Proceedings of the 2015 AASRI International Conference on Circuits and Systems

Personalized Recommendation Systems: An Application in Case-based Reasoning

Authors
Sun Jieli, Qingwei Zhao, Solomon Antony, Si Chen
Corresponding Author
Sun Jieli
Available Online August 2015.
DOI
https://doi.org/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.
Open Access
This is an open access article distributed under the CC BY-NC license.

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Proceedings
Part of series
Advances in Computer Science Research
Publication Date
August 2015
ISBN
978-94-62520-74-5
ISSN
2352-538X
DOI
https://doi.org/10.2991/cas-15.2015.88How 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  - 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
PB  - Atlantis Press
SP  - 369
EP  - 371
SN  - 2352-538X
UR  - https://doi.org/10.2991/cas-15.2015.88
DO  - https://doi.org/10.2991/cas-15.2015.88
ID  - Jieli2015/08
ER  -