Personalized Recommendation Systems: An Application in Case-based Reasoning

DOI

10.2991/cas-15.2015.88How to use a DOI?

Keywords

case based reasoning; personalized recommendation system; case similarity; case retrieval.

Abstract

This paper explores the application of case-based reasoning (CBR) to personal recommender system. The proposed approach incorporates users’ characteristics as well as the object’s attributes. Important aspects of the approach are similarity determination and case retrieval techniques are described. It is proposed that such a focus can lead to more effective personal recommendation system. This paper focused on the case similarity determining tactics and case retrieval tactics.

Copyright

© 2015, 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  - Sun Jieli
AU  - Qingwei Zhao
AU  - Solomon Antony
AU  - Si Chen
PY  - 2015/08
DA  - 2015/08
TI  - Personalized Recommendation Systems: An Application in Case-based Reasoning
BT  - Proceedings of the 2015 AASRI International Conference on Circuits and Systems
PB  - Atlantis Press
SP  - 369
EP  - 371
SN  - 2352-538X
UR  - https://doi.org/10.2991/cas-15.2015.88
DO  - 10.2991/cas-15.2015.88
ID  - Jieli2015/08
ER  -