Analysis of Personalized Information Mining and Recommendation Technology in E-Commerce based on Semantic Web Ontology
- https://doi.org/10.2991/icemc-17.2017.40How to use a DOI?
- Semantic Web; Ontology; E-commerce; Personalized recommendation system; Web mining
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.
- © 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/).
Cite this article
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 - https://doi.org/10.2991/icemc-17.2017.40 ID - Hongsheng2016/06 ER -