Title :
A Collaborative Filtering Recommendation Based on User Profile Weight and Time Weight
Author :
Chen Dongtao ; Xu Dehua
Author_Institution :
Sch. of Econ. & Manage., Tongji Univ., Shanghai, China
Abstract :
Collaborative Filtering (CF) has proven to be the most widely used recommendation technology. However, the conventional CF ignores the impacts of user similarity caused by user profile, and it also can´t reflect the changes of user´s interests. To solve this problem, two weights are proposed: the user profile weight and the time weight. Also, the two weights are combined together and applied to a novel personalized recommendation system. The experimental results show that the improved method can obviously increase the recommendation precision.
Keywords :
information filtering; recommender systems; collaborative filtering recommendation; recommendation technology; time weight; user profile weight; Algorithm design and analysis; Collaboration; Computational modeling; Error analysis; Filtering algorithms; Functional analysis; Hysteresis; Joining processes; Nearest neighbor searches; Technology management;
Conference_Titel :
Computational Intelligence and Software Engineering, 2009. CiSE 2009. International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-4507-3
Electronic_ISBN :
978-1-4244-4507-3
DOI :
10.1109/CISE.2009.5367035
