<--- Back to Details
First PageDocument Content
Statistical classification / Classifier / Naive Bayes classifier / Recommender system / Supervised learning / Binary classification / Eigenvalues and eigenvectors / Statistics / Machine learning / Algebra
Date: 2014-02-03 01:46:37
Statistical classification
Classifier
Naive Bayes classifier
Recommender system
Supervised learning
Binary classification
Eigenvalues and eigenvectors
Statistics
Machine learning
Algebra

CrossMark_Color_flat+click

Add to Reading List

Source URL: www.wisdom.weizmann.ac.il

Download Document from Source Website

File Size: 683,07 KB

Share Document on Facebook

Similar Documents

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

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

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

DocID: 1sIQs - View Document

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

DocID: 1sgiJ - View Document