Investigating the impact of recommender systems on user-based and item-based popularity bias

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Title:	Investigating the impact of recommender systems on user-based and item-based popularity bias
Authors:	ID Elahi, Mehdi (Author) ID Khosh Kholgh, Danial (Author) ID Kiarostami, Mohammad Sina (Author) ID Saghari, Sorush (Author) ID Parsa Rad, Shiva (Author) ID Tkalčič, Marko (Author)
Files:	https://www.sciencedirect.com/science/article/abs/pii/S0306457321001436?via%3Dihub#!
Language:	English
Work type:	Unknown
Typology:	1.01 - Original Scientific Article
Organization:	IAM - Andrej Marušič Institute
Year of publishing:	2021
Number of pages:	str. 1-15
Numbering:	Vol. 58, iss. 5
PID:	20.500.12556/RUP-16703
UDC:	004
ISSN on article:	0306-4573
DOI:	10.1016/j.ipm.2021.102655
COBISS.SI-ID:	67639299
Publication date in RUP:	24.06.2021
Views:	1053
Downloads:	84
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Title:	Information processing & management
Shortened title:	Inf. process. manage.
Publisher:	Pergamon Press
ISSN:	0306-4573
COBISS.SI-ID:	9006085

Language:	English
Keywords:	priporočilni sistemi, pristranskost, personalizacija, Twitter, družbeni mediji, recommender systems, popularity bias, personalization, Twitter, social media

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