Index Catalog // ScholarsArchive@OSU

Click data as implicit feedback in web search

Creator:: Jung, Seikyung, Herlocker, Jonathan L., and Webster, Janet G.
Abstract:: Search sessions consist of a person presenting a query to a search engine, followed by that person examining the search results, selecting some of those search results for further review, possibly following some series of hyperlinks, and perhaps backtracking to previously viewed pages in the session. The series of pages...
Resource Type:: Article
Full Text:: search Seikyung Jung a,*, Jonathan L. Herlocker a, Janet Webster b a School of Electrical Engineering

Collaborative Filtering: A New Approach to Searching Digital Libraries

Creator:: Webster, Janet G., Jung, Seikyung, and Herlocker, Jonathan L.
Abstract:: At Oregon State University (OSU), the School of Electrical Engineering and Computer Science (EECS) and the OSU Libraries are working together on a project to improve the effectiveness and accessibility of digital information created and collected by academic libraries. This project focuses on making digital resources more accessible through an...
Resource Type:: Article
Full Text:: APPROACH TO SEARCHING DIGITAL LIBRARIES Janet Webster, Seikyung Jung and Jon Herlocker At Oregon State

SERF: integrating human recommendations with search

Creator:: Jung, Seikyung, Harris, Kevin, Webster, Janet G., and Herlocker, Jonathan L.
Abstract:: 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...
Resource Type:: Conference Proceeding
Full Text:: Recommendations with Search Seikyung Jung1, Kevin Harris1, Janet Webster2 and Jonathan L. Herlocker1

Collaborative filtering: possibilities for libraries

Creator:: Webster, Janet G., Herlocker, Jonathan L., Pennington-Lehman, Heather, and Jung, Seikyung
Abstract:: As librarians, we recognize that users seldom approach a research project with a clear search strategy and thus we develop means to help them clarify their research objectives. However, our traditional methods do not translate well to the web environment, while at the same time demand for web access increases....
Resource Type:: Conference Proceeding

Challenges and solutions for synthesis of knowledge regarding collaborative filtering algorithms

Creator:: Lowd, Daniel, Godde, Olivier, McLaughlin, Matthew, Nong, Shuzhen, Wang, Yun, and Herlocker, Jonathan L.
Abstract:: Collaborative filtering (CF)-based recommender systems predict what items a user will like or find useful based on the recommendations (active or implicit) of other members of a networked community. In spite of more than ten years of research, there is little consensus on state-of-the-art knowledge regarding CF predictive algorithms. There...
Resource Type:: Research Paper
Full Text:: ‡, Matthew McLaughlin, Shuzhen Nong, Yun Wang, and Jonathan L. Herlocker. School of Electrical

Collaborative filtering for digital libraries

Creator:: Oregon State University. Dept. of Computer Science, Herlocker, Jonathan Lee, Jung, Seikyung, and Webster, Janet G.
Abstract:: Can collaborative filtering be successfully applied to digital libraries in a manner that improves the effectiveness of the library? Collaborative filtering systems remove the limitation of traditional content-based search interfaces by using individuals to evaluate and recommend information. We introduce an approach where a digital library user specifies their need...
Resource Type:: Research Paper
Full Text:: , (pp. 43-52). 6. Dahlen, B. J., Konstan, J. A., Herlocker, J. L., Good, N., Borchers, A., Riedl, J

LibraryFind: System design and usability testing of academic metasearch system

Creator:: Jung, Seikyung, Webster, Janet, Mellinger, Margaret, Frumkin, Jeremy, and Herlocker, Jon L.
Abstract:: Using off-the-shelf search technology provides a single point of access into library resources, but we found that such commercial systems are not entirely satisfactory for the academic library setting. In response to this, Oregon State University (OSU) Libraries designed and deployed LibraryFind, a metasearch system. We conducted a usability experiment...
Resource Type:: Article
Full Text:: Jung*, Janet Webster**, Margaret Mellinger**, Jeremy Frumkin**, and Jonathan L. Herlocker

Browsing for information on the web and in the file system

Creator:: Seifert, Ethan, Stumpf, Simone, Herlocker, Jonathan Lee, Wynn, Eleanor H., and Oregon State University. Department of Computer Science
Abstract:: Browsing is one of the methods used for finding and refinding information on the web or in the file local system and there are opportunities to avoid this, particularly if that information is revisited frequently. We present empirical results from a field study contrasting patterns of browsing to local and...
Resource Type:: Technical Report
Full Text:: information on the web and in the file system Ethan Seifert, Simone Stumpf, Jonathan Herlocker EECS

Toward harnessing user feedback for machine learning

Creator:: Stumpf, Simone, Rajaram, Vidya, Li, Lida, Burnett, Margaret, 1949-, Dietterich, Thomas Glen, Sullivan, Erin, Drummond, Russell, and Herlocker, Jonathan Lee
Abstract:: There has been little research into how end users might be able to communicate advice to machine learning systems. If this resource--the users themselves--could somehow work hand-in-hand with machine learning systems, the accuracy of learning systems could be improved and the users' understanding and trust of the system could improve...
Resource Type:: Technical Report
Full Text:: Drummond, Jonathan Herlocker Oregon State University School of Electrical Engineering and Computer

Recovery from interruptions : knowledge workers' strategies, failures and envisioned solutions

Creator:: Oregon State University. Dept. of Computer Science, Stumpf, Simone, Burnett, Margaret, 1949-, Dietterich, Thomas Glen, Johnsrude, Kevin, and Herlocker, Jonathan Lee
Abstract:: This paper presents qualitative results from interviews with knowledge workers about their recovery strategies after interruptions. Special focus is given to when these strategies fail due to the nature of the interruption and existing computer support. Potential solutions offered by participants to overcome some of these problems are presented. These...
Resource Type:: Research Paper
Full Text:: , Jonathan Herlocker Oregon State University Corvallis, OR {stumpf, burnett, tgd, johnsrud, herlock

ScholarsArchive@OSU

Click data as implicit feedback in web search

Collaborative Filtering: A New Approach to Searching Digital Libraries

SERF: integrating human recommendations with search

Collaborative filtering: possibilities for libraries

Challenges and solutions for synthesis of knowledge regarding collaborative filtering algorithms

Collaborative filtering for digital libraries

LibraryFind: System design and usability testing of academic metasearch system

Browsing for information on the web and in the file system

Toward harnessing user feedback for machine learning

Recovery from interruptions : knowledge workers' strategies, failures and envisioned solutions

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