TY - GEN
T1 - An E-commerce recommendation approach based on collaborative preferences extension clustering
AU - Pang, Xiu Li
AU - Wei, Jiang
PY - 2013
Y1 - 2013
N2 - E-commerce recommendation helps consumers to find the products and services they want. Challenging research problems in E-commerce remain. The existing methods tend to use the same theme granularity. However due to the consumer's individual differences and the context of the consumer tasks, different consumers are not possible to understand all the same. Meanwhile, the data sparsity reduces the accuracy of the recommendation system. In this paper, we propose an approach on collaborative preferences extension based E-commerce recommendation that overcomes these drawbacks and try to find the hidden theme preferences, based on the collaborative extension SOM clustering method. We describes our method in three stages: collaborative preferences expansion, preference feature construction, and preferences clustering stage. Experiments show that the proposed approach is effective.
AB - E-commerce recommendation helps consumers to find the products and services they want. Challenging research problems in E-commerce remain. The existing methods tend to use the same theme granularity. However due to the consumer's individual differences and the context of the consumer tasks, different consumers are not possible to understand all the same. Meanwhile, the data sparsity reduces the accuracy of the recommendation system. In this paper, we propose an approach on collaborative preferences extension based E-commerce recommendation that overcomes these drawbacks and try to find the hidden theme preferences, based on the collaborative extension SOM clustering method. We describes our method in three stages: collaborative preferences expansion, preference feature construction, and preferences clustering stage. Experiments show that the proposed approach is effective.
KW - E-commerce recommendation
KW - collaborative preferences
KW - feature extraction
KW - preference feature construction
UR - https://www.scopus.com/pages/publications/84884301680
U2 - 10.1109/ICMSE.2013.6586261
DO - 10.1109/ICMSE.2013.6586261
M3 - 会议稿件
AN - SCOPUS:84884301680
SN - 9781479904716
T3 - International Conference on Management Science and Engineering - Annual Conference Proceedings
SP - 51
EP - 56
BT - 2013 International Conference on Management Science and Engineering, ICMSE 2013 - 20th Annual Conference Proceedings
T2 - 2013 20th International Conference on Management Science and Engineering, ICMSE 2013
Y2 - 17 July 2013 through 19 July 2013
ER -