Group recommender systems are usually built around a property that characterizes the groups (e.g., the size or the cohesion). However, the performance a system always measures how accurate the produced recommendations are and no study shows if the properties that characterize a group have an impact on the accuracy of the system (e.g., if more cohesive groups lead to more accurate recommendations). This paper presents a novel study of the correlation between the properties that characterize a group and the accuracy of the system for that group. This local analysis helps understanding which properties of a group have an impact on the accuracy. Thanks to this study, the design of a group recommender systems can be improved, by tailoring the recommendations on the characteristics of the groups. Experimental results show that the properties that affect the performance of a system are those related to the cohesiveness of a group.

Analysis of the properties that affect the accuracy of a group recommender system

Boratto, Ludovico
;
Carta, Salvatore;Fenu, Gianni
2016-01-01

Abstract

Group recommender systems are usually built around a property that characterizes the groups (e.g., the size or the cohesion). However, the performance a system always measures how accurate the produced recommendations are and no study shows if the properties that characterize a group have an impact on the accuracy of the system (e.g., if more cohesive groups lead to more accurate recommendations). This paper presents a novel study of the correlation between the properties that characterize a group and the accuracy of the system for that group. This local analysis helps understanding which properties of a group have an impact on the accuracy. Thanks to this study, the design of a group recommender systems can be improved, by tailoring the recommendations on the characteristics of the groups. Experimental results show that the properties that affect the performance of a system are those related to the cohesiveness of a group.
2016
978-1-5090-2659-3
Accuracy; Group recommendation; Rating prediction
File in questo prodotto:
File Dimensione Formato  
07976658.pdf

Solo gestori archivio

Tipologia: versione editoriale (VoR)
Dimensione 352.39 kB
Formato Adobe PDF
352.39 kB Adobe PDF   Visualizza/Apri   Richiedi una copia

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11584/243715
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 0
  • ???jsp.display-item.citation.isi??? ND
social impact