Title
The recommender canvas: A model for developing and documenting recommender system design
Abstract
•Recommender systems encounter a fast growing number of design related decisions.•A literature review identifies the key design decisions for recommender developers.•A canvas is constructed to support the high-level specification of requirements.
Year
DOI
Venue
2019
10.1016/j.eswa.2019.04.001
Expert Systems with Applications
Keywords
Field
DocType
Recommender canvas,Recommender system,Design decisions,Requirement specification
Data science,Recommender system,Computer science,Artificial intelligence,Machine learning
Journal
Volume
ISSN
Citations 
129
0957-4174
2
PageRank 
References 
Authors
0.37
0
4
Name
Order
Citations
PageRank
Guido van Capelleveen162.20
chintan amrit216019.11
Devrim Murat Yazan334.12
Henk Zijm431.06