A feature-based personalized recommender system for product-line configuration

Author:

Pereira Juliana Alves1,Matuszyk Pawel1,Krieter Sebastian1,Spiliopoulou Myra1,Saake Gunter1

Affiliation:

1. University of Magdeburg, Germany

Publisher

ACM

Cited by 18 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Collecting Feature Models from the Literature: A Comprehensive Dataset for Benchmarking;28th ACM International Systems and Software Product Line Conference;2024-09-02

2. Multi-Version Decision Propagation for Configuring Feature Models in Space and Time;28th ACM International Systems and Software Product Line Conference;2024-09-02

3. Optimization Space Learning: A Lightweight, Noniterative Technique for Compiler Autotuning;28th ACM International Systems and Software Product Line Conference;2024-09-02

4. Knowledge-based recommender systems: overview and research directions;Frontiers in Big Data;2024-02-26

5. ICO: A Platform for Optimizing Highly Configurable Systems;2023 38th IEEE/ACM International Conference on Automated Software Engineering Workshops (ASEW);2023-09-11

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