A Recommender System for Recommending Suitable Products in E-shop Using Explanations

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61988987%3A17610%2F22%3AA2302GN5" target="_blank" >RIV/61988987:17610/22:A2302GN5 - isvavai.cz</a>

Výsledek na webu

<a href="https://www.scopus.com/record/display.uri?eid=2-s2.0-85136193376&origin=resultslist&sort=plf-f&src=s&st1=Walek+B.&sid=673f7975ee4c6ad40a2bced27c125d01&sot=b&sdt=b&sl=21&s=AUTHOR-NAME%28Walek+B.%29&relpos=2&citeCnt=0&searchTerm=" target="_blank" >https://www.scopus.com/record/display.uri?eid=2-s2.0-85136193376&origin=resultslist&sort=plf-f&src=s&st1=Walek+B.&sid=673f7975ee4c6ad40a2bced27c125d01&sot=b&sdt=b&sl=21&s=AUTHOR-NAME%28Walek+B.%29&relpos=2&citeCnt=0&searchTerm=</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1109/AIRC56195.2022.9836983" target="_blank" >10.1109/AIRC56195.2022.9836983</a>

Jazyk výsledku

angličtina

Název v původním jazyce

A Recommender System for Recommending Suitable Products in E-shop Using Explanations

Popis výsledku v původním jazyce

This article proposes a recommender system for recommending relevant products in e-shop using explanations. The proposed system consists of three recommender modules called VIEW, RATING, and PURCHASE. The recommender modules use a content-based filtering approach and a collaborative filtering approach. The proposed recommender system works with explanations that contain arguments why the system recommended the specific product. Based on these explanations the user sees why specific products are recommended by the system. The proposed system was experimentally verified and the results of the experimental verification are discussed.

Název v anglickém jazyce

A Recommender System for Recommending Suitable Products in E-shop Using Explanations

Popis výsledku anglicky

This article proposes a recommender system for recommending relevant products in e-shop using explanations. The proposed system consists of three recommender modules called VIEW, RATING, and PURCHASE. The recommender modules use a content-based filtering approach and a collaborative filtering approach. The proposed recommender system works with explanations that contain arguments why the system recommended the specific product. Based on these explanations the user sees why specific products are recommended by the system. The proposed system was experimentally verified and the results of the experimental verification are discussed.

Druh

D - Stať ve sborníku

CEP obor

—

OECD FORD obor

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

Projekt

—

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2022

Kód důvěrnosti údajů

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

Název statě ve sborníku

3rd International Conference on Artificial Intelligence, Robotics and Control, AIRC 2022

ISBN

978-166545947-1

ISSN

—

e-ISSN

—

Počet stran výsledku

5

Strana od-do

16-20

Název nakladatele

Institute of Electrical and Electronics Engineers Inc.

Místo vydání

Cairo

Místo konání akce

Virtuální konference

Datum konání akce

20. 5. 2022

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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