On a Hybrid Rule Based Recommender System

Author

Zhang, Feng ; Chang, Hui-you

Author_Institution

Sch. of Inf. Sci. & Technol., Sun Yat-sen Univ., Guangzhou

fYear

2005

fDate

21-23 Sept. 2005

Firstpage

194

Lastpage

198

Abstract

Compared with relative recently-reported counterparts, a novel recommender system prototype is implemented. Its efforts focus on the three essential issues as a whole that recommender systems have to handle: data source, data modeling and recommendation strategy. It is based on a common data format and introduces a hybrid-rule model with a strategy of one-round table scanning. Laboratory experiment results show that this recommender system produces a better outcome

Keywords

Internet; data mining; electronic commerce; information filtering; knowledge based systems; association-rule mining; data model; data source; electronic commerce; hybrid rule based recommender system; one-round table scanning; sequential-rule mining; Association rules; Collaborative work; Data mining; Electronic commerce; Engines; Filtering; History; Information science; Recommender systems; Sun; Algorithm; Association-rule Mining; E-commerce; Recommender System; Sequential-rule Mining;

fLanguage

English

Publisher

ieee

Conference_Titel

Computer and Information Technology, 2005. CIT 2005. The Fifth International Conference on

Conference_Location

Shanghai

Print_ISBN

0-7695-2432-X

Type

conf

DOI

10.1109/CIT.2005.147

Filename

1562650

Link To Document

https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2826505