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Found 6 papers, 2 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.
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.
FastDiagP: An Algorithm for Parallelized Direct Diagnosis
This algorithm extends FastDiag by integrating a parallelization mechanism that anticipates and pre-calculates consistency checks requested by FastDiag.
Configuring Multiple Instances with Multi-Configuration
Configuration is a successful application area of Artificial Intelligence.
An Overview of Recommender Systems and Machine Learning in Feature Modeling and Configuration
Recommender systems support decisions in various domains ranging from simple items such as books and movies to more complex items such as financial services, telecommunication equipment, and software systems.
DirectDebug: Automated Testing and Debugging of Feature Models
Variability models (e. g., feature models) are a common way for the representation of variabilities and commonalities of software artifacts.
