A recommendation model for personalized book lists
Conference proceedings article
Authors/Editors
Strategic Research Themes
No matching items found.
Publication Details
Author list: Maneewongvatana S., Maneewongvatana S.
Publisher: Hindawi
Publication year: 2010
Start page: 389
End page: 394
Number of pages: 6
ISBN: 9781424470105
ISSN: 0146-9428
eISSN: 1745-4557
Languages: English-Great Britain (EN-GB)
Abstract
In this study, we present a novel approach to recommend the personalized book lists for the university members. Our approach consists of clustering the university members into different clusters based on their recent circulation activities and discovering the interest patterns of members in the cluster. In the first step, we clustered members sharing the common interests to the same cluster by using K-means algorithm, after that we explored the possible interest patterns performed by members in each cluster by association rules. Finally, we provided the recommended booklists that satisfy their individual needs and interest patterns. A questionnaire survey was performed to evaluate the accuracy satisfaction of predicting the satisfy booklist to an individual. The evaluation results reveal the possibility of using circulation activity history to predict the current interest of an individual member and construct the personalized book lists that satisfy their interests. ฉ2010 IEEE.
Keywords
No matching items found.
Contact Information