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A New Method for Recommending Tags Associated with the Use of Discovering Relationships Among Tags

عنوان مقاله: A New Method for Recommending Tags Associated with the Use of Discovering Relationships Among Tags
شناسه ملی مقاله: ICKIS01_018
منتشر شده در اولین کنفرانس بین المللی مهندسی دانش،اطلاعات و نرم افزار در سال 1393
مشخصات نویسندگان مقاله:

Mohammad Ramezanian - Department of Computer Engineering Mashhad Branch, Islamic Azad University Mashhad, Iran
Abolfazl Mearajifar - Department of Artificial Intelligence Mashhad Branch, Imam Reza International University Mashhad, Iran
Mehrdad Jalali - Department of Computer Engineering Mashhad Branch, Islamic Azad University Mashhad, Iran

خلاصه مقاله:
Tagging has become a powerful tool for users to find, organize, understand and express their ideas and about the online entities. However, researchers have tried to combinetagging with prediction methods and recommending systems; so this is faced challenges. Different ways are implemented forusers who tag, and those who do not. in Movielens website that is modeled based on users' direct and indirect behaviors. In thispaper we present a method for recommending and selecting tagsfor more accurate and detailed tagging that is more for user's preferences

کلمات کلیدی:
tagging; recommender system; tagommender; tagomendation; recommender system

صفحه اختصاصی مقاله و دریافت فایل کامل: https://civilica.com/doc/344818/