2nd International Conference On Systems Engineering and Modeling (ICSEM-13)

A Network-based Multi-dimensional Recommendation Algorithm

Authors
Xiangyun Xiong, Yuchen Fu, Zhaoqing Liu
Corresponding Author
Xiangyun Xiong
Available Online April 2013.
DOI
https://doi.org/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
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Proceedings
2nd International Conference On Systems Engineering and Modeling (ICSEM-13)
Part of series
Advances in Intelligent Systems Research
Publication Date
April 2013
ISBN
978-94-91216-42-8
DOI
https://doi.org/10.2991/icsem.2013.177How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

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  - 2nd International Conference On Systems Engineering and Modeling (ICSEM-13)
PB  - Atlantis Press
UR  - https://doi.org/10.2991/icsem.2013.177
DO  - https://doi.org/10.2991/icsem.2013.177
ID  - Xiong2013/04
ER  -