Accuracy- and consistency-aware recommendation of configurations.

Mathias Uta; Alexander Felfernig; Denis Helic; Viet-Man Le

doi:10.1145/3546932.3546996

Accuracy- and consistency-aware recommendation of configurations.

Mathias Uta, Alexander Felfernig, Denis Helic, Viet-Man Le

Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review

Abstract

Constraint-based configurators support users in deciding which components and features should be included in a configuration. Due to the increasing size and complexity of configurable products and services, recommender systems are used to personalize the interaction with configurators. Since basic recommendation approaches such as collaborative filtering do not take into account constraints between variable values, recommendations can induce inconsistencies between user requirements and the underlying configuration knowledge base. In this paper, we introduce a constraint-based configuration approach that integrates the results of model-based collaborative filtering (e.g., implemented as feed forward neural network) into constraint solving in such a way that the solver (configurator) is able to determine consistency-preserving and user-relevant configurations.

Original language	English
Title of host publication	26th ACM International Systems and Software Product Line Conference, SPLC 2022 - Proceedings
Editors	Alexander Felfernig, Lidia Fuentes, Jane Cleland-Huang, Wesley K.G. Assuncao, Wesley K.G. Assuncao, Andreas Falkner, Maider Azanza, Miguel A. Rodriguez Luaces, Megha Bhushan, Laura Semini, Xavier Devroey, Claudia Maria Lima Werner, Christoph Seidl, Viet-Man Le, Jose Miguel Horcas
Publisher	Association of Computing Machinery
Pages	79-84
Number of pages	6
Volume	A
ISBN (Electronic)	9781450394437
DOIs	https://doi.org/10.1145/3546932.3546996
Publication status	Published - 12 Sept 2022
Event	26th ACM International Systems and Software Product Line Conference: ASPLC 2022 - Graz, Austria Duration: 12 Sept 2022 → 16 Sept 2022 http://2022.splc.net/

Publication series

Name	26th ACM International Systems and Software Product Line Conference, SPLC 2022 - Proceedings
Volume	A

Conference

Conference	26th ACM International Systems and Software Product Line Conference
Abbreviated title	SPLC'22
Country/Territory	Austria
City	Graz
Period	12/09/22 → 16/09/22
Internet address	http://2022.splc.net/

Keywords

collaborative filtering
configuration
constraint solving
feature models
neural networks

ASJC Scopus subject areas

Software

Access to Document

10.1145/3546932.3546996

Cite this

Uta, M., Felfernig, A., Helic, D., & Le, V-M. (2022). Accuracy- and consistency-aware recommendation of configurations. In A. Felfernig, L. Fuentes, J. Cleland-Huang, W. K. G. Assuncao, W. K. G. Assuncao, A. Falkner, M. Azanza, M. A. R. Luaces, M. Bhushan, L. Semini, X. Devroey, C. M. L. Werner, C. Seidl, V-M. Le, & J. M. Horcas (Eds.), 26th ACM International Systems and Software Product Line Conference, SPLC 2022 - Proceedings (Vol. A, pp. 79-84). (26th ACM International Systems and Software Product Line Conference, SPLC 2022 - Proceedings; Vol. A). Association of Computing Machinery. https://doi.org/10.1145/3546932.3546996

Accuracy- and consistency-aware recommendation of configurations. / Uta, Mathias; Felfernig, Alexander ; Helic, Denis et al.
26th ACM International Systems and Software Product Line Conference, SPLC 2022 - Proceedings. ed. / Alexander Felfernig; Lidia Fuentes; Jane Cleland-Huang; Wesley K.G. Assuncao; Wesley K.G. Assuncao; Andreas Falkner; Maider Azanza; Miguel A. Rodriguez Luaces; Megha Bhushan; Laura Semini; Xavier Devroey; Claudia Maria Lima Werner; Christoph Seidl; Viet-Man Le; Jose Miguel Horcas. Vol. A Association of Computing Machinery, 2022. p. 79-84 (26th ACM International Systems and Software Product Line Conference, SPLC 2022 - Proceedings; Vol. A).

Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review

Uta, M, Felfernig, A , Helic, D & Le, V-M 2022, Accuracy- and consistency-aware recommendation of configurations. in A Felfernig, L Fuentes, J Cleland-Huang, WKG Assuncao, WKG Assuncao, A Falkner, M Azanza, MAR Luaces, M Bhushan, L Semini, X Devroey, CML Werner, C Seidl, V-M Le & JM Horcas (eds), 26th ACM International Systems and Software Product Line Conference, SPLC 2022 - Proceedings. vol. A, 26th ACM International Systems and Software Product Line Conference, SPLC 2022 - Proceedings, vol. A, Association of Computing Machinery, pp. 79-84, 26th ACM International Systems and Software Product Line Conference, Graz, Austria, 12/09/22. https://doi.org/10.1145/3546932.3546996

Uta M, Felfernig A , Helic D , Le V-M. Accuracy- and consistency-aware recommendation of configurations. In Felfernig A, Fuentes L, Cleland-Huang J, Assuncao WKG, Assuncao WKG, Falkner A, Azanza M, Luaces MAR, Bhushan M, Semini L, Devroey X, Werner CML, Seidl C, Le V-M, Horcas JM, editors, 26th ACM International Systems and Software Product Line Conference, SPLC 2022 - Proceedings. Vol. A. Association of Computing Machinery. 2022. p. 79-84. (26th ACM International Systems and Software Product Line Conference, SPLC 2022 - Proceedings). doi: 10.1145/3546932.3546996

Uta, Mathias ; Felfernig, Alexander ; Helic, Denis et al. / Accuracy- and consistency-aware recommendation of configurations. 26th ACM International Systems and Software Product Line Conference, SPLC 2022 - Proceedings. editor / Alexander Felfernig ; Lidia Fuentes ; Jane Cleland-Huang ; Wesley K.G. Assuncao ; Wesley K.G. Assuncao ; Andreas Falkner ; Maider Azanza ; Miguel A. Rodriguez Luaces ; Megha Bhushan ; Laura Semini ; Xavier Devroey ; Claudia Maria Lima Werner ; Christoph Seidl ; Viet-Man Le ; Jose Miguel Horcas. Vol. A Association of Computing Machinery, 2022. pp. 79-84 (26th ACM International Systems and Software Product Line Conference, SPLC 2022 - Proceedings).

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ER -

Accuracy- and consistency-aware recommendation of configurations.

Abstract

Publication series

Conference

Keywords

ASJC Scopus subject areas

Access to Document

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Cite this