The recommender canvas: A model for developing and documenting recommender system design

Guido Cornelis van Capelleveen, Chintan Amrit Amrit, Devrim Murat Yazan, Willem Hendrik Maria Zijm

Research output: Contribution to journal › Article › Academic › peer-review

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Abstract

The task of designing a recommender system is a complex process. Because of the many technological advancements that may be included in a recommender system, engineers are faced with a fast growing number of design related decisions to be taken. Unfortunately, there is no general approach yet for decision makers that can act as a framework guiding the design of a recommender system. The rich collection of literature on recommender systems, though, offers a great source to identify the key areas where these decisions need to be taken. In this paper, we survey existing literature with the aim of building a recommender system model inspired by Osterwalder’s canvas theory. The result of our semi-structured synthesis is a novel design approach in the form of a canvas for designing recommender systems. This work provides a better understanding and can serve as a guide for decision making in recommender system design.
Original languageEnglish
Pages (from-to)97-117
Number of pages21
JournalExpert systems with applications
Volume129
Early online date1 Apr 2019
DOIs
Publication statusPublished - 1 Sep 2019

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Recommender systems
Systems analysis
Decision making
Engineers

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van Capelleveen, Guido Cornelis ; Amrit, Chintan Amrit ; Yazan, Devrim Murat ; Zijm, Willem Hendrik Maria. / The recommender canvas: A model for developing and documenting recommender system design. In: Expert systems with applications. 2019 ; Vol. 129. pp. 97-117.
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van Capelleveen, GC, Amrit, CA, Yazan, DM & Zijm, WHM 2019, 'The recommender canvas: A model for developing and documenting recommender system design' Expert systems with applications, vol. 129, pp. 97-117. https://doi.org/10.1016/j.eswa.2019.04.001

The recommender canvas: A model for developing and documenting recommender system design. / van Capelleveen, Guido Cornelis; Amrit, Chintan Amrit; Yazan, Devrim Murat; Zijm, Willem Hendrik Maria.

In: Expert systems with applications, Vol. 129, 01.09.2019, p. 97-117.

Research output: Contribution to journal › Article › Academic › peer-review

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van Capelleveen GC, Amrit CA, Yazan DM, Zijm WHM. The recommender canvas: A model for developing and documenting recommender system design. Expert systems with applications. 2019 Sep 1;129:97-117. https://doi.org/10.1016/j.eswa.2019.04.001

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