A Collaborative Filtering Recommendation Algorithm Incorporated with Life Cycle

Chong Lin Zheng; Kuang Rong Hao; Yong Sheng Ding

doi:10.4028/www.scientific.net/AMR.765-767.630

Paper Titles

Modified Iterative Sphere Decoding Algorithm in LTE System
p.611

The Video Encryption Scheme Based on Perceptual Encryption Algorithm in H.264 Standards
p.615

Calculating Methods for the Irregular Hermite Interpolation Polynomial
p.620

Study of the Intelligent Analysis and Prediction about Subway Passenger Flow during Large-Scale Events
p.625

A Collaborative Filtering Recommendation Algorithm Incorporated with Life Cycle
p.630

Construction of Motion Model of Motion Simulation System of Airport Fire Engine Simulator
p.634

A Robust Filtering Algorithm of LiDAR Data for DTM Extraction
p.639

Regularization Method for Complete Singular Integral Equation with Hilbert Kernel on Open Arcs
p.643

Aadptive Subcarrier Allocation for Multiple Cognitive Users over Fading Channels
p.647

HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 765-767A Collaborative Filtering Recommendation Algorithm...

A Collaborative Filtering Recommendation Algorithm Incorporated with Life Cycle

Abstract:

Collaborative filtering recommendation algorithm is the most successful technology for recommendation systems. However, traditional collaborative filtering recommendation algorithm does not consider the change of time information. For this problem,this paper improve the algorithm with two new methods:Predict score incorporated with time information in order to reflect the user interest change; Recommend according to scores by adding the weight information determined by the item life cycle. Experimental results show that the proposed algorithm outperforms the traditional item in accuracy.

You might also be interested in these eBooks

View Preview

Info:

Periodical:

Advanced Materials Research (Volumes 765-767)

Pages:

630-633

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.765-767.630

Citation:

Cite this paper

Online since:

September 2013

Authors:

Chong Lin Zheng, Kuang Rong Hao, Yong Sheng Ding

Keywords:

Collaborative Filtering (CF), Life Cycle, Time Information, User Interest

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

Citation:

References

[1] Xing Chunxiao, Gao Fengrong, Zhan Sinan. A Collaborative Filtering Recommendation Algorithm Incorporated with User Interest Change. Journal of computer research and development, 2007, 44(2) : 296-301.

DOI: 10.1360/crad20070216

Google Scholar

[2] Yu Hong, Li Zhuanyun. A Collaborative Filtering Recommendation Algorithm Based on Forgetting Curve. Journal of Nanjing University (Natural Sciences), 2010, 46(5) : 520-527.

Google Scholar

[3] Li Kechao, Liang Zhengyou. Exponential Forgetting Collaborative Filtering Recommendation Algorithm Incorporated with User Interest Change. Computer Engineering and Applications, 2011, 47(13) : 154-156.

Google Scholar

[4] Liu Xudong, Chen Deren, Wang Huimin. A User-based and Item- based Collaborative Filtering Recommendation Algorithm. Journal of WUT (Information &Management Engineering), 2010, 32(4): 550-553.

Google Scholar

[5] Jiang Wei, Pang Xiuli. Research on Personal Hybrid Recommendation Overcoming Data Sparse Problem. Computer Engineering and Applications, 2012, 17(12): 1-6.

Google Scholar

[6] J. Herlocker, J. Konstan, L. Terveen, and J. Riedl. Evaluating Collaborative Filtering Recommender Systems. ACM Transactions on Information Systems, pp.5-53, ACM Press, (2008).

DOI: 10.1145/963770.963772

Google Scholar

[7] Wujian Yang, Zebing Waug and Mingyu You, An improved Collaborative Filtering Method for Recommendiations' Generation, In Proceedings of IEEE International Conierence on Systems, Man and Cybernetics, (2009).

DOI: 10.1109/icsmc.2004.1401179

Google Scholar