Volume 8 Number 11 (Nov. 2013)
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JCP 2013 Vol.8(11): 2763-2767 ISSN: 1796-203X
doi: 10.4304/jcp.8.11.页

Time Weight Update Model Based on the Memory Principle in Collaborative Filtering

Dan Li1, Peng Cao2, Yucui Guo1, and Min Lei3
1 School of Science, Beijing University of Posts and Telecommunication, Beijing, China
2 College of Information Engineering, Beijing Institute of Graphic Communication National, Beijing, China, Email:
3 Information Security Center, Beijing University of Posts and Telecommunication, Beijing, China National Engineering Laboratory for Disaster Backup and Recovery, Beijing University of Posts and Telecommunications, Beijing, China


Abstract—Collaborative filtering is the most widely used technology in the recommender systems. Existing collaborative filtering algorithms do not take the time factor into account. However, users’ interests always change with time, and traditional collaborative filtering cannot reflect the changes. In this paper, the change of users’ interests is considered as the memory process, and a time weight iteration model is designed based on memory principle. For a certain user, the proposed model introduces the time weight for each item, and updates the weight by computing the similarity with the items chosen in a recent period. In the recommend process, the weight will be applied to the prediction algorithm. Experimental results show that the modified algorithm can optimize the result of the recommendation in a certain extent, and performs better than traditional collaborative filtering.

Index Terms—collaborative filtering (CF); recommender system; memory principle; time weight

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Cite: Dan Li, Peng Cao, Yucui Guo, and Min Lei, " Time Weight Update Model Based on the Memory Principle in Collaborative Filtering," Journal of Computers vol. 8, no. 11, pp. 2763-2767, 2013.

General Information

ISSN: 1796-203X
Abbreviated Title: J.Comput.
Frequency: Bimonthly
Editor-in-Chief: Prof. Liansheng Tan
Executive Editor: Ms. Nina Lee
Abstracting/ Indexing: DBLP, EBSCO,  ProQuest, INSPEC, ULRICH's Periodicals Directory, WorldCat,etc
E-mail: jcp@iap.org
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