Search Results for author:
Found 4 papers, 1 papers with code
Sports Recommender Systems: Overview and Research Issues
Sports recommender systems receive an increasing attention due to their potential of fostering healthy living, improving personal well-being, and increasing performances in sport.
Solving Multi-Configuration Problems: A Performance Analysis with Choco Solver
In many scenarios, configurators support the configuration of a solution that satisfies the preferences of a single user.
Concentrating on the Impact: Consequence-based Explanations in Recommender Systems
Recommender systems assist users in decision-making, where the presentation of recommended items and their explanations are critical factors for enhancing the overall user experience.
Conjunctive Query Based Constraint Solving For Feature Model Configuration
Feature model configuration can be supported on the basis of various types of reasoning approaches.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
