A Network-based Multi-dimensional Recommendation Algorithm

DOI

10.2991/icsem.2013.177How to use a DOI?

Keywords

Bipartite network, Projection, Recommendation, Multi-dimensional recommendation.

Abstract

Personalized recommendation based on bipartite network has attracted more and more attention. It’s obviously better than CF (Collaborative Filtering). In this paper, we propose a multi-dimensional recommendation algorithm called BNPM. It combines item-based, user-based and category-based recommendation model to improve recommendation quality. The experimental results show that the algorithm can improve the diversity and reduce the popularity on the base of holding the accuracy of the recommendation

Copyright

© 2013, 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  - Xiangyun Xiong
AU  - Yuchen Fu
AU  - Zhaoqing Liu
PY  - 2013/04
DA  - 2013/04
TI  - A Network-based Multi-dimensional Recommendation Algorithm
BT  - Proceedings of the 2nd International Conference On Systems Engineering and Modeling (ICSEM 2013)
PB  - Atlantis Press
SP  - 856
EP  - 860
SN  - 1951-6851
UR  - https://doi.org/10.2991/icsem.2013.177
DO  - 10.2991/icsem.2013.177
ID  - Xiong2013/04
ER  -