Recommender system based on consumer product reviews

Silvana Aciar, Debbie Zhang, Simeon J. Simoff, John K. Debenham

    Research output: Chapter in Book / Conference PaperConference Paper

    Abstract

    ![CDATA[Consumer reviews, opinions and shared experiences in the use of a product is a powerful source of information about consumer preferences that can be used in recommender systems. Despite the importance and value of such information, there is no comprehensive mechanism that formalizes the opinions selection and retrieval process and the utilization of retrieved opinions due to the difficulty of extracting information from text data. In this paper, a new recommender system that is built on consumer product reviews is proposed. A prioritizing mechanism is developed for the system. The proposed approach is illustrated using the case study of a recommender system for digital cameras]]
    Original languageEnglish
    Title of host publication2006 IEEE/WIC/ACM International Conference on Web Intelligence (WI '06): Proceedings: 18-22 December, 2006, Hong Kong, China
    PublisherIEEE
    Number of pages5
    ISBN (Print)0769527477
    Publication statusPublished - 2006
    EventInternational Joint Conference on Web Intelligence and Intelligent Agent Technology -
    Duration: 1 Jan 2006 → …

    Conference

    ConferenceInternational Joint Conference on Web Intelligence and Intelligent Agent Technology
    Period1/01/06 → …

    Keywords

    • consumer goods
    • reviews
    • information filtering systems
    • consumer behavior
    • recommender systems (information filtering)
    • digital cameras

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