The Research of E-commerce Recommendation System Based on Collaborative Filtering Technology-Reference-Cited by-同舟云学术

The Research of E-commerce Recommendation System Based on Collaborative Filtering Technology

Published:2012 Issue: Volume: Page:507-512
ISSN:1867-5662
Container-title:Advances in Intelligent and Soft Computing
language:
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Author:

Zhang ZhiQiang,Qian SuJuan

Publisher

Springer Berlin Heidelberg

Link

http://link.springer.com/content/pdf/10.1007/978-3-642-30126-1_80.pdf

Reference4 articles.

1. Fu, X., Budzik, J., Hammond, K.I.: Mining navigation history for recommebdatuib. In: Proceedings of 2000 International Conference Intelligent User Interfaces, pp. 106–112. ACM, New Orleans (2000)

2. Karypis, G.: Evaluation of Item-Based Top-N Recommendation Algorithms. In: Proceedings of the Tenth International Conference on Information and Knowledge Management, Atlanta, Georgia, USA, pp. 247–254 (2001)

3. Sarwar, B., Karypis, G., Konstan, J., Riedl, J.: Analysis of recommendation algorithms for E-commerce. In: ACM Conference on Electronic Commerce, pp. 158–167 (2000)

4. Fu, X., Budzik, J., Hammond, K.I.: Mining navigation history for recommebdatuib. In: Proceedings of 2000 International Conference Intelligent User Interfaces, pp. 106–112. ACM, New Orleans (2000)

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