DocumentCode
579790
Title
Research on Recommendation Model of Technology Literature Based on User Preference
Author
Li, Xuefeng ; Sun, Baowen
Author_Institution
Sch. of Inf., Central Univ. of Finance & Econ., Beijing, China
fYear
2012
fDate
20-21 Oct. 2012
Firstpage
22
Lastpage
25
Abstract
How to describe the features of users ´literature searching behavior has much more influences upon the efficiency of literature recommendation. Based on analyzing three key literature searching behavior, we assign several weight for those behavior so as to evaluate users´ preferences. And then propose a user preference based recommendation model. Through simulation experiment, it is proved that our model had good performance and could improve the literature service quality effectively.
Keywords
behavioural sciences computing; information retrieval; literature; recommender systems; key literature searching behavior; literature recommendation model; user preference based recommendation model; Clustering algorithms; Collaboration; Correlation; Educational institutions; Libraries; Recommender systems; collaborative filtering; technology litrature recommendation; user preference;
fLanguage
English
Publisher
ieee
Conference_Titel
Management of e-Commerce and e-Government (ICMeCG), 2012 International Conference on
Conference_Location
Beijing
Print_ISBN
978-1-4673-2943-9
Type
conf
DOI
10.1109/ICMeCG.2012.67
Filename
6374874
Link To Document