A systematic mapping on adaptive recommender approaches for ubiquitous environments

Recommender systems were first conceived to provide suggestions of interesting items to users. The evolution of such systems provided an understanding that a recommender system is currently used to diverse objectives. One of the current challenges in the field is to have approaches of recommendation...

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Bibliographic Details
Published in:Computing 2018-02, Vol.100 (2), p.183-209
Main Authors: Machado, Guilherme M., Maran, Vinicius, Dornelles, Lorayne P., Gasparini, Isabela, Thom, Lucinéia H., de Oliveira, José Palazzo M.
Format: Article
Language:English
Subjects:
Accuracy
Adaptive systems
Artificial Intelligence
Biological evolution
Computer Appl. in Administrative Data Processing
Computer Communication Networks
Computer Science
Filtration
Information Systems Applications (incl.Internet)
Recommender systems
Software Engineering
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Summary:Recommender systems were first conceived to provide suggestions of interesting items to users. The evolution of such systems provided an understanding that a recommender system is currently used to diverse objectives. One of the current challenges in the field is to have approaches of recommendation that go beyond accuracy metrics. Since it is a very recent interest of the community, this review, also characterized as an exploratory search, provides an overview of the techniques in the area that tries to look beyond accuracy. More specifically, one of the characteristics that would provide such evolution to these systems is the adaptation. This review is then performed to find the existence and characteristics of such approaches. Of the total 438 papers returned in the submission of the search string, 57 papers were analyzed after two filtering processes. The papers have shown that the area is little explored and one of the reasons is the challenge to validate non-accuracy characteristics in such approaches.
ISSN:0010-485X
1436-5057
DOI:10.1007/s00607-017-0572-7