Fab: content-based, collaborative recommendation
Communications of the ACM
A Framework for Collaborative, Content-Based and Demographic Filtering
Artificial Intelligence Review - Special issue on data mining on the Internet
Data mining: concepts and techniques
Data mining: concepts and techniques
Web Intelligence
AWIC'03 Proceedings of the 1st international Atlantic web intelligence conference on Advances in web intelligence
Explanation oriented association mining using rough set theory
RSFDGrC'03 Proceedings of the 9th international conference on Rough sets, fuzzy sets, data mining, and granular computing
Empirical analysis of predictive algorithms for collaborative filtering
UAI'98 Proceedings of the Fourteenth conference on Uncertainty in artificial intelligence
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In this paper, inspired by a unified probabilistic model of information retrieval, we propose a general framework of targeted marketing by considering three types of information, namely, the customer profiles, the product profiles, and the transaction databases. The notion of market value functions is introduced, which measure the potential value or profit of marketing a product to a customer. Four sub-models are examined for the estimation of a market value function. Based on market value functions, two targeted marketing strategies, namely, customer-oriented targeted marketing and product-oriented targeted marketing, are suggested. This paper focuses on the conceptual development of the framework. The detailed computation of a market value function and the evaluation of the proposed framework will be reported in another paper.