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

Source URL: www.cs.cornell.edu

• 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

Source URL: vision.cornell.edu

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

Source URL: ganges.usc.edu

A Novel Recommender System in IoT Remo Manuel Frey1, Runhua Xu1, and Alexander Ilic2 I. ABSTRACT In Internet of Things (IoT), selling smart physical objects together with a compatible mobile app becomes an upcoming

Source URL: cocoa.ethz.ch

RiVal – A Toolkit to Foster Reproducibility in Recommender System Evaluation Alan Said Alejandro Bellogín

Source URL: ir.ii.uam.es

A Recommender System for Didactical Approaches in Software Engineering Education Michael Koch, Dieter Landes Faculty of Electrical Engineering and Informatics Coburg University of Applied Sciences and Arts Friedrich-Stre

Source URL: ceur-ws.org

A Hybrid Peer Recommender System for an Online Community of Teachers Cristian Miranda U. Austral de Chile Casilla 567, Valdivia

Source URL: www.kelluwen.cl

Inferring What to Imitate in Manipulation Actions by Using a Recommender System Nichola Abdo Luciano Spinello

Source URL: www2.informatik.uni-freiburg.de

The Fifth International Workshop on Evaluating Information Access (EVIA), June 18, 2013, Tokyo, Japan Evaluating Contextual Suggestion Adriel Dean-Hall Waterloo

Source URL: plg.uwaterloo.ca

• Information science
• Information retrieval
• Information retrieval evaluation
• Recommender system
• Evaluation measures
• Precision and recall
• Relevance
• Ranking
• Discounted cumulative gain

One-Touch Access to Music on Mobile Devices Dominik Schnitzer1,2 ,Tim Pohle1 , Peter Knees1 , and Gerhard Widmer1,2 1 Department of Computational Perception, Johannes Kepler University Linz, Austria 2

Source URL: www.schnitzer.at

• Software
• Computing
• Portable media players
• Music information retrieval
• Music software
• IPod software
• Last.fm
• Playlist
• Non-negative matrix factorization
• Document clustering
• IPod
• Recommender system