We propose and evaluate the performance of a number of methods for automatic recording of TV programs for digital video servers, which estimate the user's preference over TV programs based on her/his past viewing behavior and automatically record a selected number of TV programs believed to be of interest to the user. Our methods combine the so-called content-based filtering and social (or collaborative) filtering methods and are based on a certain class of on-line learning algorithms known as the `specialist' algorithms, recently developed in the field of computational learning theory. We empirically evaluated the performance of content-based part of the proposed methods using preference data on TV programs consisting of scores given by people on actual TV programs. The results are largely encouraging and indicate in particular that our methods are practical in terms of both the precision in predicting the user's preference and computational complexity.

Article New digital broadcasting services for use with TV sets containing digital storage devices Share on Authors: Rina Hayasaka Human Media Research Laboratories, NEC 1-1, Miyazaki 4-chome, Miyamae-ku, Kawasaki, Kanagawa 216-8555, Japan Human Media Research Laboratories, NEC 1-1, Miyazaki 4-chome, Miyamae-ku, Kawasaki, Kanagawa 216-8555, JapanView Profile , Hiroshi Matoba Human Media Research Laboratories, NEC 1-1, Miyazaki 4-chome, Miyamae-ku, Kawasaki, Kanagawa 216-8555, Japan Human Media Research Laboratories, NEC 1-1, Miyazaki 4-chome, Miyamae-ku, Kawasaki, Kanagawa 216-8555, JapanView Profile , Kazutoshi Maeno Advanced Broadcast Systems Development, Division, NEC 10, Nisshin-cho 1-chome, Fuchu, Tokyo 183-6501, Japan Advanced Broadcast Systems Development, Division, NEC 10, Nisshin-cho 1-chome, Fuchu, Tokyo 183-6501, JapanView Profile Authors Info & Claims MULTIMEDIA '99: Proceedings of the seventh ACM international conference on Multimedia (Part 2)October 1999 Pages 127–130https://doi.org/10.1145/319878.319912Online:01 October 1999Publication History 0citation318DownloadsMetricsTotal Citations0Total Downloads318Last 12 Months0Last 6 weeks0 Get Citation AlertsNew Citation Alert added!This alert has been successfully added and will be sent to:You will be notified whenever a record that you have chosen has been cited.To manage your alert preferences, click on the button below.Manage my AlertsNew Citation Alert!Please log in to your account Save to BinderSave to BinderCreate a New BinderNameCancelCreateExport CitationPublisher SiteGet Access

Proposed here is an internal representation and mapping method for multimedia information in which retrieval is based on the impression documents are desired to make. A user interface design for a system using this method is also proposed.