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View all- Elsweiler DHauptmann HTrattner C(2012)Food Recommender SystemsRecommender Systems Handbook10.1007/978-1-0716-2197-4_23(871-925)Online publication date: 24-Feb-2012
Flavour Enhanced Food Recommendation
Authors: 
Nitish Nag, 
Aditya Narendra Rao, Akash Kulhalli, Kushal Samir Mehta, Nishant Bhattacharya, Pratul Ramkumar, Aditya Bharadwaj, Dinkar Sitaram, Ramesh JainAuthors Info & Claims
Nitish Nag, Aditya Narendra Rao, Akash Kulhalli, Kushal Samir Mehta, Nishant Bhattacharya, Pratul Ramkumar, Aditya Bharadwaj, Dinkar Sitaram, Ramesh JainAuthors Info & ClaimsPages 60 - 66
Abstract
We propose a mechanism to use the features of flavour to enhance the quality of food recommendations. An empirical method to determine the flavour of food is incorporated into a recommendation engine based on major gustatory nerves. Such a system has advantages of suggesting food items that the user is more likely to enjoy based upon matching with their flavour profile through use of the taste biological domain knowledge. This preliminary intends to spark more robust mechanisms by which flavour of food is taken into consideration as a major feature set into food recommendation systems. Our long term vision is to integrate this with health factors to recommend healthy and tasty food to users to enhance quality of life.
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October 2019
94 pages
ISBN:9781450369169
DOI:10.1145/3347448
- General Chairs:
- Stavroula Mougiakakou,
- Giovanni Maria Farinella,
- Keiji Yanai
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Published: 15 October 2019
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View all- Elsweiler DHauptmann HTrattner C(2012)Food Recommender SystemsRecommender Systems Handbook10.1007/978-1-0716-2197-4_23(871-925)Online publication date: 24-Feb-2012
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