SlideShare ist ein Scribd-Unternehmen logo
1 von 1
Downloaden Sie, um offline zu lesen
CWI @ Federated Web Track - TREC 2013

Weitere ähnliche Inhalte

Mehr von Alejandro Bellogin

Improving Memory-Based Collaborative Filtering by Neighbour Selection based o...
Improving Memory-Based Collaborative Filtering by Neighbour Selection based o...Improving Memory-Based Collaborative Filtering by Neighbour Selection based o...
Improving Memory-Based Collaborative Filtering by Neighbour Selection based o...
Alejandro Bellogin
 
Performance prediction and evaluation in Recommender Systems: an Information ...
Performance prediction and evaluation in Recommender Systems: an Information ...Performance prediction and evaluation in Recommender Systems: an Information ...
Performance prediction and evaluation in Recommender Systems: an Information ...
Alejandro Bellogin
 
Using Graph Partitioning Techniques for Neighbour Selection in User-Based Col...
Using Graph Partitioning Techniques for Neighbour Selection in User-Based Col...Using Graph Partitioning Techniques for Neighbour Selection in User-Based Col...
Using Graph Partitioning Techniques for Neighbour Selection in User-Based Col...
Alejandro Bellogin
 
Using Graph Partitioning Techniques for Neighbour Selection in User-Based Col...
Using Graph Partitioning Techniques for Neighbour Selection in User-Based Col...Using Graph Partitioning Techniques for Neighbour Selection in User-Based Col...
Using Graph Partitioning Techniques for Neighbour Selection in User-Based Col...
Alejandro Bellogin
 

Mehr von Alejandro Bellogin (19)

Revisiting neighborhood-based recommenders for temporal scenarios
Revisiting neighborhood-based recommenders for temporal scenariosRevisiting neighborhood-based recommenders for temporal scenarios
Revisiting neighborhood-based recommenders for temporal scenarios
 
Evaluating decision-aware recommender systems
Evaluating decision-aware recommender systemsEvaluating decision-aware recommender systems
Evaluating decision-aware recommender systems
 
Replicable Evaluation of Recommender Systems
Replicable Evaluation of Recommender SystemsReplicable Evaluation of Recommender Systems
Replicable Evaluation of Recommender Systems
 
Implicit vs Explicit trust in Social Matrix Factorization
Implicit vs Explicit trust in Social Matrix FactorizationImplicit vs Explicit trust in Social Matrix Factorization
Implicit vs Explicit trust in Social Matrix Factorization
 
RiVal - A toolkit to foster reproducibility in Recommender System evaluation
RiVal - A toolkit to foster reproducibility in Recommender System evaluationRiVal - A toolkit to foster reproducibility in Recommender System evaluation
RiVal - A toolkit to foster reproducibility in Recommender System evaluation
 
HT2014 Tutorial: Evaluating Recommender Systems - Ensuring Replicability of E...
HT2014 Tutorial: Evaluating Recommender Systems - Ensuring Replicability of E...HT2014 Tutorial: Evaluating Recommender Systems - Ensuring Replicability of E...
HT2014 Tutorial: Evaluating Recommender Systems - Ensuring Replicability of E...
 
CWI @ Contextual Suggestion track - TREC 2013
CWI @ Contextual Suggestion track - TREC 2013CWI @ Contextual Suggestion track - TREC 2013
CWI @ Contextual Suggestion track - TREC 2013
 
Probabilistic Collaborative Filtering with Negative Cross Entropy
Probabilistic Collaborative Filtering with Negative Cross EntropyProbabilistic Collaborative Filtering with Negative Cross Entropy
Probabilistic Collaborative Filtering with Negative Cross Entropy
 
Understanding Similarity Metrics in Neighbour-based Recommender Systems
Understanding Similarity Metrics in Neighbour-based Recommender SystemsUnderstanding Similarity Metrics in Neighbour-based Recommender Systems
Understanding Similarity Metrics in Neighbour-based Recommender Systems
 
Artist popularity: do web and social music services agree?
Artist popularity: do web and social music services agree?Artist popularity: do web and social music services agree?
Artist popularity: do web and social music services agree?
 
Improving Memory-Based Collaborative Filtering by Neighbour Selection based o...
Improving Memory-Based Collaborative Filtering by Neighbour Selection based o...Improving Memory-Based Collaborative Filtering by Neighbour Selection based o...
Improving Memory-Based Collaborative Filtering by Neighbour Selection based o...
 
