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- Title
Algorithm and application of collaborative filtering based on group dynamics.
- Authors
LIU Liang-liang; CAO Han; HAN Ya-nan
- Abstract
As to the issue of scarce matrix and low recommendation accuracy in traditional collaborative filtering algorithm, this paper came up with an collaborative filtering algorithm based on group dynamics of social psychology model. The algorithm adjusted the traditional prediction methods taking fully individual factors and environmental factors into consideration, then recommended to users. Experimental results show that this algorithm can not only achieve better recommendation accuracy and alleviat the data sparsity obviously, but also reduce error accumulation effectively. At last, the algorithm was successfully applied to recommend service of Xi'an attractions.
- Subjects
RECOMMENDER systems; COMPUTER algorithms; DATA analysis; SPARSE matrices; PREDICTION theory; SOCIAL groups
- Publication
Application Research of Computers / Jisuanji Yingyong Yanjiu, 2014, Vol 31, Issue 12, p3603
- ISSN
1001-3695
- Publication type
Article
- DOI
10.3969/j.issn.1001-3695.2014.12.022