SIRR: Semantically Infused Recipe Recommendation Model Using Ontology Focused Machine Intelligence
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Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-99-4634-1_44
Reference21 articles.
1. Nilesh N, Kumari M, Hazarika P, Raman V (2019) Recommendation of Indian cuisine recipes based on ingredients. In: 2019 IEEE 35th international conference on data engineering workshops (ICDEW), pp 96–99
2. Vivek MB, Manju N, Vijay MB (2018) Machine learning based food recipe recommendation system. In: Guru D, Vasudev T, Chethan H, Kumar Y (eds) Proceedings of international conference on cognition and recognition. Lecture notes in networks and systems, vol 14. Springer, Singapore
3. Qi M, Neeman Y, Eckhardt F, Blissett K (2018) WhatToMake: a semantic web application for recipe recommendation. Rensselaer Polytechnic Institute
4. Haussmann S, Seneviratne O, Chen Y, Ne’eman Y, Codella J, Chen CH, McGuinness DL, Zaki MJ (2019) FoodKG: a semantics-driven knowledge graph for food recommendation. In: International semantic web conference. Springer, Cham, pp 146–162
5. Ting YH, Zhao Q, Chen RC (2014) Dietary recommendation based on recipe ontology. In: 2014 IEEE 6th international conference on awareness science and technology (iCAST). IEEE, pp 1–6
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