Performance prediction and evaluation in Recommender Systems: an Information ...
Performance prediction and evaluation in Recommender Systems: an Information ...Performance prediction and evaluation in Recommender Systems: an Information ...
Performance prediction and evaluation in Recommender Systems: an Information ...
 
Using Graph Partitioning Techniques for Neighbour Selection in User-Based Col...
Using Graph Partitioning Techniques for Neighbour Selection in User-Based Col...Using Graph Partitioning Techniques for Neighbour Selection in User-Based Col...
Using Graph Partitioning Techniques for Neighbour Selection in User-Based Col...
 
Using Graph Partitioning Techniques for Neighbour Selection in User-Based Col...
Using Graph Partitioning Techniques for Neighbour Selection in User-Based Col...Using Graph Partitioning Techniques for Neighbour Selection in User-Based Col...
Using Graph Partitioning Techniques for Neighbour Selection in User-Based Col...
 
Precision-oriented Evaluation of Recommender Systems: An Algorithmic Comparis...
Precision-oriented Evaluation of Recommender Systems: An Algorithmic Comparis...Precision-oriented Evaluation of Recommender Systems: An Algorithmic Comparis...
Precision-oriented Evaluation of Recommender Systems: An Algorithmic Comparis...
 
Predicting performance in Recommender Systems - Slides
Predicting performance in Recommender Systems - SlidesPredicting performance in Recommender Systems - Slides
Predicting performance in Recommender Systems - Slides
 
Predicting performance in Recommender Systems - Poster slam
Predicting performance in Recommender Systems - Poster slamPredicting performance in Recommender Systems - Poster slam
Predicting performance in Recommender Systems - Poster slam
 
Predicting performance in Recommender Systems - Poster
Predicting performance in Recommender Systems - PosterPredicting performance in Recommender Systems - Poster
Predicting performance in Recommender Systems - Poster
 
Precision-oriented Evaluation of Recommender Systems: An Algorithmic Comparis...
Precision-oriented Evaluation of Recommender Systems: An Algorithmic Comparis...Precision-oriented Evaluation of Recommender Systems: An Algorithmic Comparis...
Precision-oriented Evaluation of Recommender Systems: An Algorithmic Comparis...
 

Kürzlich hochgeladen

Architecting Cloud Native Applications
Architecting Cloud Native ApplicationsArchitecting Cloud Native Applications
Architecting Cloud Native Applications
WSO2
 
Why Teams call analytics are critical to your entire business
Why Teams call analytics are critical to your entire businessWhy Teams call analytics are critical to your entire business
Why Teams call analytics are critical to your entire business
panagenda
 
+971581248768>> SAFE AND ORIGINAL ABORTION PILLS FOR SALE IN DUBAI AND ABUDHA...
+971581248768>> SAFE AND ORIGINAL ABORTION PILLS FOR SALE IN DUBAI AND ABUDHA...+971581248768>> SAFE AND ORIGINAL ABORTION PILLS FOR SALE IN DUBAI AND ABUDHA...
+971581248768>> SAFE AND ORIGINAL ABORTION PILLS FOR SALE IN DUBAI AND ABUDHA...
?#DUbAI#??##{{(☎️+971_581248768%)**%*]'#abortion pills for sale in dubai@
 
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers:  A Deep Dive into Serverless Spatial Data and FMECloud Frontiers:  A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
Safe Software
 

Kürzlich hochgeladen (20)

Apidays New York 2024 - Scaling API-first by Ian Reasor and Radu Cotescu, Adobe
Apidays New York 2024 - Scaling API-first by Ian Reasor and Radu Cotescu, AdobeApidays New York 2024 - Scaling API-first by Ian Reasor and Radu Cotescu, Adobe
Apidays New York 2024 - Scaling API-first by Ian Reasor and Radu Cotescu, Adobe
 
Strategies for Landing an Oracle DBA Job as a Fresher
Strategies for Landing an Oracle DBA Job as a FresherStrategies for Landing an Oracle DBA Job as a Fresher
Strategies for Landing an Oracle DBA Job as a Fresher
 
TrustArc Webinar - Unlock the Power of AI-Driven Data Discovery
TrustArc Webinar - Unlock the Power of AI-Driven Data DiscoveryTrustArc Webinar - Unlock the Power of AI-Driven Data Discovery
TrustArc Webinar - Unlock the Power of AI-Driven Data Discovery
 
Architecting Cloud Native Applications
Architecting Cloud Native ApplicationsArchitecting Cloud Native Applications
Architecting Cloud Native Applications
 
Apidays New York 2024 - Passkeys: Developing APIs to enable passwordless auth...
Apidays New York 2024 - Passkeys: Developing APIs to enable passwordless auth...Apidays New York 2024 - Passkeys: Developing APIs to enable passwordless auth...
Apidays New York 2024 - Passkeys: Developing APIs to enable passwordless auth...
 
