Personalized Recommendation Systems: An Application in Case-based Reasoning
Sun Jieli, Qingwei Zhao, Solomon Antony, Si Chen
Available Online August 2015.
- https://doi.org/10.2991/cas-15.2015.88How to use a DOI?
- case based reasoning; personalized recommendation system; case similarity; case retrieval.
- 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.
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 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 - https://doi.org/10.2991/cas-15.2015.88 ID - Jieli2015/08 ER -