An approach to integration of contextual information in case-based recommender systems

In this paper we describe a case based approach to product recommendation process in which contextual information are integrated. The integration of contextual information into recommender systems adds an additional information value to the recommender data model. In order to evaluate the effects of the integration of contextual information, the case representation with integrated contextual information is compared with the case representation without contextual information. We compare these two approaches to case representation in terms of the two metrics widely used in information retrieval (recall and precision).