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Reasonable tag-based collaborative filtering for social tagging systems

Published: 30 October 2008 Publication History

Abstract

In this paper, we present a tag-based collaborative filtering recommendation method for use with recently popular online social tagging systems. Combining the information provided by tagging systems with the effective recommendation abilities given by collaborative filtering, we provide a website recommendation system which provides relevant, credible recommendations that match the user's changing interests as well as the user's bookmarking profile. Based upon user testing, our system provides a higher level of relevant recommendations over other commonly used search and recommendation methods. We describe this system as well as the relevant user testing results and its implication towards use in online social tagging systems.

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R. Nakamoto, S. Nakajima, J. Miyazaki, and S. Uemura. Tag-based contextual collaborative filtering. In 18th IEICE Data Engineering Workshop 2007.
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Cited By

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  • (2019)A Deep Learning Framework to Predict Rating for Cold Start Item Using Item Metadata2019 IEEE 28th International Conference on Enabling Technologies: Infrastructure for Collaborative Enterprises (WETICE)10.1109/WETICE.2019.00071(313-319)Online publication date: Jun-2019
  • (2019)Research on Personalized Recommendation Technology Based on Collaborative Filtering2019 IEEE International Conference on Smart Cloud (SmartCloud)10.1109/SmartCloud.2019.00017(41-46)Online publication date: Dec-2019
  • (2018)Tag-Based RecommendationSocial Information Access10.1007/978-3-319-90092-6_12(441-479)Online publication date: 3-May-2018
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    cover image ACM Conferences
    WICOW '08: Proceedings of the 2nd ACM workshop on Information credibility on the web
    October 2008
    100 pages
    ISBN:9781605582597
    DOI:10.1145/1458527
    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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    New York, NY, United States

    Publication History

    Published: 30 October 2008

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    Author Tags

    1. collaborative filtering
    2. recommendation systems
    3. social tagging

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    • Research-article

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    CIKM08
    CIKM08: Conference on Information and Knowledge Management
    October 30, 2008
    California, Napa Valley, USA

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    Overall Acceptance Rate 9 of 19 submissions, 47%

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    View all
    • (2019)A Deep Learning Framework to Predict Rating for Cold Start Item Using Item Metadata2019 IEEE 28th International Conference on Enabling Technologies: Infrastructure for Collaborative Enterprises (WETICE)10.1109/WETICE.2019.00071(313-319)Online publication date: Jun-2019
    • (2019)Research on Personalized Recommendation Technology Based on Collaborative Filtering2019 IEEE International Conference on Smart Cloud (SmartCloud)10.1109/SmartCloud.2019.00017(41-46)Online publication date: Dec-2019
    • (2018)Tag-Based RecommendationSocial Information Access10.1007/978-3-319-90092-6_12(441-479)Online publication date: 3-May-2018
    • (2017)SwallowComputational Intelligence10.1111/coin.1208633:1(99-118)Online publication date: 1-Feb-2017
    • (2017)Personalized Social Image Recommendation Method Based on User-Image-Tag ModelIEEE Transactions on Multimedia10.1109/TMM.2017.270164119:11(2439-2449)Online publication date: Nov-2017
    • (2016)What drives you to check in on Facebook? Motivations, privacy concerns, and mobile phone involvement for location-based information sharingComputers in Human Behavior10.1016/j.chb.2015.08.01654:C(397-406)Online publication date: 1-Jan-2016
    • (2014)Personal Classification Space-based Collaborative Filtering in Social Bookmark ServicesTransactions of the Society of Instrument and Control Engineers10.9746/sicetr.50.10950:2(109-117)Online publication date: 2014
    • (2014)A tag-based recommender system using rule-based collaborative profile enrichmentIntelligent Data Analysis10.5555/2691093.269110418:5(953-972)Online publication date: 1-Sep-2014
    • (2014)Recommendation system with collaborative social tagging exploration2014 International Conference on Recent Trends in Information Technology10.1109/ICRTIT.2014.6996160(1-6)Online publication date: Apr-2014
    • (2014)Collaborative filtering recommendation algorithm based on user preference derived from item domain featuresPhysica A: Statistical Mechanics and its Applications10.1016/j.physa.2013.11.013396(66-76)Online publication date: Feb-2014
    • Show More Cited By

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