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Return to Poster Session 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. 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 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 }, ![]() ©2006 Association for Computing Machinery |