GRSK: A Generalist Recommender System
نویسندگان
چکیده
This paper describes the main characteristics of GRSK, a Generalist Recommender System Kernel. It is a RS based on the semantic description of the domain, which allows the system to work with any domain as long as the data of this domain can be defined through an ontology representation. GRSK uses several Basic Recommendation and Hybrid Techniques to obtain the recommended items. Through the GRSK configuration process, it is possible to select which techniques to use and to parameterize different aspects of the recommendation process, in order to adjust the GRSK behavior to the particular application domain. The experimental results will show that GRSK can be successfully used with different domains.
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