Cyberprint. Dark Pink Apt Group [EN].pdf
Cyberprint. Dark Pink Apt Group [EN].pdfCyberprint. Dark Pink Apt Group [EN].pdf
Cyberprint. Dark Pink Apt Group [EN].pdf
 
FWD Group - Insurer Innovation Award 2024
FWD Group - Insurer Innovation Award 2024FWD Group - Insurer Innovation Award 2024
FWD Group - Insurer Innovation Award 2024
 
presentation ICT roal in 21st century education
presentation ICT roal in 21st century educationpresentation ICT roal in 21st century education
presentation ICT roal in 21st century education
 
MS Copilot expands with MS Graph connectors
MS Copilot expands with MS Graph connectorsMS Copilot expands with MS Graph connectors
MS Copilot expands with MS Graph connectors
 
ICT role in 21st century education and its challenges
ICT role in 21st century education and its challengesICT role in 21st century education and its challenges
ICT role in 21st century education and its challenges
 
Why Teams call analytics are critical to your entire business
Why Teams call analytics are critical to your entire businessWhy Teams call analytics are critical to your entire business
Why Teams call analytics are critical to your entire business
 
Emergent Methods: Multi-lingual narrative tracking in the news - real-time ex...
Emergent Methods: Multi-lingual narrative tracking in the news - real-time ex...Emergent Methods: Multi-lingual narrative tracking in the news - real-time ex...
Emergent Methods: Multi-lingual narrative tracking in the news - real-time ex...
 
+971581248768>> SAFE AND ORIGINAL ABORTION PILLS FOR SALE IN DUBAI AND ABUDHA...
+971581248768>> SAFE AND ORIGINAL ABORTION PILLS FOR SALE IN DUBAI AND ABUDHA...+971581248768>> SAFE AND ORIGINAL ABORTION PILLS FOR SALE IN DUBAI AND ABUDHA...
+971581248768>> SAFE AND ORIGINAL ABORTION PILLS FOR SALE IN DUBAI AND ABUDHA...
 
Repurposing LNG terminals for Hydrogen Ammonia: Feasibility and Cost Saving
Repurposing LNG terminals for Hydrogen Ammonia: Feasibility and Cost SavingRepurposing LNG terminals for Hydrogen Ammonia: Feasibility and Cost Saving
Repurposing LNG terminals for Hydrogen Ammonia: Feasibility and Cost Saving
 
Exploring the Future Potential of AI-Enabled Smartphone Processors
Exploring the Future Potential of AI-Enabled Smartphone ProcessorsExploring the Future Potential of AI-Enabled Smartphone Processors
Exploring the Future Potential of AI-Enabled Smartphone Processors
 
ProductAnonymous-April2024-WinProductDiscovery-MelissaKlemke
ProductAnonymous-April2024-WinProductDiscovery-MelissaKlemkeProductAnonymous-April2024-WinProductDiscovery-MelissaKlemke
ProductAnonymous-April2024-WinProductDiscovery-MelissaKlemke
 
DBX First Quarter 2024 Investor Presentation
DBX First Quarter 2024 Investor PresentationDBX First Quarter 2024 Investor Presentation
DBX First Quarter 2024 Investor Presentation
 
Artificial Intelligence Chap.5 : Uncertainty
Artificial Intelligence Chap.5 : UncertaintyArtificial Intelligence Chap.5 : Uncertainty
Artificial Intelligence Chap.5 : Uncertainty
 
"I see eyes in my soup": How Delivery Hero implemented the safety system for ...
"I see eyes in my soup": How Delivery Hero implemented the safety system for ..."I see eyes in my soup": How Delivery Hero implemented the safety system for ...
"I see eyes in my soup": How Delivery Hero implemented the safety system for ...
 
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers:  A Deep Dive into Serverless Spatial Data and FMECloud Frontiers:  A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME