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Recommender-Http published presentations and documents on DocSlides.

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 System for Online Dating Service Lukas Brozovsky and Vaclav Petrcek KSI MFF UK Malostranske nam
Recommender System for Online Dating Service Lukas Brozovsky and Vaclav Petrcek KSI MFF UK Malostranske nam
by alida-meadow
25 Prague 1 Czech Republic lbrozovskycentrumcz pe...
Recommender Systems in ECommerce J
Recommender Systems in ECommerce J
by myesha-ticknor
Ben Schafer Joseph Konstan John Riedl GroupLens R...
Incremental Singular Value Decomposition Algorithms for Highly Scalable Recommender Systems Badrul Sarwar GeorgeKarypis Joseph Konstan and John Riedl sarwar karypis konstan riedl cs
Incremental Singular Value Decomposition Algorithms for Highly Scalable Recommender Systems Badrul Sarwar GeorgeKarypis Joseph Konstan and John Riedl sarwar karypis konstan riedl cs
by test
umnedu GroupLens Research Group Army HPC Research...
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...
Applying Associative Retrieval Techniques to Alleviate the Sparsity Problem in Collaborative Filtering ZAN HUANG HSINCHUN CHEN and DANIEL ZENG The University of Arizona Recommender systems are being
Applying Associative Retrieval Techniques to Alleviate the Sparsity Problem in Collaborative Filtering ZAN HUANG HSINCHUN CHEN and DANIEL ZENG The University of Arizona Recommender systems are being
by min-jolicoeur
Collaborative 64257ltering the most success ful r...
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, ...
Semantic Contextualisation in a
Semantic Contextualisation in a
by faustina-dinatale
News Recommender System Iv
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 ...
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...