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Recommender Systems – An Introduction
Recommender Systems – An Introduction
by alida-meadow
Dietmar. . Jannach. , Markus . Zanker. , Alexand...
Recommender Systems and Collaborative Filtering
Recommender Systems and Collaborative Filtering
by eliza
Introduction to Recommender Systems. Recommender s...
Hybrid recommendation approaches
Hybrid recommendation approaches
by kittie-lecroy
Hybrid recommender systems. Hybrid: combinations ...
Online consumer decision making
Online consumer decision making
by luanne-stotts
Agenda. Online consumer decision making. Introduc...
Evaluating Recommender Systems
Evaluating Recommender Systems
by luanne-stotts
Evaluating Recommender Systems. A myriad of techn...
Explanations in recommender systems
Explanations in recommender systems
by tatyana-admore
Explanations in recommender systems. Motivation. ...
Peer
Peer
by kittie-lecroy
Interaction . Effectively, yet . Infrequently, En...
Hierarchical Recommender System for Improving NPS.
Hierarchical Recommender System for Improving NPS.
by min-jolicoeur
www.kdd.uncc.edu. CCI, UNC-Charlotte. Researc...
Recommender Systems
Recommender Systems
by alida-meadow
Problem formulation. Machine Learning. Example: P...
X-Informatics Case Study:
X-Informatics Case Study:
by calandra-battersby
e-Commerce and Life Style Informatics: . Recommen...
Prediction Modeling for Personalization & Recommender S
Prediction Modeling for Personalization & Recommender S
by conchita-marotz
Bamshad Mobasher. DePaul University. 2. What Is P...
Recommender Systems
Recommender Systems
by conchita-marotz
Dr. Frank McCown. Intro to Web Science. Harding U...
Hybrid Recommendation
Hybrid Recommendation
by mitsue-stanley
Danielle Lee . April 20, 2011. Three basic recomm...
Performance of Recommender Algorithms on Top-N Recommendation Tasks
Performance of Recommender Algorithms on Top-N Recommendation Tasks
by debby-jeon
Performance of Recommender Algorithms on Top-N Re...
What we have covered What is IR
What we have covered What is IR
by alida-meadow
Evaluation. Tokenization and properties of text ....
Peer  Interaction  Effectively, yet
Peer Interaction Effectively, yet
by mitsue-stanley
Infrequently, Enables . Programmers to Discover N...
User-friendly NPS-based recommender system for driving business revenue.
User-friendly NPS-based recommender system for driving business revenue.
by marina-yarberry
CCI, UNC-Charlotte. Research sponsored by. presen...
What we have covered What is IR
What we have covered What is IR
by liane-varnes
Evaluation. Tokenization and properties of text ....
Matrix Factorization
Matrix Factorization
by pasty-toler
and. Collaborative Filtering. 1. Matt Gormley. Le...
Hierarchical Recommender System for Improving NPS.
Hierarchical Recommender System for Improving NPS.
by pasty-toler
www.kdd.uncc.edu. CCI, UNC-Charlotte. Researc...
Performance of Recommender Algorithms on Top-N Recommendati
Performance of Recommender Algorithms on Top-N Recommendati
by aaron
Gabriel Vargas Carmona. 22.06.12. Agenda. Introdu...
The Blockheads
The Blockheads
by karlyn-bohler
Powerblocks. Business Model. Outsourced: . mfg. ...
Toward the Next Generation of Recommender Systems A Survey of the StateoftheArt
Toward the Next Generation of Recommender Systems A Survey of the StateoftheArt
by stefany-barnette
This paper also describes various limitations of ...
Toward the Next Generation of Recommender Systems A Survey of the StateoftheArt
Toward the Next Generation of Recommender Systems A Survey of the StateoftheArt
by lindy-dunigan
This paper also describes various limitations of ...
Recommender Systems in ECommerce J
Recommender Systems in ECommerce J
by myesha-ticknor
Ben Schafer Joseph Konstan John Riedl GroupLens R...
Implicit Feedback for Recommender Systems Douglas W
Implicit Feedback for Recommender Systems Douglas W
by sherrill-nordquist
Oard and Jinmook Kim Digital Library Research Gro...
LARS A LocationAware Recommender System Justin J
LARS A LocationAware Recommender System Justin J
by luanne-stotts
Levandoski Mohamed Sarwat Ahmed Eldawy Mohamed...
User-Centric Evaluation of a K-Furthest NeighborCollaborative Filtering Recommender Algorithm
User-Centric Evaluation of a K-Furthest NeighborCollaborative Filtering Recommender Algorithm
by trish-goza
rformeasuringthelevelofdiversityarec-ommendational...
Intelligent Decision Support Systems: A Summary
Intelligent Decision Support Systems: A Summary
by pasty-toler
H. Munoz-Avila. Case-Based Reasoning. Example: Sl...
Pandora’s Music Recommender
Pandora’s Music Recommender
by liane-varnes
Michael Howe 1 Introduction to Pandora One of t...
The Netflix Prize Contest
The Netflix Prize Contest
by jane-oiler
1) New Paths to New Machine Learning Science. 2) ...
ing: 44% ! Shopping Helper: 41% ! Product Recommender: 39% ! Design Ce
ing: 44% ! Shopping Helper: 41% ! Product Recommender: 39% ! Design Ce
by stefany-barnette
Shopping: 38% ! Shopping Helper: 37% ! Product Rec...
Optimizing Recommender Systems as a
Optimizing Recommender Systems as a
by mitsue-stanley
Submodular. Bandits Problem. Yisong Yue. Carnegi...
Chapter 20:
Chapter 20:
by alida-meadow
Social Service Selection. Service-Oriented Comput...
On Unexpectedness in Recommender Systems
On Unexpectedness in Recommender Systems
by jane-oiler
: Or How to Expect the Unexpected Panagiotis Adam...
  Intelligent Question Routing Systems - A Tutorial
  Intelligent Question Routing Systems - A Tutorial
by karlyn-bohler
Bojan Furlan, Bosko Nikolic, Veljko Milutinovic, ...