GroupLens: an open architecture for collaborative filtering of netnews
CSCW '94 Proceedings of the 1994 ACM conference on Computer supported cooperative work
Fab: content-based, collaborative recommendation
Communications of the ACM
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Since the Internet has been widely common in our everyday lives, quite a few benefit has been provided to our lives, whereas we also face a big problem to find necessary information from enormous information sources on the Web. Therefore, information recommendation systems have been required and studied hard in these days. Many information recommendation systems have been proposed, and most systems have to possess and manage quite a few amounts of data such as users' profile information, history of operation behaviors, etc. In this sense, it costs much to develop a system, though we can receive useful services from the system. In this paper, we do not aim to develop such an expensive information recommendation system, but to develop a system, working beside normal search engine, that recommends information related to user's interest, i.e., user's inquiry to search engine.