12 January 2012 E-book recommender system design and implementation based on data mining
Author Affiliations +
Abstract
In the knowledge explosion, rapid development of information age, how quickly the user or users interested in useful information for feedback to the user problem to be solved in this article. This paper based on data mining, association rules to the model and classification model a combination of electronic books on the recommendation of the user's neighboring users interested in e-books to target users. Introduced the e-book recommendation and the key technologies, system implementation algorithms, and implementation process, was proved through experiments that this system can help users quickly find the required e-books.
© (2012) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Zongjiang Wang, Zongjiang Wang, } "E-book recommender system design and implementation based on data mining", Proc. SPIE 8350, Fourth International Conference on Machine Vision (ICMV 2011): Computer Vision and Image Analysis; Pattern Recognition and Basic Technologies, 835017 (12 January 2012); doi: 10.1117/12.920279; https://doi.org/10.1117/12.920279
PROCEEDINGS
7 PAGES


SHARE
RELATED CONTENT

A review of contrast pattern based data mining
Proceedings of SPIE (July 05 2015)
Incremental information mining
Proceedings of SPIE (March 11 2002)
Automated rapid training of ATR algorithms
Proceedings of SPIE (May 04 2009)
Cycle mining in active database environments
Proceedings of SPIE (April 05 2000)

Back to Top