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bd40bc7c7a Therefore, the need to use efficient and accurate recommendation techniques within a system that will provide relevant and dependable recommendations for users cannot be over-emphasized.2. View full text Egyptian Informatics JournalVolume 16, Issue 3, November 2015, Pages 261273 Open Access REVIEWRecommendation systems: Principles, methods and evaluation F.O. Recommender system was defined as a means of assisting and augmenting the social process of using recommendations of others to make choices when there is no sufficient personal knowledge or experience of the alternatives . Some suggestions: Go back to the last page Go to the home page .. A hybrid recommendation technique is also proposed in Ghazantar and Pragel-Benett , and this uses the content-based profile of individual user to find similar users which are used to make predictions. Citing articles (0) This article has not been cited. 403 Forbidden . These techniques combine two or more filtering approaches in order to harness their strengths while leveling out their corresponding weaknesses .
Finally, a general unified model which incorporates both content-based and collaborative filtering properties could be developed . Please note that Internet Explorer version 8.x will not be supported as of January 1, 2016. Close ScienceDirectSign inSign in using your ScienceDirect credentialsUsernamePasswordRemember meRegister nowForgotten username or password?Sign in via your institutionOpenAthens loginOther institution loginHelpJournalsBooksJournalsBooksSign inHelpcloseSign in using your ScienceDirect credentialsUsernamePasswordRemember meRegister nowForgotten username or password?Sign in via your institutionOpenAthens loginOther institution login . They reduce transaction costs of finding and selecting items in an online shopping environment . message . The system uses collaborative filtering method to overcome scalability issue by generating a table of similar items offline through the use of item-to-item matrix. . Recently, various approaches for building recommendation systems have been developed, which can utilize either collaborative filtering, content-based filtering or hybrid filtering , and. A music recommendation system which combined tagging information, play counts and social relations was proposed in Konstas et al. In Ziegler et al.