The Generalist Recommender System GRSK and Its Extension to Groups

Autor:	Inma Garcia, Sergio Pajares, Eva Onaindia, Laura Sebastia
Rok vydání:	2011
Předmět:	World Wide Web Information retrieval Process (engineering) Application domain Computer science Kernel (statistics) Extension (predicate logic) Recommender system Ontology (information science) Generalist and specialist species Domain (software engineering)
Zdroj:	Lecture Notes in Business Information Processing ISBN: 9783642228094 WEBIST (Selected Papers)
DOI:	10.1007/978-3-642-22810-0_16
Popis:	This paper presents a Generalist Recommender System Kernel (GRSK) and describes the differences of the recommendation process when it is applied to groups. The GRSK is able to work with any domain as long as the domain description is represented within an ontology. Several basic techniques like demographics, content-based or collaborative are used to elicit the recommendations, as well as other hybrid techniques. The GRSK provides a configuration process through which to select the techniques and parameters that best suit the particular application domain. The experiments will show the success of the GRSK in different domains. We also outline the changes and new techniques required by the GRSK when it is used in a group recommendation.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::dcde51b28d22a89bda1814d10bce3b2b https://doi.org/10.1007/978-3-642-22810-0_16 Zobrazit plný text záznamu