Design of Decision-making Process Based Personalized Recommendation System

DOI

10.2991/iccita-16.2016.12How to use a DOI?

Keywords

decision-making process, personalized recommendation, profitability, diversity, precision

Abstract

In-depth development of e-business requires the combination of information technology and principles des affaires. Most existing personalized recommendation systems emphasize the precision of contents, but neglect the profitability of results recommended and the diversity of recommended lists. Proceeding from the decision-making process of consumers and enterprises, this paper simplified the decision-making process of consumers to awareness and satisfaction, and the decision-making process of enterprises to response to recommendation and profit calculation, designed a three-tier personalized recommendation system with the profit maximization for merchandize recommended by enterprise as the objective, and provided logic algorithms for the data supporting tier, the classification tier and the recommendation result tier. Experimental results of the system indicated that good results have been achieved in terms of precision, diversity and profitability of recommendation.

Copyright

© 2016, 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  - Ya Luo
PY  - 2016/05
DA  - 2016/05
TI  - Design of Decision-making Process Based Personalized Recommendation System
BT  - Proceedings of the 2016 International Conference on Computer and Information Technology Applications
PB  - Atlantis Press
SP  - 60
EP  - 67
SN  - 2352-538X
UR  - https://doi.org/10.2991/iccita-16.2016.12
DO  - 10.2991/iccita-16.2016.12
ID  - Luo2016/05
ER  -