Food Dishes Recommendation System Based on Mobile Context-Aware Services

Authors(3) :-Imran Shaikh, Manitha Samarsen, Punita Vyas

Context information, such as user location, age, and user profile, Gender, Comments has been popularly applied to analyze user behaviour. In this paper, we develop a Food Dishes recommendation system based on mobile context aware services to provide customized information for users. We analyze the service satisfaction ratings of the users to recommend favored Food Dishes for them. With mobile context awareness, the proposed framework can substantially enhance the capacity to satisfy the user demands for Food Dishes recommendations.

Authors and Affiliations

Imran Shaikh
Computer Engineering Department, AAEMF’S COE & MS, Koregaonbhima, Pune, Maharashtra, India
Manitha Samarsen
Computer Engineering Department, AAEMF’S COE & MS, Koregaonbhima, Pune, Maharashtra, India
Punita Vyas
Computer Engineering Department, AAEMF’S COE & MS, Koregaonbhima, Pune, Maharashtra, India

Android, Big Data, HDFS, Hadoop, Mapreduce, Smart Phones.

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Publication Details

Published in : Volume 2 | Issue 3 | May-June 2016
Date of Publication : 2016-06-30
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 465-468
Manuscript Number : IJSRSET1623143
Publisher : Technoscience Academy

Print ISSN : 2395-1990, Online ISSN : 2394-4099

Cite This Article :

Imran Shaikh, Manitha Samarsen, Punita Vyas, " Food Dishes Recommendation System Based on Mobile Context-Aware Services, International Journal of Scientific Research in Science, Engineering and Technology(IJSRSET), Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 2, Issue 3, pp.465-468, May-June-2016.
Journal URL : http://ijsrset.com/IJSRSET1623143

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