Food Recommendation: Framework, Existing Solutions, and Challenges

doi:10.1109/TMM.2019.2958761

	Food Recommendation: Framework, Existing Solutions, and Challenges
	Min, Weiqing 1,2; Jiang, Shuqiang 1,3; Jain, Ramesh 4
	2020-10-01
发表期刊	IEEE TRANSACTIONS ON MULTIMEDIA
ISSN	1520-9210
卷号	22 期号:10 页码:2659-2671
摘要	A growing proportion of the global population is becoming overweight or obese, leading to various diseases (e.g., diabetes, ischemic heart disease and even cancer) due to unhealthy eating patterns, such as increased intake of food with high energy and high fat. Food recommendation is of paramount importance to alleviate this problem. Unfortunately, modern multimedia research has enhanced the performance and experience of multimedia recommendation in many fields such asmovies and POI, yet largely lags in the food domain. This article proposes a unified framework for food recommendation, and identifies main issues affecting food recommendation including incorporating various context and domain knowledge, building the personal model, and analyzing unique food characteristics. We then review existing solutions for these issues, and finally elaborate research challenges and future directions in this field. To our knowledge, this is the first survey that targets the study of food recommendation in the multimedia field and offers a collection of research studies and technologies to benefit researchers in this field.
关键词	Artificial intelligence knowledge based systems image recognition data mining health information management
DOI	10.1109/TMM.2019.2958761
收录类别	SCI
语种	英语
资助项目	National Natural Science Foundation of China[61532018] ; National Natural Science Foundation of China[61972378] ; Beijing Natural Science Foundation[L182054] ; National Program for Special Support of Eminent Professionals ; National Program for Support of Top-Notch Young Professionals ; StateKey Laboratory of Robotics
WOS研究方向	Computer Science ; Telecommunications
WOS类目	Computer Science, Information Systems ; Computer Science, Software Engineering ; Telecommunications
WOS记录号	WOS:000572628000012
出版者	IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
引用统计	被引频次：49[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://119.78.100.204/handle/2XEOYT63/15583
专题	中国科学院计算技术研究所期刊论文_英文
通讯作者	Jiang, Shuqiang
作者单位	1.Chinese Acad Sci, Key Lab Intelligent Informat Proc, Inst Comp Technol, Beijing 100190, Peoples R China 2.Chinese Acad Sci, State Key Lab Robot, Shenyang Inst Automat, Shenyang 110016, Peoples R China 3.Univ Chinese Acad Sci, Beijing 100049, Peoples R China 4.Univ Calif Irvine, Dept Comp Sci, Irvine, CA 92697 USA
推荐引用方式 GB/T 7714	Min, Weiqing,Jiang, Shuqiang,Jain, Ramesh. Food Recommendation: Framework, Existing Solutions, and Challenges[J]. IEEE TRANSACTIONS ON MULTIMEDIA,2020,22(10):2659-2671.
APA	Min, Weiqing,Jiang, Shuqiang,&Jain, Ramesh.(2020).Food Recommendation: Framework, Existing Solutions, and Challenges.IEEE TRANSACTIONS ON MULTIMEDIA,22(10),2659-2671.
MLA	Min, Weiqing,et al."Food Recommendation: Framework, Existing Solutions, and Challenges".IEEE TRANSACTIONS ON MULTIMEDIA 22.10(2020):2659-2671.