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12.08.2017

A systematic mapping on adaptive recommender approaches for ubiquitous environments

verfasst von: Guilherme M. Machado, Vinicius Maran, Lorayne P. Dornelles, Isabela Gasparini, Lucinéia H. Thom, José Palazzo M. de Oliveira

Erschienen in: Computing | Ausgabe 2/2018

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Abstract

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.

Vorheriger Artikel Trust strategy implementation in OppNets

Nächster Artikel MPI-Performance-Aware-Reallocation: method to optimize the mapping of processes applied to a cloud infrastructure

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Titel: A systematic mapping on adaptive recommender approaches for ubiquitous environments
verfasst von: Guilherme M. Machado
Vinicius Maran
Lorayne P. Dornelles
Isabela Gasparini
Lucinéia H. Thom
José Palazzo M. de Oliveira
Publikationsdatum: 12.08.2017
Verlag: Springer Vienna
Erschienen in: Computing / Ausgabe 2/2018
Print ISSN: 0010-485X
Elektronische ISSN: 1436-5057
DOI: https://doi.org/10.1007/s00607-017-0572-7

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