Fusing meta schema and attribute information's heterogeneous graph model for recipe recommendation
Author:
Affiliation:
1. Nanchang Institute of Technology, China
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3672758.3672828
Reference26 articles.
1. Ueda M. Takahata M. and Nakajima S. 2011. “User's food preference extraction for personalized cooking recipe recommendation ” in ISWC (Bonn).
2. Britto L. Pacífico L. Oliveira E. and Ludermir T. 2020. “A cooking recipe multi-label classification approach for food restriction identification ” in ENIAC (Rio Grande).
3. Eating healthier: Exploring nutrition information for healthier recipe recommendation
4. Yum-Me
5. Freyne J. and Berkovsky S. 2010. “Intelligent food planning: personalized recipe recommendation ” in IUI (Chicago IL).
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