SHANDONG SCIENCE ›› 2016, Vol. 29 ›› Issue (2): 101-105.doi: 10.3976/j.issn.1002-4026.2016.02.019

• Other Research Article • Previous Articles     Next Articles

Application of ontology technology in personalized recommendation system

FAN Zhongyong1,ZHANG Zhijun2*,ZHANG Pengfei2   

  1. 1. Rizhao Radio &TV University, Rizhao 276826, China;
    2. School of Computer Science and Technology, Shandong Jianzhu University, Jinan 250101, China
  • Received:2015-08-17 Published:2016-04-20 Online:2016-04-20

Abstract:

In view of the negatives of conventional user modeling technology in personalized recommendation system, we apply the theory and method of domain ontology to personalized recommendation of ecommerce, and design an ontology technology and clothing information combined recommendation model. We implement the construction procedure of clothing ontology with ontology editor tool Protégé. Feasibility and effectiveness of the model are verified on practical datasets. It has higher prediction accuracy, as compared with existing recommendation models.

Key words: ontology, personalized recommendation, web crawler, preference prediction, collaborative filtering

CLC Number: 

  • TP391

Open Access This article is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License (CC BY-NC 4.0), which permits third parties to freely share (i.e., copy and redistribute the material in any medium or format) and adapt (i.e., remix, transform, or build upon the material) the articles published in this journal, provided that appropriate credit is given, a link to the license is provided, and any changes made are indicated. The material may not be used for commercial purposes. For details of the CC BY-NC 4.0 license, please visit: https://creativecommons.org/licenses/by-nc/4.0