Title :
Recommendation engine: Matching individual/group profiles for better shopping experience
Author :
Kulkarnil, Sanjeev ; Sankpal, Ashok M. ; Mudholkar, Ravindra R. ; Kumari, Kiran
Author_Institution :
Dept. of MCA, AITM, Belgaum, India
Abstract :
Research is a conceptual analysis of application of Sensors, Mobiles and Social Network for real world usage scenarios impacting our quality of life and lifestyle. This paper presents enhancing a person or group´s shopping experience in store powered by integration of mobiles, sensors and social network. Matching profiles of individual or group for better shopping experience.
Keywords :
mobile computing; pattern matching; recommender systems; retail data processing; sensors; social networking (online); individual-group profiles matching; mobile application; recommendation engine; sensor application; shopping experience; social network; Internet; Mobile communication; Mobile computing; Mobile handsets; Motion pictures; Sensors; Social network services; Collaborative Recommendations; Content based Recommendations; Individual/ or Group Preferences; Profile Matching; Social Networks;
Conference_Titel :
Advanced Computing Technologies (ICACT), 2013 15th International Conference on
Conference_Location :
Rajampet
Print_ISBN :
978-1-4673-2816-6
DOI :
10.1109/ICACT.2013.6710501
