The problem of building recommender systems has attracted considerable attention in recent years. The objective of this paper is to automatically suggest and rank a list of new it...
We present Shoechicken, an intelligent agentbased system for rating RSS and Atom news content based on user preferences. The system builds a user profile implicitly by observing a...
Current BtoC recommendation services utilize consumers’ purchased log as criteria for selecting information, yet it includes little information of the reason why he bought the i...
The explosive growth of the world-wide-web and the emergence of e-commerce has led to the development of recommender systems—a personalized information filtering technology use...
In today’s grocery the products are getting more homogenous and attributes are getting more complex. Consumers should be supported in their decisions during the shopping process...