GMAP 2024: 3rd Workshop on Group Modeling, Adaptation and Personalization
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F24%3A10494549" target="_blank" >RIV/00216208:11320/24:10494549 - isvavai.cz</a>
Výsledek na webu
<a href="https://doi.org/10.1145/3631700.3658535" target="_blank" >https://doi.org/10.1145/3631700.3658535</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1145/3631700.3658535" target="_blank" >10.1145/3631700.3658535</a>
Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
GMAP 2024: 3rd Workshop on Group Modeling, Adaptation and Personalization
Popis výsledku v původním jazyce
While most recommender systems cater to individual users' needs, there are numerous situations where these systems are needed to meet groups' demands. These systems are broadly labelled as Group Recommender Systems (GRSys). Traits like interpersonal relationships, group mood, and emotional contagion are essential to fulfilling the group's needs. However, the group's characteristics are frequently ill-defined and dynamic and are typically absent from systems modeling. Moreover, GRSys must maneuver between the needs of the group and the individuals when opinions differ and can contradict each other. The third edition of GMAP proposes consolidating a community of scholars interested in group modeling, adaptation, and personalization. Through the workshop, researchers continue their examination of the difficulties and possibilities of creating efficient procedures and instruments to facilitate collective decision-making. GMAP 2024 offered this unique opportunity to gather scholars from different fields to enrich discussions over GRSys' research. The workshop also allowed attendees to strengthen their networks and establish newconnections conducive to cutting-edge collaborative research.
Název v anglickém jazyce
GMAP 2024: 3rd Workshop on Group Modeling, Adaptation and Personalization
Popis výsledku anglicky
While most recommender systems cater to individual users' needs, there are numerous situations where these systems are needed to meet groups' demands. These systems are broadly labelled as Group Recommender Systems (GRSys). Traits like interpersonal relationships, group mood, and emotional contagion are essential to fulfilling the group's needs. However, the group's characteristics are frequently ill-defined and dynamic and are typically absent from systems modeling. Moreover, GRSys must maneuver between the needs of the group and the individuals when opinions differ and can contradict each other. The third edition of GMAP proposes consolidating a community of scholars interested in group modeling, adaptation, and personalization. Through the workshop, researchers continue their examination of the difficulties and possibilities of creating efficient procedures and instruments to facilitate collective decision-making. GMAP 2024 offered this unique opportunity to gather scholars from different fields to enrich discussions over GRSys' research. The workshop also allowed attendees to strengthen their networks and establish newconnections conducive to cutting-edge collaborative research.
Klasifikace
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)
Návaznosti výsledku
Projekt
—
Návaznosti
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Ostatní
Rok uplatnění
2024
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název statě ve sborníku
ADJUNCT PROCEEDINGS OF THE 32ND ACM CONFERENCE ON USER MODELING, ADAPTATION AND PERSONALIZATION, UMAP 2024
ISBN
979-8-4007-0466-6
ISSN
—
e-ISSN
—
Počet stran výsledku
3
Strana od-do
316-318
Název nakladatele
ASSOC COMPUTING MACHINERY
Místo vydání
NEW YORK
Místo konání akce
Cagliari
Datum konání akce
1. 7. 2024
Typ akce podle státní příslušnosti
WRD - Celosvětová akce
Kód UT WoS článku
001263797000057