Recommendation Process in SR1 Web Document Recommender System

Autor:	Dan MUNTEANU
Jazyk:	angličtina
Rok vydání:	2008
Předmět:	web document recommender system content filtering collaborative filtering vector space model Electrical engineering. Electronics. Nuclear engineering TK1-9971 Electronic computers. Computer science QA75.5-76.95
Zdroj:	Analele Universităţii "Dunărea de Jos" Galaţi: Fascicula III, Electrotehnică, Electronică, Automatică, Informatică, Vol 31, Iss 2, Pp 22-25 (2008)
Druh dokumentu:	article
ISSN:	1221-454X
Popis:	This paper presents a recommender system for web documents (given as bookmarks). The system uses for classification a combination of content, event and collaborative filters and for recommendation a modified Pearson-r algorithm. The algorithm for recommendation is using not only the correlation between users but also the similarity between classes. Some experimental results that support this approach are also presented.
Databáze:	Directory of Open Access Journals
Externí odkaz:	https://doaj.org/article/abd9568c51e143b4877dc671a84eb268 Zobrazit plný text záznamu View record in DOAJ