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New Technology of Library and Information Service  2014, Vol. 30 Issue (4): 14-19    DOI: 10.11925/infotech.1003-3513.2014.04.03
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Book Recommendation System Based on Folksonomy in Library
Luo Lin, Liang Guisheng, Cai Jun
Center for the Studies of Information Resources, Wuhan University, Wuhan 430072, China
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[Objective] This paper tries to build a book recommender system based on folksonomy, which forms the triple relations among the users, resources and tags. [Methods] This papercalculates the cosine similarity and weights of books and tags, use sparse vector representation to represent the input matrix for each resource to compress sparse matrix. [Results] Experimental results show that the book weights varied from 0 to 200 and the tag weights followed a power law distribution. In the end, the relevant assessments are performed with the AP and MAP indicators. [Limitations] It fails to get enough data in the library catalogs, hence collects the additional data in [Conclusions] The recommendation system can help the OPACs to improve its function and personalized services.

Key wordsFolksonomy      Book recommendation      Recommendation system     
Received: 30 December 2013      Published: 19 May 2014
:  G250  

Cite this article:

Luo Lin, Liang Guisheng, Cai Jun. Book Recommendation System Based on Folksonomy in Library. New Technology of Library and Information Service, 2014, 30(4): 14-19.

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