Analysis of Personalized Information Mining and Recommendation Technology in E-Commerce based on Semantic Web Ontology

DOI

10.2991/icemc-17.2017.40How to use a DOI?

Keywords

Semantic Web; Ontology; E-commerce; Personalized recommendation system; Web mining

Abstract

In this paper, we first introduce the hierarchical structure of semantic Web, the goal of semantic Web, and describe the definition of ontology and the properties of the elements such as concepts, relations, functions, axioms and instances. In this paper, the domain ontology is integrated into the Web mining and personalized recommendation process, which can make full use of the semantic knowledge in preprocessing, pattern discovery and online recommendation. The paper presents analysis of personalized information mining and recommendation technology in e-commerce based on Semantic Web Ontology.

Copyright

© 2017, 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  - Xu Hongsheng
AU  - Li Ke
AU  - Fan Ganglong
PY  - 2016/06
DA  - 2016/06
TI  - Analysis of Personalized Information Mining and Recommendation Technology in E-Commerce based on Semantic Web Ontology
BT  - Proceedings of the 7th International Conference on Education, Management, Information and Computer Science (ICEMC 2017)
PB  - Atlantis Press
SP  - 198
EP  - 202
SN  - 2352-538X
UR  - https://doi.org/10.2991/icemc-17.2017.40
DO  - 10.2991/icemc-17.2017.40
ID  - Hongsheng2016/06
ER  -