Analysis of Survey Tools for Recommender Systems in the Selection of Ambient Assisted Living Technologies | Zendy

Yurii Shkilniuk | Zendy; Ángel Serrano Alarcón | Zendy; Maksym Gaiduk | Zendy; Ralf Seepold | Zendy; Natividad Martínez Madrid | Zendy

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Analysis of Survey Tools for Recommender Systems in the Selection of Ambient Assisted Living Technologies

Author(s) -

Yurii Shkilniuk,

Ángel Serrano Alarcón,

Maksym Gaiduk,

Ralf Seepold,

Natividad Martínez Madrid

Publication year - 2020

Publication title -

procedia computer science

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.334

H-Index - 76

ISSN - 1877-0509

DOI - 10.1016/j.procs.2020.09.294

Subject(s) - computer science , relevance (law) , domain (mathematical analysis) , recommender system , selection (genetic algorithm) , work (physics) , data science , information retrieval , machine learning , mechanical engineering , mathematical analysis , mathematics , political science , law , engineering

This work is a study about a comparison of survey tools and it should help developers in selecting a suited tool for application in an AAL environment. The first step was to identify the basic required functionality of the survey tools used for AAL technologies and to compare these tools by their functionality and assignments. The comparative study was derived from the data obtained, previous literature studies and further technical data. A list of requirements was stated and ordered in terms of relevance to the target application domain. With the help of an integrated assessment method, the calculation of a generalized estimate value was performed and the result is explained. Finally, the planned application of this tool in a running project is explained.

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