Ladislav Peska

1 Abonnés

11 SlideShares 1 Abonnés 2 Suivis

11 SlideShares 1 Abonnés 2 Suivis

recommender systems photo lineup implicit feedback context user preference e-commerce machine learning aggregations election algorithms convolutional neural networks similarity search on-line evaluation word2vec deep neural networks content-based bayesian personalized ranking content alignments recsys2015 preference relations

Tout plus

Activité
À propos

Using Implicit Preference Relations to Improve Content-based Recommendations, EC-WEB 2015

il y a 8 ans • 502 Vues

Using the Context of User Feedback in Recommender Systems

il y a 7 ans • 299 Vues

Towards Complex User Feedback and Presentation Context in Recommender Systems

il y a 7 ans • 156 Vues

Linking Content Information with Bayesian Personalized Ranking via Multiple Content Alignments

il y a 6 ans • 329 Vues

Towards Recommender Systems for Police Photo Lineup

il y a 6 ans • 838 Vues

LineIT: Similarity search and recommendations for photo lineup assembling

il y a 4 ans • 176 Vues

Fuzzy D’Hondt’s Algorithm for On-line Recommendations Aggregation

il y a 4 ans • 251 Vues

RecSys Challenge 2014, SemWexMFF group

il y a 9 ans • 397 Vues

How to Interpret Implicit User Feedback

il y a 8 ans • 171 Vues

Off-line vs. On-line Evaluation of Recommender Systems in Small E-commerce

il y a 5 ans • 229 Vues

Towards Similarity Models in Police Photo Lineup Assembling Tasks

il y a 5 ans • 180 Vues

recommender systems photo lineup implicit feedback context user preference e-commerce machine learning aggregations election algorithms convolutional neural networks similarity search on-line evaluation word2vec deep neural networks content-based bayesian personalized ranking content alignments recsys2015 preference relations

Tout plus