Analysis of content recommendation methods in information services

• Autorzy: Necheporuk Oleksandr , Vashchenko Svitlana , Fedotova Nataliia , Baranova Iryna , Dehtiarenko Yaroslava

Identyfikatory

DOI

10.35784/iapgos.6203

Warianty tytułu

PL

Analiza metod rekomendacji treści w serwisach informacyjnych

• Języki publikacji: EN

Abstrakty

EN

The object of the research is the process of selecting a content recommendation method in information services. The study's relevance stems from the rapid development of informational and entertainment resources and the increasing volume of data they operate on, thus prompting the utilisation of recommendation systems to maintain user engagement. Considering the different types of content, it is necessary to address the problem of data filtration based on their characteristics and user preferences. To solve this task, we analysed content-based and collaborative filtering methods using various techniques (model-based, memory-based, and hybrid collaborative filtering techniques), knowledge-based filtering, and hybrid filtering methods. Considering each method's advantages and disadvantages, we chose a hybrid method using model-based collaborative filtering and content-based filtering for the future development of our universal recommendation system.

PL

Przedmiotem badań jest proces wyboru metody rekomendacji treści w serwisach informacyjnych. Trafność badania wynika z szybkiego rozwoju zasobów informacyjnych i rozrywkowych oraz wzrostu ilości danych, na których działają, dlatego w celu utrzymania uwagi użytkownika wykorzystywane są systemy rekomendacyjne. Biorąc pod uwagę różne rodzaje treści, konieczne jest rozwiązanie problemu filtrowania danych na podstawie ich charakterystyki i preferencji użytkownika. Aby rozwiązać problem, przeanalizowano metody filtrowania treści, filtrowania kooperacyjnego z wykorzystaniem różnych technik (technika oparta na modelu, technika oparta na pamięci i hybrydowa technika filtrowania kolaboracyjnego), filtrowanie oparte na wiedzy oraz metody filtrowania hybrydowego. Biorąc pod uwagę zalety i wady każdej metody, wybrano metodę hybrydową wykorzystującą filtrowanie kolaboracyjne oparte na modelu i filtrowanie oparte na treści do przyszłego rozwoju proponowanego uniwersalnego systemu rekomendacji.

Słowa kluczowe

EN

content-based recommender system; collaborative recommender system; hybrid recommender system

PL

system rekomendacji oparty na treści; system rekomendacji oparty na współpracy; hybrydowy system rekomendacji

• Wydawca: Wydawnictwo Politechniki Lubelskiej
• Czasopismo: Informatyka, Automatyka, Pomiary w Gospodarce i Ochronie Środowiska
• Rocznik: 2024
• Tom: T. 14, nr 3
• Strony: 105--108
• Opis fizyczny: Bibliogr. 24 poz., wykr.

Twórcy

autor

Necheporuk Oleksandr

• Sumy State University, Faculty of Electronics and Information Technologies, Department of Information Technology, Sumy, Ukraine

• https://orcid.org/0000-0002-9905-031X

autor

Vashchenko Svitlana

• Sumy State University, Faculty of Electronics and Information Technologies, Department of Information Technology, Sumy, Ukraine

• https://orcid.org/0000-0002-7021-2629

autor

Fedotova Nataliia

• Sumy State University, Faculty of Electronics and Information Technologies, Department of Information Technology, Sumy, Ukraine

• https://orcid.org/0000-0001-9304-1693

autor

Baranova Iryna

• Sumy State University, Faculty of Electronics and Information Technologies, Department of Information Technology, Sumy, Ukraine

• https://orcid.org/0000-0002-3767-8099

autor

Dehtiarenko Yaroslava

• Lublin University of Technology, Faculty of Electrical Engineering and Computer Science, Lublin, Poland

• https://orcid.org/0009-0004-9455-7092

Bibliografia

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