Yum-Me: A Personalized Nutrient-Based Meal Recommender System LONGQI YANG, Cornell Tech, Cornell University CHENG-KANG HSIEH, University of California, Los Angeles HONGJIAN YANG and JOHN P. POLLAK, Cornell Tech, Cornell

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Date: 2018-10-25 09:08:21 Collective intelligence Information systems Information science Information E-commerce Computing Recommender system Cold start Food Preference elicitation Nutrition Personalization		Yum-Me: A Personalized Nutrient-Based Meal Recommender System LONGQI YANG, Cornell Tech, Cornell University CHENG-KANG HSIEH, University of California, Los Angeles HONGJIAN YANG and JOHN P. POLLAK, Cornell Tech, Cornell Add to Reading List Source URL: www.cs.cornell.edu Download Document from Source Website File Size: 2,71 MB Share Document on Facebook

	CANADIAN NUTRITION SCREENING TOOL (CNST) Name: Age: Weight: DocID: 1xVZH - View Document
	CANADIAN NUTRITION SCREENING TOOL (CNST) Name: Age: Weight: DocID: 1xVHO - View Document
	Part of a presentation given at the Canadian Nutrition Society Conference Manon Laporte RD, MSc Junerevised February 2015) DocID: 1xUAC - View Document
	CANADIAN NUTRITION SCREENING TOOL (CNST) Name: Age: Weight: DocID: 1xUgX - View Document
	Volunteer Programs to Support Standard Care The chart below provides a few examples from More-2-Eat of mealtime volunteer programs that could be used for standard nutrition care. Recruitment Training DocID: 1xTzx - View Document