A study on personalized information recommending agents

This paper proposes a service model, a business model and an agent model that are suitable for content-recommending (CR) services. CR services provide users with content that is distributed over networks without revealing what types of services individual users are interested in. These models facilitate the creation of various types of CR services easily and the sharing of users´ preference keywords as well as content among different services, enabling every service provider to provide interesting content for individual users