Location based personalized restaurant recommendation system for mobile environments
Advances in Computing, Communications and Informatics（2013）
摘要
Restaurant recommendation system is a very popular service whose accuracy and sophistication keeps increasing every day. With the advent of smartphones, web 2.0 and internet services like 3G, this has become accessible by every consumer. In this paper, we present a personalized location based restaurant recommendation system integrated in mobile technology. It ubiquitously studies the user's behavioral pattern of visiting restaurant using a Machine Learning algorithm. We also address the issues faced by today's recommendation systems and propose methods to rectify it.
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关键词
Internet,behavioural sciences computing,catering industry,learning (artificial intelligence),mobile computing,recommender systems,Internet services,Web 2.0,location based personalized restaurant recommendation system,machine learning algorithm,mobile environments,mobile technology,smartphones,user behavioral pattern,Location Based Service,M-commerce,Machine Learning,Recommendation System,foursquare
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