Evaluating recommender systems in feature model configuration.

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

Abstract

Configurators can be evaluated in various ways such as efficiency and completeness of solution search, optimality of the proposed solutions, usability of configurator user interfaces, and configuration consistency. Due to the increasing size and complexity of feature models, the integration of recommendation algorithms with feature model configurators becomes relevant. In this paper, we show how the output of a recommender system can be evaluated within the scope of feature model configuration scenarios. Overall, we argue that the discussed ways of measuring recommendation quality help developers to gain a broader view on evaluation techniques in constraint-based recommendation domains.
Originalspracheenglisch
TitelProceedings of the 25th ACM International Systems and Software Product Line Conference, SPLC 2021
Redakteure/-innenMohammad Mousavi, Pierre-Yves Schobbens, Hugo Araujo, Ina Schaefer, Maurice H. ter Beek, Xavier Devroey, Jose Miguel Rojas, Monica Pinto, Leopoldo Teixeira, Thorsten Berger, Johannes Noppen, Iris Reinhartz-Berger, Paul Temple, Ferruccio Damiani, Justyna Petke
Herausgeber (Verlag)Association of Computing Machinery
Seiten58-63
Seitenumfang6
ISBN (elektronisch)978-1-4503-8469-8
DOIs
PublikationsstatusVeröffentlicht - 6 Sep 2021
Veranstaltung25th ACM International Systems and Software Product Line Conference: SPLC'21 - Virtuell, Großbritannien / Vereinigtes Königreich
Dauer: 6 Sep 202111 Sep 2021
https://splc2021.net

Konferenz

Konferenz25th ACM International Systems and Software Product Line Conference
KurztitelSPLC'21
LandGroßbritannien / Vereinigtes Königreich
OrtVirtuell
Zeitraum6/09/2111/09/21
Internetadresse

ASJC Scopus subject areas

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

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