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Automatic recording agent for digital video server

Authors:

Atsuyoshi Nakamura,

Naoki Abe,

Hiroshi Matoba,

Katsuhiro OchiaiAuthors Info & Claims

MULTIMEDIA '00: Proceedings of the eighth ACM international conference on Multimedia

Pages 57 - 66

https://doi.org/10.1145/354384.354425

Published: 30 October 2000 Publication History

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Abstract

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.

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Cited By

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Korst JPronk VBarbieri MVerhaegh WMichiels W(2010)Scheduling TV recordings for a recommender-based DVRIEEE International Symposium on Consumer Electronics (ISCE 2010)10.1109/ISCE.2010.5523716(1-6)Online publication date: Jun-2010
https://doi.org/10.1109/ISCE.2010.5523716
Elsässer RLorenz USauerwald T(2007)Agent-based randomized broadcasting in large networksDiscrete Applied Mathematics10.1016/j.dam.2006.04.035155:2(150-160)Online publication date: 21-Jan-2007
https://dl.acm.org/doi/10.1016/j.dam.2006.04.035
Elsässer RLorenz USauerwald T(2004)Agent-Based Information Handling in Large NetworksMathematical Foundations of Computer Science 200410.1007/978-3-540-28629-5_45(586-598)Online publication date: 2004
https://doi.org/10.1007/978-3-540-28629-5_45
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Information & Contributors

Information

Published In

MULTIMEDIA '00: Proceedings of the eighth ACM international conference on Multimedia

October 2000

523 pages

ISBN:1581131984

DOI:10.1145/354384

Chairmen:
Shahram Ghandeharizadeh
USC
,
Shih-Fu Chang
Columbia Univ., New York, NY
,
Stephen Fischer
GMD-IPSI
,
Joseph A. Konstan
Univ. of Minnesota
,
Klara Nahrstedt
Univ. of Illinois, Urbana-Champaign

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 30 October 2000

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MM00: ACM Multimedia 2000

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Korst JPronk VBarbieri MVerhaegh WMichiels W(2010)Scheduling TV recordings for a recommender-based DVRIEEE International Symposium on Consumer Electronics (ISCE 2010)10.1109/ISCE.2010.5523716(1-6)Online publication date: Jun-2010
https://doi.org/10.1109/ISCE.2010.5523716
Elsässer RLorenz USauerwald T(2007)Agent-based randomized broadcasting in large networksDiscrete Applied Mathematics10.1016/j.dam.2006.04.035155:2(150-160)Online publication date: 21-Jan-2007
https://dl.acm.org/doi/10.1016/j.dam.2006.04.035
Elsässer RLorenz USauerwald T(2004)Agent-Based Information Handling in Large NetworksMathematical Foundations of Computer Science 200410.1007/978-3-540-28629-5_45(586-598)Online publication date: 2004
https://doi.org/10.1007/978-3-540-28629-5_45
Schafer JKonstan JRiedl JNicholas CGrossman DKalpakis KQureshi Svan Dissel HSeligman L(2002)Meta-recommendation systemsProceedings of the eleventh international conference on Information and knowledge management10.1145/584792.584803(43-51)Online publication date: 4-Nov-2002
https://dl.acm.org/doi/10.1145/584792.584803

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CinemaScreen Recommender Agent: Combining Collaborative and Content-Based Filtering

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Agent-based collaborative filtering based on fuzzy recommendations