Search Results for author: Viet-Man Le

Found 8 papers, 3 papers with code

Sports Recommender Systems: Overview and Research Issues

no code implementations6 Dec 2023 Alexander Felfernig, Manfred Wundara, Thi Ngoc Trang Tran, Viet-Man Le, Sebastian Lubos, Seda Polat-Erdeniz

Sports recommender systems receive an increasing attention due to their potential of fostering healthy living, improving personal well-being, and increasing performances in sport.

Recommendation Systems

Solving Multi-Configuration Problems: A Performance Analysis with Choco Solver

1 code implementation4 Oct 2023 Benjamin Ritz, Alexander Felfernig, Viet-Man Le, Sebastian Lubos

In many scenarios, configurators support the configuration of a solution that satisfies the preferences of a single user.

FastDiagP: An Algorithm for Parallelized Direct Diagnosis

1 code implementation11 May 2023 Viet-Man Le, Cristian Vidal Silva, Alexander Felfernig, David Benavides, José Galindo, Thi Ngoc Trang Tran

This algorithm extends FastDiag by integrating a parallelization mechanism that anticipates and pre-calculates consistency checks requested by FastDiag.

Conjunctive Query Based Constraint Solving For Feature Model Configuration

no code implementations26 Apr 2023 Alexander Felfernig, Viet-Man Le, Sebastian Lubos

Feature model configuration can be supported on the basis of various types of reasoning approaches.

Group Recommendation Techniques for Feature Modeling and Configuration

no code implementations13 Apr 2021 Viet-Man Le

In large-scale feature models, feature modeling and configuration processes are highly expected to be done by a group of stakeholders.

An Overview of Recommender Systems and Machine Learning in Feature Modeling and Configuration

no code implementations12 Feb 2021 Alexander Felfernig, Viet-Man Le, Andrei Popescu, Mathias Uta, Thi Ngoc Trang Tran, Müslüum Atas

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.

BIG-bench Machine Learning Recommendation Systems

DirectDebug: Automated Testing and Debugging of Feature Models

1 code implementation11 Feb 2021 Viet-Man Le, Alexander Felfernig, Mathias Uta, David Benavides, José Galindo, Thi Ngoc Trang Tran

Variability models (e. g., feature models) are a common way for the representation of variabilities and commonalities of software artifacts.

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