Document (#34583)

Author

Gao, K.
Wang, Y.-C.
Wang, Z.-Q.

Title

Similar interest clustering and partial back-propagation-based recommendation in digital library

Source

Library hi tech. 23(2005) no.4, S.587-597

Year

2005

Abstract

Purpose - This purpose of this paper is to propose a recommendation approach for information retrieval. Design/methodology/approach - Relevant results are presented on the basis of a novel data structure named FPT-tree, which is used to get common interests. Then, data is trained by using a partial back-propagation neural network. The learning is guided by users' click behaviors. Findings - Experimental results have shown the effectiveness of the approach. Originality/value - The approach attempts to integrate metric of interests (e.g., click behavior, ranking) into the strategy of the recommendation system. Relevant results are first presented on the basis of a novel data structure named FPT-tree, and then, those results are trained through a partial back-propagation neural network. The learning is guided by users' click behaviors.

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