Domain-knowledge Driven Recommendation Method and Its Application

摘要：

In order to tackle the problems of current recommendation system, such as lack of domain knowledge and limited applications in e-commerce field, a domain-driven recommendation method based on binary data is proposed in this paper. By introducing the importance of domain knowledge and its application in recommendation, we discuss how to combine domain knowledge with collaborative filtering and apply it on binary purchasing data. Empirical result on supermarket dataset shows that domaindriven recommendation method outperforms other recommendation methods on three common evaluating indicators.

关键词： domain knowledge collaborative filtering recommendation

作者: Lingling Zhang Xiaojie Zhang Quan Chen Zhengxiang Zhu Yong Shi

作者单位: School of Management, Graduate University of Chinese Academy of Science, Beijing 100190, China Resea Research Center on Fictitious Economy and Data Science, CAS, Beijing 100190, China Research Center on Fictitious Economy and Data Science, CAS, Beijing 100190, China School of Managem

会议类型: 国际会议

会议名称: The Fourth International Joint Conference on Computational Science and Optimization(第四届计算科学与优化国际大会 CSO 2011)

会议地点: 昆明、丽江

会议语种:英文

页码: 21-25

在线出版日期: 2011-04-15（万方平台首次上网日期，不代表论文的发表时间）