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
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;
Conference_Titel :
Management of e-Commerce and e-Government (ICMeCG), 2012 International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4673-2943-9
DOI :
10.1109/ICMeCG.2012.67
