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Tag-based filtering for personalized bookmark recommendations

Authors:

Beth BrownholtzAuthors Info & Claims

CIKM '08: Proceedings of the 17th ACM conference on Information and knowledge management

Pages 1395 - 1396

https://doi.org/10.1145/1458082.1458297

Published: 26 October 2008 Publication History

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Abstract

This paper investigates using social tags for the purpose of making personalized content recommendations. Our tag-based recommender creates a personalized bookmark recommendation model for each user based on "current" and "general interest" tags, defined by different time intervals.

References

[1]

Claypool, M.; Brown, D.; Le, P.; and Waseda, M. 2001. Inferring user interest. IEEE Internet Computing 5(6), 32--39.

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[2]

Hayes, C.; Avesani, P.; and Veeramachaneni, S. 2007. An analysis of the use of tags in a blog recommender system. In Veloso, M. M., ed., IJCAI, 2772--2777.

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Millen, D. R., Feinberg, J., Kerr, B. 2006. Dogear: Social Bookmarking in the Enterprise. In Proc SIGCHI 2006.

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Cited By

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Xu YLi TYang YChen WYue L(2024)An adaptive category-aware recommender based on dual knowledge graphsInformation Processing & Management10.1016/j.ipm.2023.10363661:3(103636)Online publication date: May-2024
https://doi.org/10.1016/j.ipm.2023.103636
Shen YAi PXiao YZheng WZhu W(2018)A Tag-Based Personalized News Recommendation Method2018 14th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD)10.1109/FSKD.2018.8687219(964-970)Online publication date: Jul-2018
https://doi.org/10.1109/FSKD.2018.8687219
Singh ANagwani NPandey S(2018)RANKuserData Technologies and Applications10.1108/DTA-10-2017-008052:3(329-350)Online publication date: 24-Apr-2018
https://doi.org/10.1108/DTA-10-2017-0080
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Index Terms

Tag-based filtering for personalized bookmark recommendations
1. Information systems
  1. Information retrieval
    1. Retrieval tasks and goals
      1. Document filtering
      2. Information extraction

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Information & Contributors

Information

Published In

CIKM '08: Proceedings of the 17th ACM conference on Information and knowledge management

October 2008

1562 pages

ISBN:9781595939913

DOI:10.1145/1458082

General Chair:
James G. Shanahan
Church and Duncan Group Inc, USA
,
Program Chairs:
Sihem Amer-Yahia
Yahoo! Research, USA
,
Ioana Manolescu
INRIA, France
,
Yi Zhang
University of California, Santa Cruz, USA
,
David A. Evans
JustSystems Evans Research, USA
,
Alek Kolcz
Microsoft Live Labs, USA
,
Key-Sun Choi
KAIST, Korea
,
Abdur Chowdury
Twitter, USA

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: 26 October 2008

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CIKM08

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CIKM08: Conference on Information and Knowledge Management

October 26 - 30, 2008

California, Napa Valley, USA

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Overall Acceptance Rate 1,861 of 8,427 submissions, 22%

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Citations

Cited By

View all

Xu YLi TYang YChen WYue L(2024)An adaptive category-aware recommender based on dual knowledge graphsInformation Processing & Management10.1016/j.ipm.2023.10363661:3(103636)Online publication date: May-2024
https://doi.org/10.1016/j.ipm.2023.103636
Shen YAi PXiao YZheng WZhu W(2018)A Tag-Based Personalized News Recommendation Method2018 14th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD)10.1109/FSKD.2018.8687219(964-970)Online publication date: Jul-2018
https://doi.org/10.1109/FSKD.2018.8687219
Singh ANagwani NPandey S(2018)RANKuserData Technologies and Applications10.1108/DTA-10-2017-008052:3(329-350)Online publication date: 24-Apr-2018
https://doi.org/10.1108/DTA-10-2017-0080
Bogers T(2018)Tag-Based RecommendationSocial Information Access10.1007/978-3-319-90092-6_12(441-479)Online publication date: 3-May-2018
https://doi.org/10.1007/978-3-319-90092-6_12
Gedikli FJannach D(2018)Recommender Systems, Semantic-BasedEncyclopedia of Social Network Analysis and Mining10.1007/978-1-4939-7131-2_116(2137-2147)Online publication date: 12-Jun-2018
https://doi.org/10.1007/978-1-4939-7131-2_116
Saoud ZKechid SSaoud MDoucet A(2017)Exploiting Social Annotations to Generate Resource Descriptions in a Distributed Environment: Cooperative Multi-Agent Simulation on Query-Based SamplingThe Review of Socionetwork Strategies10.1007/s12626-017-0001-611:1(83-93)Online publication date: 1-Jun-2017
https://doi.org/10.1007/s12626-017-0001-6
Gedikli FJannach D(2017)Recommender Systems, Semantic-BasedEncyclopedia of Social Network Analysis and Mining10.1007/978-1-4614-7163-9_116-1(1-11)Online publication date: 4-Aug-2017
https://doi.org/10.1007/978-1-4614-7163-9_116-1
Godoy DCorbellini A(2016)Folksonomy-Based Recommender SystemsInternational Journal of Intelligent Systems10.1002/int.2175331:4(314-346)Online publication date: 1-Apr-2016
https://dl.acm.org/doi/10.1002/int.21753
Gupta PJha R(2015)Tagging based evolving recommendation system for digital library system2015 4th International Symposium on Emerging Trends and Technologies in Libraries and Information Services10.1109/ETTLIS.2015.7048187(139-142)Online publication date: Jan-2015
https://doi.org/10.1109/ETTLIS.2015.7048187
Guy IGeyer WKobsa AZhou MEster MKoren Y(2014)Social recommender system tutorialProceedings of the 8th ACM Conference on Recommender systems10.1145/2645710.2645778(403-404)Online publication date: 6-Oct-2014
https://dl.acm.org/doi/10.1145/2645710.2645778
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