2nd International Conference On Systems Engineering and Modeling (ICSEM-13)

A Collaborative Filtering Recommendation Algorithm Incorporated with Life Cycle

Authors
Chonglin Zheng, Kuangrong Hao, Yongshen Ding
Corresponding Author
Chonglin Zheng
Available Online April 2013.
DOI
https://doi.org/10.2991/icsem.2013.224How to use a DOI?
Keywords
Collaborative filtering, Time information, User interest, 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.
Open Access
This is an open access article distributed under the CC BY-NC license.

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Proceedings
2nd International Conference On Systems Engineering and Modeling (ICSEM-13)
Part of series
Advances in Intelligent Systems Research
Publication Date
April 2013
ISBN
978-94-91216-42-8
ISSN
1951-6851
DOI
https://doi.org/10.2991/icsem.2013.224How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Chonglin Zheng
AU  - Kuangrong Hao
AU  - Yongshen Ding
PY  - 2013/04
DA  - 2013/04
TI  - A Collaborative Filtering Recommendation Algorithm Incorporated with Life Cycle
BT  - 2nd International Conference On Systems Engineering and Modeling (ICSEM-13)
PB  - Atlantis Press
SN  - 1951-6851
UR  - https://doi.org/10.2991/icsem.2013.224
DO  - https://doi.org/10.2991/icsem.2013.224
ID  - Zheng2013/04
ER  -