Title :
A Study on Online Consuming Tendency Model
Author_Institution :
Sch. of Transp., Wuhan Univ. of Technol., Wuhan
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;
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
DOI :
10.1109/EBISS.2009.5137904
