Long-term fairness for Group Recommender Systems with Large Groups
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F22%3A10484963" target="_blank" >RIV/00216208:11320/22:10484963 - isvavai.cz</a>
Result on the web
<a href="https://doi.org/10.1145/3523227.3547424" target="_blank" >https://doi.org/10.1145/3523227.3547424</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1145/3523227.3547424" target="_blank" >10.1145/3523227.3547424</a>
Alternative languages
Result language
angličtina
Original language name
Long-term fairness for Group Recommender Systems with Large Groups
Original language description
Group recommender systems (GRS) focus on recommending items to groups of users. GRS need to tackle the heterogeneity of group members' preferences and produce recommendations of high overall utility while also considering some sense of fairness among group members. This work plans to aim for novel applications of GRS involving construction of large-scale groups of users and focusing on the long-term fairness of these groups which is in contrast with current research that concentrates on small groups of ephemeral nature. We believe that these directions could bring results of significant societal impact and scope of the effect expanding beyond currently considered GRS domains, e.g., helping to mitigate the filter bubble problem
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
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)
Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2022
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Proceedings of the 16th ACM Conference on Recommender Systems
ISBN
978-1-4503-9278-5
ISSN
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e-ISSN
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Number of pages
3
Pages from-to
724-726
Publisher name
ACM
Place of publication
New York, NY, USA
Event location
Seattle
Event date
Sep 18, 2022
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
001139226600119