[1] Gu Liang, Yang Peng, Dong Yongqiang,. A novel similarity measurement approachconsidering intrinsic user groups in collaborative filtering [J]. Journal of Southeast University (English Edition), 2015, 31 (4): 462-468. [doi:10.3969/j.issn.1003-7985.2015.04.006]

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A novel similarity measurement approachconsidering intrinsic user groups in collaborative filtering()

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Journal of Southeast University (English Edition)[ISSN:1003-7985/CN:32-1325/N]

Volumn:

31

Issue:

2015 4

Page:

462-468

Research Field:

Information and Communication Engineering

Publishing date:

2015-12-30

Info

Title:

A novel similarity measurement approachconsidering intrinsic user groups in collaborative filtering

Author(s):

Gu Liang;  Yang Peng;  Dong Yongqiang

School of Computer Science and Engineering, Southeast University, Nanjing 211189, China
Key Laboratory of Computer Network and Information Integration of Ministry of Education, Southeast University, Nanjing 211189, China

Keywords:

similarity;  user group;  cluster;  collaborative filtering

PACS:

TN92

DOI:

10.3969/j.issn.1003-7985.2015.04.006

Abstract:

To improve the similarity measurement between users, a similarity measurement approach incorporating clusters of intrinsic user groups(SMCUG)is proposed considering the social information of users. The approach constructs the taxonomy trees for each categorical attribute of users. Based on the taxonomy trees, the distance between numerical and categorical attributes is computed in a unified framework via a proper weight. Then, using the proposed distance method, the naïve k-means cluster method is modified to compute the intrinsic user groups. Finally, the user group information is incorporated to improve the performance of traditional similarity measurement. A series of experiments are performed on a real world dataset, MovieLens. Results demonstrate that the proposed approach considerably outperforms the traditional approaches in the prediction accuracy in collaborative filtering.

References:

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Memo

Memo:

Biographies: Gu Liang(1989—), male, graduate; Yang Peng(corresponding author), male, doctor, associate professor, pengyang@seu.edu.cn.
Foundation items: The National High Technology Research and Development Program of China(863 Program)(No.2013AA013503), the National Natural Science Foundation of China(No.61472080, 61370206, 61300200), the Consulting Project of Chinese Academy of Engineering(No.2015-XY-04), the Foundation of Collaborative Innovation Center of Novel Software Technology and Industrialization.
Citation: Gu Liang, Yang Peng, Dong Yongqiang. A novel similarity measurement approach considering intrinsic user groups in collaborative filtering[J].Journal of Southeast University(English Edition), 2015, 31(4):462-468.[doi:10.3969/j.issn.1003-7985.2015.04.006]

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