Temat: recommender system - Katalog OPAC zbiorów

Skocz do pozycji: 1.

Tytuł:: On explainable fuzzy recommenders and their performance evaluation
Autorzy:: Rutkowski, Tomasz
Łapa, Krystian
Nielek, Radosław
Powiązania:: https://bibliotekanauki.pl/articles/330650.pdf
Data publikacji:: 2019
Wydawca:: Uniwersytet Zielonogórski. Oficyna Wydawnicza
Tematy:: recommender system
explainable recommendation
fuzzy system
Akaike information criterion
system rekomendacyjny
system rozmyty
kryterium informacyjne Akaike
Opis:: This paper presents a novel approach to the design of explainable recommender systems. It is based on the Wang–Mendel algorithm of fuzzy rule generation. A method for the learning and reduction of the fuzzy recommender is proposed along with feature encoding. Three criteria, including the Akaike information criterion, are used for evaluating an optimal balance between recommender accuracy and interpretability. Simulation results verify the effectiveness of the presented recommender system and illustrate its performance on the MovieLens 10M dataset.
Źródło:: International Journal of Applied Mathematics and Computer Science; 2019, 29, 3; 595-610
1641-876X
2083-8492
Pojawia się w:: International Journal of Applied Mathematics and Computer Science
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 2.

Tytuł:: ReSySTER: A hybrid recommender system for Scrum team roles based on fuzzy and rough sets
Autorzy:: Colomo-Palacios, R.
González-Carrasco, I.
López-Cuadrado, J. L.
García-Crespo, Á.
Powiązania:: https://bibliotekanauki.pl/articles/331282.pdf
Data publikacji:: 2012
Wydawca:: Uniwersytet Zielonogórski. Oficyna Wydawnicza
Tematy:: zbiór rozmyty
zbiór przybliżony
Scrum
pakiet roboczy
system polecenia
fuzzy set
rough set
work package
recommender system
Opis:: Agile development is a crucial issue within software engineering because one of the goals of any project leader is to increase the speed and flexibility in the development of new commercial products. In this sense, project managers must find the best resource configuration for each of the work packages necessary for the management of software development processes in order to keep the team motivated and committed to the project and to improve productivity and quality. This paper presents ReSySTER, a hybrid recommender system based on fuzzy logic, rough set theory and semantic technologies, aimed at helping project leaders to manage software development projects. The proposed system provides a powerful tool for project managers supporting the development process in Scrum environments and helping to form the most suitable team for different work packages. The system has been evaluated in a real scenario of development with the Scrum framework obtaining promising results.
Źródło:: International Journal of Applied Mathematics and Computer Science; 2012, 22, 4; 801-816
1641-876X
2083-8492
Pojawia się w:: International Journal of Applied Mathematics and Computer Science
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 3.

Tytuł:: Mining indirect association rules for web recommendation
Autorzy:: Kazienko, P.
Powiązania:: https://bibliotekanauki.pl/articles/907860.pdf
Data publikacji:: 2009
Wydawca:: Uniwersytet Zielonogórski. Oficyna Wydawnicza
Tematy:: reguły asocjacji
system zalecany
badanie sieci
association rules
indirect association rules
recommender system
web mining
web usage mining
Opis:: Classical association rules, here called 'direct', reflect relationships existing between items that relatively often co-occur in common transactions. In the web domain, items correspond to pages and transactions to user sessions. The main idea of the new approach presented is to discover indirect associations existing between pages that rarely occur together but there are other, 'third' pages, called transitive, with which they appear relatively frequently. Two types of indirect associations rules are described in the paper: partial indirect associations and complete ones. The former respect single transitive pages, while the latter cover all existing transitive pages. The presented IDARM* Algorithm extracts complete indirect association rules with their important measure-confidence-using pre-calculated direct rules. Both direct and indirect rules are joined into one set of complex association rules, which may be used for the recommendation of web pages. Performed experiments revealed the usefulness of indirect rules for the extension of a typical recommendation list. They also deliver new knowledge not available to direct ones. The relation between ranking lists created on the basis of direct association rules as well as hyperlinks existing on web pages is also examined.
Źródło:: International Journal of Applied Mathematics and Computer Science; 2009, 19, 1; 165-186
1641-876X
2083-8492
Pojawia się w:: International Journal of Applied Mathematics and Computer Science
Dostawca treści:: Biblioteka Nauki

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