A Study on Online Consuming Tendency Model

Author

Shen, Xuewu

Author_Institution

Sch. of Transp., Wuhan Univ. of Technol., Wuhan

fYear

2009

fDate

23-24 May 2009

Firstpage

1

Lastpage

5

Abstract

To enable recommender systems match the online consumer´s requirements efficiently, online consuming tendency need to be represented in knowledge uniformly where ontology can be exploited. Online consuming tendency is modeled as a set of triple <Goal, Constraint, Preference> where Goal is the product a user searches for, Constraint indicates the conditions a user prescribes that must be satisfied by the attributes of the goals and Preference indicates users´ preferences in specific dimensions of the attributes of the goals. The constraint and preference in product attributes are obtained through mining user´s past browsing behaviors and transaction records. The preference measurement is proposed in this paper.

Keywords

consumer behaviour; information filters; information retrieval; interactive programming; ontologies (artificial intelligence); transaction processing; user interfaces; browsing behaviors; online consumer requirements; online consuming tendency model; ontology; recommender systems; transaction records; user preference; Collaboration; Filtering; Intelligent systems; OWL; Ontologies; Quality of service; Recommender systems; Resource description framework; Semantic Web; Transportation;

fLanguage

English

Publisher

ieee

Conference_Titel

E-Business and Information System Security, 2009. EBISS '09. International Conference on

Conference_Location

Wuhan

Print_ISBN

978-1-4244-2909-7

Electronic_ISBN

978-1-4244-2910-3

Type

conf

DOI

10.1109/EBISS.2009.5137904

Filename

5137904