Sentiment user profile analysis based on forgetting curve in mobile environments

Sang Min Park, Doo Kwon Baik, Young Gab Kim

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    9 Citations (Scopus)

    Abstract

    The user profile is a way of describing user characteristics using collected information about what the user prefers. However, it cannot be used for other applications with a general purpose, because it is generally created for personal recommendation and search. Furthermore, there are restrictions to analyze the user profile in terms of temporal influence in mobile environments. In this paper, in order to overcome these limitations, we propose a sentiment user profile analysis, which can analyze individual user characteristics based on the forgetting curve in mobile environments. In order to evaluate the effectiveness and feasibility of the proposed analysis, it has been implemented and applied to clothing domain. Experimental results show that the proposed analysis extracts the individual user characteristics with better accuracy than the existing method.

    Original languageEnglish
    Title of host publicationProceedings of 2016 IEEE 15th International Conference on Cognitive Informatics and Cognitive Computing, ICCI*CC 2016
    PublisherInstitute of Electrical and Electronics Engineers Inc.
    Pages207-211
    Number of pages5
    ISBN (Electronic)9781509038466
    DOIs
    Publication statusPublished - 2017 Feb 21
    Event15th IEEE International Conference on Cognitive Informatics and Cognitive Computing, ICCI*CC 2016 - Stanford, United States
    Duration: 2016 Aug 222016 Aug 23

    Other

    Other15th IEEE International Conference on Cognitive Informatics and Cognitive Computing, ICCI*CC 2016
    Country/TerritoryUnited States
    CityStanford
    Period16/8/2216/8/23

    Keywords

    • Forgetting curve
    • Sentiment analysis
    • Temporal analysis
    • User profile

    ASJC Scopus subject areas

    • Cognitive Neuroscience
    • Artificial Intelligence
    • Software
    • Computer Vision and Pattern Recognition
    • Information Systems

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