Personalized Food Recommendation—State of Art and Review
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Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-16-7952-0_15
Reference22 articles.
1. Alamdari PM, Navimipour N, Hosseinzadeh M, Safaei A, Darwesh AA (2020) A systematic study on the recommender systems in the E-commerce. IEEE, pp 115694–115716
2. Zhang X, Liu H, Chen X, Zhong J, Wang D (2016) A novel hybrid deep recommendation system to differentiate user’s preference and item’s attractiveness. Inform Sci 306–316
3. Kluver D, Ekstrand M, Konstan J (2018) Rating-based collaborative filtering: algorithms and evaluation. Social Inform Access 344–390
4. Mansoury M, Shajari M (2016) Improving recommender system’s performance on cold-start users and controversial items by a new similarity model. Int J Web Inform Syst 1744–0084
5. Tran T, Felfernig A, Trattner C, Holzinger A (2020) Recommender systems in the healthcare domain: state-of-the-art and research issues. J Intell Inform Syst
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