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A Context-Awareness Personalized Tourist Attraction Recommendation Algorithm
2016
Cybernetics and Information Technologies
With the rapid development of social networks, location based social network gradually rises. In order to retrieve user's most preferred attractions from a large number of tourism information, personalized recommendation algorithm based on the geographic location has been widely concerned in academic and industry. Aiming at the problem of low accuracy in personalized tourism recommendation system, this paper presents a personalized algorithm for tourist attraction recommendation – RecUFG
doi:10.1515/cait-2016-0084
fatcat:vjvghekjqvdklnky5bmpghl75a