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Date: 2016-07-30 20:21:57 Information science Information retrieval Natural language processing Recommender system Image retrieval Search engine indexing		E:/Gatech/Research-Recommender System/paper_work/VAST14_poster/choo_vast14poster_visirr.dvi Add to Reading List Source URL: www.zcliu.org Download Document from Source Website File Size: 2,36 MB Share Document on Facebook

	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 DocID: 1xVQo - View Document
	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 DocID: 1tE3G - View Document
	Privacy Assessment of Data Flow Graphs for an Advanced Recommender System in the Smart Grid Fabian Knirsch1 , Dominik Engel1 , Cristian Neureiter1 , Marc Frincu2 , and Viktor Prasanna2 1 DocID: 1sXaB - View Document
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	RiVal – A Toolkit to Foster Reproducibility in Recommender System Evaluation Alan Said Alejandro Bellogín DocID: 1sgiJ - View Document