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

Publikation: Beitrag in Buch/Bericht/KonferenzbandBeitrag in einem Konferenzband

Abstract

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. In this context, recommendations are determined, for example, on the basis of analyzing the preferences of similar users. In contrast to simple items which can be enumerated in an item catalog, complex items have to be represented on the basis of variability models (e.g., feature models) since a complete enumeration of all possible configurations is infeasible and would trigger significant performance issues. In this paper, we give an overview of a potential new line of research which is related to the application of recommender systems and machine learning techniques in feature modeling and configuration. In this context, we give examples of the application of recommender systems and machine learning and discuss future research issues.
Originalspracheenglisch
TitelVaMoS'21: 15th International Working Conference on Variability Modelling of Software-Intensive Systems
Redakteure/-innenPaul Grunbacher
ErscheinungsortNew York, NY
Herausgeber (Verlag)Association of Computing Machinery
Seiten1-8
Seitenumfang8
ISBN (elektronisch)978-1-4503-8824-5
DOIs
PublikationsstatusVeröffentlicht - Feb 2021
Veranstaltung15th International Working Conference on Variability Modelling of Software-Intensive Systems - Virtual from the IMC Krems University of Applied Science, Virtuell, Österreich
Dauer: 9 Feb 202111 Feb 2021
https://vamos2021.fh-krems.ac.at

Publikationsreihe

NameACM International Conference Proceeding Series

Konferenz

Konferenz15th International Working Conference on Variability Modelling of Software-Intensive Systems
KurztitelVaMoS 21
LandÖsterreich
OrtVirtuell
Zeitraum9/02/2111/02/21
Internetadresse

ASJC Scopus subject areas

  • Software
  • Human-computer interaction
  • !!Computer Vision and Pattern Recognition
  • !!Computer Networks and Communications

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