Search Results for 'Recommender'

Recommender published presentations and documents on DocSlides.

Recommender Systems – An Introduction
Recommender Systems – An Introduction
by alida-meadow
Dietmar. . Jannach. , Markus . Zanker. , Alexand...
Evaluating Recommender Systems
Evaluating Recommender Systems
by luanne-stotts
Evaluating Recommender Systems. A myriad of techn...
Online consumer decision making
Online consumer decision making
by luanne-stotts
Agenda. Online consumer decision making. Introduc...
Hybrid recommendation approaches
Hybrid recommendation approaches
by kittie-lecroy
Hybrid recommender systems. Hybrid: combinations ...
Prediction Modeling for Personalization & Recommender S
Prediction Modeling for Personalization & Recommender S
by conchita-marotz
Bamshad Mobasher. DePaul University. 2. What Is P...
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...
X-Informatics Case Study:
X-Informatics Case Study:
by calandra-battersby
e-Commerce and Life Style Informatics: . Recommen...
Recommender Systems
Recommender Systems
by alida-meadow
Problem formulation. Machine Learning. Example: P...
Hierarchical Recommender System for Improving NPS.
Hierarchical Recommender System for Improving NPS.
by min-jolicoeur
www.kdd.uncc.edu. CCI, UNC-Charlotte. Researc...
Hybrid Recommendation
Hybrid Recommendation
by mitsue-stanley
Danielle Lee . April 20, 2011. Three basic recomm...
Recommender Systems
Recommender Systems
by conchita-marotz
Dr. Frank McCown. Intro to Web Science. Harding U...
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...
Hierarchical Recommender System for Improving NPS.
Hierarchical Recommender System for Improving NPS.
by pasty-toler
www.kdd.uncc.edu. CCI, UNC-Charlotte. Researc...
Matrix Factorization
Matrix Factorization
by pasty-toler
and. Collaborative Filtering. 1. Matt Gormley. Le...
What we have covered What is IR
What we have covered What is IR
by liane-varnes
Evaluation. Tokenization and properties of text ....
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...
Peer  Interaction  Effectively, yet
Peer Interaction Effectively, yet
by mitsue-stanley
Infrequently, Enables . Programmers to Discover N...
What we have covered What is IR
What we have covered What is IR
by alida-meadow
Evaluation. Tokenization and properties of text ....
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...
Recommender Systems and Collaborative Filtering
Recommender Systems and Collaborative Filtering
by eliza
Introduction to Recommender Systems. Recommender s...
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...
Attacks on collaborative recommender systems
Attacks on collaborative recommender systems
by briana-ranney
Agenda. Introduction. Charactarization of Attacks...
knew that the student would see it. As aresult, less weight may be ass
knew that the student would see it. As aresult, less weight may be ass
by debby-jeon
If your recommender knows you well and has said he...
The Blockheads
The Blockheads
by karlyn-bohler
Powerblocks. Business Model. Outsourced: . mfg. ...
Introduction Imagine you are using a travel recommender system.  Suppo
Introduction Imagine you are using a travel recommender system. Suppo
by jane-oiler
This suggests that we need other ways to classify ...