Video recommendations for the open video project

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Video recommendations for the open video project

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International Conference on Digital Libraries archive
Proceedings of the 5th ACM/IEEE-CS joint conference on Digital libraries table of contents

Denver, CO, USA

POSTER SESSION: Posters table of contents

Pages: 369 - 369

Year of Publication: 2005

ISBN:1-58113-876-8

Authors

Johan Bollen	Los Alamos National Laboratory, Los Alamos, NM
Michael L. Nelson	Old Dominion University, Norfolk, VA
Raquel Araujo	Old Dominion University, Norfolk, VA
Gary Geisler	Simmons College, Boston, MA

Sponsors

ACM: Association for Computing Machinery
SIGIR: ACM Special Interest Group on Information Retrieval
SIGWEB: ACM Special Interest Group on Hypertext, Hypermedia, and Web

Publisher

ACM New York, NY, USA

Bibliometrics

Downloads (6 Weeks): 5, Downloads (12 Months): 25, Citation Count: 0

Additional Information:

abstract references index terms collaborative colleagues

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ABSTRACT

We describe a DL multimedia recommender system implemented for the Open Video project. Recommendations are generated by a spreading activation algorithm operating on a video network created from log download sequences. We compared the system's recommendations to those generated by a collaborative filtering technique.

REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

	1	Jonathan L. Herlocker , Joseph A. Konstan , Al Borchers , John Riedl, An algorithmic framework for performing collaborative filtering, Proceedings of the 22nd annual international ACM SIGIR conference on Research and development in information retrieval, p.230-237, August 15-19, 1999, Berkeley, California, United States [doi>10.1145/312624.312682]
	2	Gary Marchionini and Gary Geisler. The Open Video Digital Library. D-Lib Magazine, 8(12), December 2002.
	3	Badrul Sarwar , George Karypis , Joseph Konstan , John Reidl, Item-based collaborative filtering recommendation algorithms, Proceedings of the 10th international conference on World Wide Web, p.285-295, May 01-05, 2001, Hong Kong, Hong Kong [doi>10.1145/371920.372071]