A study on personalized information recommending agents

H. Shibata, Takashige Hoshiai, M. Kubota
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引用次数: 2

Abstract

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.
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个性化信息推荐代理研究
本文提出了适合于内容推荐服务的服务模型、业务模型和代理模型。CR服务向用户提供通过网络分发的内容,而不透露单个用户对哪种类型的服务感兴趣。这些模型可以方便地创建各种类型的CR服务,并在不同的服务之间共享用户的偏好关键词和内容,使每个服务提供商都可以为个人用户提供有趣的内容。
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