User Modeling for Personalized Recommender Systems  

作　　者：LIU Lu WU Lihua 

机构地区：[1]School of Economics and Management, Beihang University, Beijing 100083, China Department of Information Systems, Beijing Information Science and Technology University,Beijing 100101, China

出　　处：《Tsinghua Science and Technology》2005年第z1期772-777,共6页清华大学学报（自然科学版（英文版）

基　　金：Supported by the National Natural Science Foundation of China (No. 70371004); the Ph. D. Program Foundation of the Ministry of Education, China ( No. 20040006023)

摘　　要：This paper models a user's interest and value related characteristics based on the extension by using neural networks and econometric techniques to the concept of user model in recommender systems. A two-dimensional taxonomy of user model was proposed in terms of the content and persistence of user characteristics. A user interest model and a customer lifetime value model were developed for the proposed taxonomy framework, to capture the time-dependent evolving nature of user's interests and his/her long-term profitability. The proposed models were empirically validated by using real customer data from a bee product company in health care industry. The experimental results show that these models provide effective assistant tools for the company to target its most valuable customers and implement one-to-one personalized services.

关 键 词：user INTEREST model CUSTOMER LIFETIME value (CLV) RECOMMENDER systems CUSTOMER relationship management (CRM) e-commerce 

分 类 号：N[自然科学总论]