Rough Set Based Personalized Recommendation in Mobile Commerce View Full Text


Ontology type: schema:Chapter     


Chapter Info

DATE

2009

AUTHORS

Lei Shi , Li Zhang , Xinming Ma , Xiaohong Hu

ABSTRACT

Mobile commerce (M-commerce) combines the advantages of electronic commerce with the mobility and freedom of wireless devices such as cellular telephones and PDAs. As M-Commerce become more and more prevalent to people, it is very critical to provide the right information to the right customers. In this paper, a novel personalized recommendation method based on tolerance rough set is proposed to help customers purchase needed products conveniently. Tolerance rough set is used to deal with latent information and capture customer preference according to both the customer’s interests and his current context. More... »

PAGES

370-375

References to SciGraph publications

  • 2004. A Next Generation Intelligent Mobile Commerce System in SOFTWARE ENGINEERING RESEARCH AND APPLICATIONS
  • 2004. A Tolerance Rough Set Approach to Clustering Web Search Results in KNOWLEDGE DISCOVERY IN DATABASES: PKDD 2004
  • 1991. Rough Sets, Theoretical Aspects of Reasoning about Data in NONE
  • 1982-10. Rough sets in INTERNATIONAL JOURNAL OF PARALLEL PROGRAMMING
  • Book

    TITLE

    Active Media Technology

    ISBN

    978-3-642-04874-6
    978-3-642-04875-3

    Author Affiliations

    Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1007/978-3-642-04875-3_39

    DOI

    http://dx.doi.org/10.1007/978-3-642-04875-3_39

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1042252598


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