An Improved Collaborative Filtering Recommendation Algorithm

DOI

10.2991/mmebc-16.2016.276How to use a DOI?

Keywords

Collaborative Filtering, Recommendation, CLIQUE, Recommended Efficiency.

Abstract

With the inflationary development of data sizes, the traditional recommendation system the recommendation efficiency of the recommendation system encounters a great challenge. This paper proposes an improved collaborative filtering algorithm. The algorithm firstly implements the clustering operation data, takes average rating and evaluated times of item as dimension of two dimensional grids, and then implements clustering based on item with CLIQUE grid clustering algorithm in accordance with item similarity. The corresponding experiment shows the method can significantly improve the recommendation efficiency of the recommendation system.

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  - Liyong Wan
AU  - Lei Xia
PY  - 2016/06
DA  - 2016/06
TI  - An Improved Collaborative Filtering Recommendation Algorithm
BT  - Proceedings of the 2016 6th International Conference on Machinery, Materials, Environment, Biotechnology and Computer
PB  - Atlantis Press
SP  - 1354
EP  - 1357
SN  - 2352-5401
UR  - https://doi.org/10.2991/mmebc-16.2016.276
DO  - 10.2991/mmebc-16.2016.276
ID  - Wan2016/06
ER  -