicShop) for managing topical collections. Ph. D.

Published
2001

Catalog

Books, media, physical & digital resources
See catalog results