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Personalized Photo Recommendation By Leveraging User Modeling On Social Network

Published: 02 December 2013 Publication History

Abstract

An online social network is a digital representation of the set of human beings on the Internet. Social network services generate large amount of usage data; for example, Facebook defines detailed user profiles, and provides a platform for sharing information with a vast network of friends, and Flickr offers sophisticated ways for sharing and searching for photos. In this paper, We propose cross-domain user profile modeling that acquires background knowledge from Linked Open Data and measures user interests. We infer the user's preferences by analyzing her Facebook profile, and expand it by linking it to Flickr in order to recommend socially relevant photos.

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Cited By

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  • (2019)A novel trust recommendation model for mobile social network based on user motivationElectronic Commerce Research10.1007/s10660-019-09344-9Online publication date: 17-Apr-2019
  • (2017)A Social Cultural Recommender based on Linked Open DataAdjunct Publication of the 25th Conference on User Modeling, Adaptation and Personalization10.1145/3099023.3099092(329-332)Online publication date: 9-Jul-2017
  • (2016)Sake Selection Support Application for Countryside TourismTransactions on Large-Scale Data- and Knowledge-Centered Systems XXVII - Volume 986010.1007/978-3-662-53416-8_2(19-30)Online publication date: 1-Jul-2016
  • Show More Cited By

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    IIWAS '13: Proceedings of International Conference on Information Integration and Web-based Applications & Services
    December 2013
    753 pages
    ISBN:9781450321136
    DOI:10.1145/2539150
    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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    • @WAS: International Organization of Information Integration and Web-based Applications and Services

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    Association for Computing Machinery

    New York, NY, United States

    Publication History

    Published: 02 December 2013

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    Author Tags

    1. Semantic Annotation
    2. Social Networks
    3. User Profile Modeling

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    Cited By

    View all
    • (2019)A novel trust recommendation model for mobile social network based on user motivationElectronic Commerce Research10.1007/s10660-019-09344-9Online publication date: 17-Apr-2019
    • (2017)A Social Cultural Recommender based on Linked Open DataAdjunct Publication of the 25th Conference on User Modeling, Adaptation and Personalization10.1145/3099023.3099092(329-332)Online publication date: 9-Jul-2017
    • (2016)Sake Selection Support Application for Countryside TourismTransactions on Large-Scale Data- and Knowledge-Centered Systems XXVII - Volume 986010.1007/978-3-662-53416-8_2(19-30)Online publication date: 1-Jul-2016
    • (2016)Say Cheese: Personal Photography Layout Recommendation Using 3D Aesthetics EstimationAdvances in Multimedia Information Processing - PCM 201610.1007/978-3-319-48896-7_2(13-23)Online publication date: 27-Nov-2016
    • (2015)Fusing Pointwise and Pairwise Labels for Supporting User-adaptive Image RetrievalProceedings of the 5th ACM on International Conference on Multimedia Retrieval10.1145/2671188.2749358(67-74)Online publication date: 22-Jun-2015
    • (2015)User-adaptive image retrieval via fusing pointwise and pairwise labelsInternational Journal of Multimedia Information Retrieval10.1007/s13735-015-0092-15:1(19-33)Online publication date: 22-Dec-2015

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