Article

Content-based filtering and personalization using structured metadata

Authors:

A. Mufit Ferman,

James H. Errico,

Peter van Beek,

M. Ibrahim SezanAuthors Info & Claims

JCDL '02: Proceedings of the 2nd ACM/IEEE-CS joint conference on Digital libraries

Page 393

https://doi.org/10.1145/544220.544341

Published: 14 July 2002 Publication History

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Abstract

Structured descriptions of multimedia content and automatically generated user profiles are used to filter content.

References

[1]

Good, N. et al., Combining collaborative filtering with personal agents for better recommendations, Proc. AAAI'99, pp. 439--446, AAAI Press, Menlo Park, CA.

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Sarwar, B. M. et al., Using filtering agents to improve prediction quality in the GroupLens research collaborative filtering system, Proc. ACM CSCW'98, p. 345, Seattle, WA.

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MPEG, Introduction to MPEG-7, Sydney, 2001. http://mpeg.telecomitalialab.com.

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TV-Anytime Forum, http://www.tv-anytime.org.

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GroupLens Research Project, http://www.cs.umn.edu/Research/GroupLens.

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Ballandies MPournaras E(2021)Mobile link prediction: Automated creation and crowdsourced validation of knowledge graphsMicroprocessors and Microsystems10.1016/j.micpro.2021.104335(104335)Online publication date: Oct-2021
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Wang RHu TChen G(2018)Where Do Local Experts Go? Evaluating User Geo-Topical Similarity for Top-N Place RecommendationJournal of Computer Science and Technology10.1007/s11390-017-1766-333:1(190-206)Online publication date: 26-Jan-2018
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Published In

JCDL '02: Proceedings of the 2nd ACM/IEEE-CS joint conference on Digital libraries

July 2002

448 pages

ISBN:1581135130

DOI:10.1145/544220

General Chair:
William Hersh
Oregon Health & Science University
,
Program Chair:
Gary Marchionini
University of North Carolina at Chapel Hill

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: 14 July 2002

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JCDL02

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JCDL02: Joint Conference on Digital Libraries 2002

July 14 - 18, 2002

Oregon, Portland, USA

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JCDL '02 Paper Acceptance Rate 69 of 240 submissions, 29%;

Overall Acceptance Rate 415 of 1,482 submissions, 28%

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Cited By

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Ballandies MPournaras E(2021)Mobile link prediction: Automated creation and crowdsourced validation of knowledge graphsMicroprocessors and Microsystems10.1016/j.micpro.2021.104335(104335)Online publication date: Oct-2021
https://doi.org/10.1016/j.micpro.2021.104335
Kushwaha NPant M(2019)Modified particle swarm optimization for multimodal functions and its applicationMultimedia Tools and Applications10.1007/s11042-018-6324-778:17(23917-23947)Online publication date: 1-Sep-2019
https://dl.acm.org/doi/10.1007/s11042-018-6324-7
Wang RHu TChen G(2018)Where Do Local Experts Go? Evaluating User Geo-Topical Similarity for Top-N Place RecommendationJournal of Computer Science and Technology10.1007/s11390-017-1766-333:1(190-206)Online publication date: 26-Jan-2018
https://doi.org/10.1007/s11390-017-1766-3
Hao FLi SMin GKim HYau SYang L(2015)An Efficient Approach to Generating Location-Sensitive Recommendations in Ad-hoc Social Network EnvironmentsIEEE Transactions on Services Computing10.1109/TSC.2015.24018338:3(520-533)Online publication date: 1-May-2015
https://doi.org/10.1109/TSC.2015.2401833
Rao WChen LBartolini I(2015)Ranked content advertising in online social networksWorld Wide Web10.1007/s11280-014-0276-218:3(661-679)Online publication date: 1-May-2015
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Ding LZheng NXu JXu M(2015)An Improved Content-Based Music Recommending Method with Weighted TagsMultiMedia Modeling10.1007/978-3-319-14445-0_31(360-371)Online publication date: 2015
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Yin PYe MLee WLi Z(2014)Mining GPS Data for Trajectory RecommendationAdvances in Knowledge Discovery and Data Mining10.1007/978-3-319-06605-9_5(50-61)Online publication date: 2014
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Arsenio A(2013)Intelligent Approaches for Adaptation and Distribution of Personalized Multimedia ContentIntelligent Multimedia Technologies for Networking Applications10.4018/978-1-4666-2833-5.ch008(197-224)Online publication date: 2013
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Yang DChen TZhang WLu QYu YCunningham PHurley NGuy IAnand S(2012)Local implicit feedback mining for music recommendationProceedings of the sixth ACM conference on Recommender systems10.1145/2365952.2365973(91-98)Online publication date: 9-Sep-2012
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Yu S(2012)The dynamic competitive recommendation algorithm in social network servicesInformation Sciences: an International Journal10.1016/j.ins.2011.10.020187(1-14)Online publication date: 1-Mar-2012
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