[PDF][PDF] Using content-based filtering for recommendation

R Van Meteren, M Van Someren - … of the machine learning in the …, 2000 - users.ics.forth.gr
R Van Meteren, M Van Someren
Proceedings of the machine learning in the new information age: MLnet …, 2000users.ics.forth.gr
Finding information on a large web site can be a difficult and time-consuming process.
Recommender systems can help users find information by providing them with personalized
suggestions. In this paper the recommender system PRES is described that uses content-
based filtering techniques to suggest small articles about home improvements. A domain
such as this implicates that the user model has to be very dynamic and learned from positive
feedback only. The relevance feedback method seems to be a good candidate for learning …
Abstract
Finding information on a large web site can be a difficult and time-consuming process. Recommender systems can help users find information by providing them with personalized suggestions. In this paper the recommender system PRES is described that uses content-based filtering techniques to suggest small articles about home improvements. A domain such as this implicates that the user model has to be very dynamic and learned from positive feedback only. The relevance feedback method seems to be a good candidate for learning such a user model, as it is both efficient and dynamic.
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