Title :
Location based personalized restaurant recommendation system for mobile environments
Author :
Gupta, Arpan ; Singh, Karam
Author_Institution :
Sch. of Comput. Sci. & Eng., VIT Univ., Vellore, India
Abstract :
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.
Keywords :
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; Databases; Informatics; Mobile communication; Recommender systems; Social network services; Text categorization; Training data; Location Based Service; M-commerce; Machine Learning; Recommendation System; foursquare;
Conference_Titel :
Advances in Computing, Communications and Informatics (ICACCI), 2013 International Conference on
Conference_Location :
Mysore
Print_ISBN :
978-1-4799-2432-5
DOI :
10.1109/ICACCI.2013.6637223
