Research of Intelligent recommendation system based on the user and association rules mining for books

DOI

10.2991/iccsae-15.2016.56How to use a DOI?

Keywords

Based on the user, collaborative filtering, association rules mining, books recommended.

Abstract

The increasing number of colleges and universities library books makes users' difficulty of choosing interested books becoming much higher. This paper proposed the research of Intelligent recommendation system based on the user and association rules mining for books. The model integrates the advantages of the collaborative filtering algorithm based on user, and uses association rules produces recommended list. The experimental results show that this model can produce good recommended results.

Copyright

© 2016, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Wei Ji
AU  - Shi Liu
AU  - Yannan Song
AU  - Ji Qi
PY  - 2016/02
DA  - 2016/02
TI  - Research of Intelligent recommendation system based on the user and association rules mining for books
BT  - Proceedings of the 2015 5th International Conference on Computer Sciences and Automation Engineering
PB  - Atlantis Press
SP  - 294
EP  - 299
SN  - 2352-538X
UR  - https://doi.org/10.2991/iccsae-15.2016.56
DO  - 10.2991/iccsae-15.2016.56
ID  - Ji2016/02
ER  -