Full metadata record
DC FieldValueLanguage
dc.contributor.authorNguyen, Thac Huy-
dc.contributor.authorDo, The Chuan-
dc.contributor.authorNguyen, Viet Anh-
dc.date.accessioned2016-09-26T02:36:26Z-
dc.date.available2016-09-26T02:36:26Z-
dc.date.issued2016-
dc.identifier.urihttp://repository.vnu.edu.vn/handle/VNU_123/14443-
dc.description.abstractThe appearance of a vast array of online newspapers makes appropriate news recommendation for users become critically important. A number of researches in this area have been conducted in recent years. This paper presents the Vietnamese content-based news recommender system. Based on information about news stories that users have read and given feedback, the system can automatically determine news stories that users may want to read later. The center of the system is a hybrid user profile which can diversely model news reading features of individual users thanks to a combination of short -term and long -term information models along with self description. The paper also introduces and evaluates a mechanism for implicit feedback. After installing the system and conducting several experiments, as well as collecting feedback from users, it is shown thatthe system is relatively adaptable to users and can recommend appropriate news with a high degree of accuracy, which significantly increases the effectiveness of gathering information compared to traditional news readingen_US
dc.language.isoenen_US
dc.publisherĐHCNen_US
dc.subjectImplicit feedbacken_US
dc.subjectNews recommenderen_US
dc.subjectUser modelingen_US
dc.titleImplicit Feedback Mechanism to Manage User Profile Applied in Vietnamese News Recommender Systemen_US
dc.typeArticleen_US
Appears in Collections:Bài đăng tạp chí (LIC)


  • Implicit Feedback Mechanism to Manage User Profile Applie...
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  • Full metadata record
    DC FieldValueLanguage
    dc.contributor.authorNguyen, Thac Huy-
    dc.contributor.authorDo, The Chuan-
    dc.contributor.authorNguyen, Viet Anh-
    dc.date.accessioned2016-09-26T02:36:26Z-
    dc.date.available2016-09-26T02:36:26Z-
    dc.date.issued2016-
    dc.identifier.urihttp://repository.vnu.edu.vn/handle/VNU_123/14443-
    dc.description.abstractThe appearance of a vast array of online newspapers makes appropriate news recommendation for users become critically important. A number of researches in this area have been conducted in recent years. This paper presents the Vietnamese content-based news recommender system. Based on information about news stories that users have read and given feedback, the system can automatically determine news stories that users may want to read later. The center of the system is a hybrid user profile which can diversely model news reading features of individual users thanks to a combination of short -term and long -term information models along with self description. The paper also introduces and evaluates a mechanism for implicit feedback. After installing the system and conducting several experiments, as well as collecting feedback from users, it is shown thatthe system is relatively adaptable to users and can recommend appropriate news with a high degree of accuracy, which significantly increases the effectiveness of gathering information compared to traditional news readingen_US
    dc.language.isoenen_US
    dc.publisherĐHCNen_US
    dc.subjectImplicit feedbacken_US
    dc.subjectNews recommenderen_US
    dc.subjectUser modelingen_US
    dc.titleImplicit Feedback Mechanism to Manage User Profile Applied in Vietnamese News Recommender Systemen_US
    dc.typeArticleen_US
    Appears in Collections:Bài đăng tạp chí (LIC)


  • Implicit Feedback Mechanism to Manage User Profile Applie...
    • Size : 1,69 MB

    • Format : Adobe PDF

    • View : 
    • Download :