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A Graph-Based Recommendation Framework for Price-Comparison Services

Published: 18 May 2015 Publication History

Abstract

In this paper, we propose a set of recommendation strategies and develop a graph-based framework for recommendation in online price-comparison services. We verify the superiority of the proposed framework by comparing it with existing methods using real-world data.

References

[1]
G. Adomavicius et al., "Towards the Next Generation of Recommender Systems: A Survey of the State-of-the-Art and Possible Extensions," IEEE TKDE, 17(6): 634--749, 2005.
[2]
Y. Hu et al., "Collaborative Filtering for Implicit Feedback Datasets," In Proc. of ICDM, pp. 263--272, 2008.
[3]
S. Lee et al., "Random walk based entity ranking on graph for multidimensional recommendation," In Proc. of ACM RecSys, pp. 93--100, 2011.

Cited By

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  • (2018)How to Impute Missing Ratings?Proceedings of the 2018 World Wide Web Conference10.1145/3178876.3186159(783-792)Online publication date: 10-Apr-2018

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  1. A Graph-Based Recommendation Framework for Price-Comparison Services

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    Published In

    cover image ACM Other conferences
    WWW '15 Companion: Proceedings of the 24th International Conference on World Wide Web
    May 2015
    1602 pages
    ISBN:9781450334730
    DOI:10.1145/2740908
    Permission to make digital or hard copies of part or all 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 third-party components of this work must be honored. For all other uses, contact the Owner/Author.

    Sponsors

    • IW3C2: International World Wide Web Conference Committee

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    Association for Computing Machinery

    New York, NY, United States

    Publication History

    Published: 18 May 2015

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    Author Tags

    1. price-comparison services
    2. recommendation systems

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    • Other

    Funding Sources

    • the Ministry of Science ICT and Future Planning (MSIP) Korea under the Information Technology Research Center (ITRC) support
    • the National Research Foundation of Korea (NRF) grant funded by the Korea government (MSIP)
    • Business for Cooperative R&D between Industry Academy and Research Institute funded Korea Small and Med

    Conference

    WWW '15
    Sponsor:
    • IW3C2

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    Overall Acceptance Rate 1,899 of 8,196 submissions, 23%

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    Cited By

    View all
    • (2018)How to Impute Missing Ratings?Proceedings of the 2018 World Wide Web Conference10.1145/3178876.3186159(783-792)Online publication date: 10-Apr-2018

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