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Information Journal Paper

Title

MINING USERS' NAVIGATION PATTERNS FOR BUILDING WEB PAGES RECOMMENDATION SYSTEM

Pages

  15-24

Abstract

 Due to the quick growth of the World Wide Web, retrieval of useful information from the Internet for a particular web user or a group of users becomes very difficult. Recommendation systems using WEB USAGE MINING help providing an adaptive web environment for the web users. This paper presents a novel approach for page recommendation using FUZZY ASSOCIATION RULE MINING algorithm. This method extracts previous users' access patterns and then employs them to recommend appropriate web pages for the active user. An illustrative example explains this method in details.

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    Cite

    APA: Copy

    SOLEYMANI SABZCHI, FARZAD, JAMALI, SHAHRAM, & JAFARI, MARYAM. (2013). MINING USERS' NAVIGATION PATTERNS FOR BUILDING WEB PAGES RECOMMENDATION SYSTEM. JOURNAL OF ADVANCES IN COMPUTER RESEARCH, 4(2 (12)), 15-24. SID. https://sid.ir/paper/328717/en

    Vancouver: Copy

    SOLEYMANI SABZCHI FARZAD, JAMALI SHAHRAM, JAFARI MARYAM. MINING USERS' NAVIGATION PATTERNS FOR BUILDING WEB PAGES RECOMMENDATION SYSTEM. JOURNAL OF ADVANCES IN COMPUTER RESEARCH[Internet]. 2013;4(2 (12)):15-24. Available from: https://sid.ir/paper/328717/en

    IEEE: Copy

    FARZAD SOLEYMANI SABZCHI, SHAHRAM JAMALI, and MARYAM JAFARI, “MINING USERS' NAVIGATION PATTERNS FOR BUILDING WEB PAGES RECOMMENDATION SYSTEM,” JOURNAL OF ADVANCES IN COMPUTER RESEARCH, vol. 4, no. 2 (12), pp. 15–24, 2013, [Online]. Available: https://sid.ir/paper/328717/en

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