The top documents tagged [recommendation problem]

Big & Personal: the data and the models behind Netflix recommendations by Xavier Amatriain
Technology Big & Personal: the data and the models behind Netflix recommendations by Xavier Amatriain

3.041 views

[RecSys '13]Pairwise Learning: Experiments with Community Recommendation on LinkedIn
Technology [RecSys '13]Pairwise Learning: Experiments with Community Recommendation on LinkedIn

1.596 views

T.J Watson Research Center, IBM © 2012 IBM Corporation Recommending Resolutions for Problems Identified by Monitoring Liang Tang, Tao Li School of Computer
Documents T.J Watson Research Center, IBM © 2012 IBM Corporation Recommending Resolutions for Problems Identified by Monitoring Liang Tang, Tao Li School of Computer

218 views

Indic threads pune12-recommenders-apache-mahout
Documents Indic threads pune12-recommenders-apache-mahout

454 views

[HetRec2011@RecSys]Experience Discovery: Hybrid Recommendation of Student Activities using Social Network Data
Technology [HetRec2011@RecSys]Experience Discovery: Hybrid Recommendation of Student Activities using Social Network Data

161 views

QUERIE Collborative database exploration
Engineering QUERIE Collborative database exploration

21 views

Breakthrough in Predictive Analytics for retailers: How our recommendation engine predicts future buys of customers?
Retail Breakthrough in Predictive Analytics for retailers: How our recommendation engine predicts future buys of customers?

1.385 views

Recsplorer: Recommendation Algorithms Based on Precedence Mining ACM SIGMOD Conference 2010 1
Documents Recsplorer: Recommendation Algorithms Based on Precedence Mining ACM SIGMOD Conference 2010 1

217 views

Recommender Systems Debapriyo Majumdar Information Retrieval – Spring 2015 Indian Statistical Institute Kolkata Credits to Bing Liu (UIC) and Angshul Majumdar
Documents Recommender Systems Debapriyo Majumdar Information Retrieval – Spring 2015 Indian Statistical Institute Kolkata Credits to Bing Liu (UIC) and Angshul Majumdar

215 views

Click to edit master text Click to edit Master text styles Second level Third level Fourth level Fifth level Artificial Immune Systems Dr Uwe Aickelin
Documents Click to edit master text Click to edit Master text styles Second level Third level Fourth level Fifth level Artificial Immune Systems Dr Uwe Aickelin

236 views

2. Introduction Multiple Multiplicative Factor Model For Collaborative Filtering Benjamin Marlin University of Toronto. Department of Computer Science
Documents 2. Introduction Multiple Multiplicative Factor Model For Collaborative Filtering Benjamin Marlin University of Toronto. Department of Computer Science

215 views

Chapter 12 (Section 12.4) : Recommender Systems Second edition of the book, coming soon
Documents Chapter 12 (Section 12.4) : Recommender Systems Second edition of the book, coming soon

225 views