Research on Personalized Commodity Recommendation Method Based on the Fuzzy Semantics

DOI

10.2991/snce-18.2018.220How to use a DOI?

Keywords

Fuzzy semantics; Personalized recommendation; E-commerce; FALC syntax; Interest degree

Abstract

In order to meet the need of semantics recommendation to personalized commodity in e-commerce, the model based on fuzzy semantics personalized recommendation system is built to describe the integrated user’s interest feature and commodity information. The user’s interest degree of commodity and the correlation degree of commodity and interest are described using FALC syntax, and the related algorithm is used to complete user’s interest data-mining. The experiment shows that the personalized recommendation method and model based on fuzzy semantics can make the e-commerce system to describe fuzzy commodity concept and recommend more appropriate goods to users.

Copyright

© 2018, 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  - Jingjing Jiang
AU  - Sheng Guan
AU  - Yao Li
AU  - Xiangwei Mu
PY  - 2018/05
DA  - 2018/05
TI  - Research on Personalized Commodity Recommendation Method Based on the Fuzzy Semantics
BT  - Proceedings of the 8th International Conference on Social Network, Communication and Education (SNCE 2018)
PB  - Atlantis Press
SP  - 1062
EP  - 1067
SN  - 2352-538X
UR  - https://doi.org/10.2991/snce-18.2018.220
DO  - 10.2991/snce-18.2018.220
ID  - Jiang2018/05
ER  -