A Study on Online Consuming Tendency Model

摘要

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 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.