Customizing intelligent recommendation study with multiple advisors based on hierarchy structured fuzzy-analytic hierarchy process

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F44555601%3A13510%2F20%3A43895598" target="_blank" >RIV/44555601:13510/20:43895598 - isvavai.cz</a>

Result on the web

<a href="https://onlinelibrary.wiley.com/doi/full/10.1002/cpe.5930" target="_blank" >https://onlinelibrary.wiley.com/doi/full/10.1002/cpe.5930</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1002/cpe.5930" target="_blank" >10.1002/cpe.5930</a>

Result language

angličtina

Original language name

Customizing intelligent recommendation study with multiple advisors based on hierarchy structured fuzzy-analytic hierarchy process

Original language description

Evaluation information generated by various users is processed using various requirements and data to make recommendations for solving the problems, and it analyzes satisfaction with the results. Despite people normally utilizes the processed information for decision making, not all information, however, brings positive outcomes to users. There are some users who perceived it negatively. In order to minimize the occurrence of such negative effects, the analysis of various user requirements is essential as well as diversifying user inputs for each requirement. Consequently, the results from individual inputs must be predicted. In the past, since the system relies on a single-expert system, it is necessary to accept and process various limitations of recommendation and multiple requirements. Therefore, the results of the recommendation also have various problems. In order to solve this problem, this study applied an analytic hierarchy process to multiadvisor configuration. In the proposed system, one or multiple advisors are defined, and after analyzing the predefined requirements, the system accepts only the requirements that can be processed and calculates the individual recommendation results. A recommendation system was going to be studied by learning all situation.

Czech name

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Czech description

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Type

J_imp - Article in a specialist periodical, which is included in the Web of Science database

CEP classification

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OECD FORD branch

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Project

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Continuities

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year

2020

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical

Concurrency and Computation: Practice and Experience

ISSN

1532-0626

e-ISSN

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Volume of the periodical

33

Issue of the periodical within the volume

23

Country of publishing house

US - UNITED STATES

Number of pages

12

Pages from-to

1-12

UT code for WoS article

000572168000001

EID of the result in the Scopus database

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