A case-based solution to the cold-start problem in group recommenders

  • Lara Quijano-Sánchez
  • , Derek Bridge
  • , Belén Díaz-Agudo
  • , Juan A. Recio-García

Research output: Chapter in Book/Report/Conference proceedingsChapterpeer-review

Abstract

We extend a group recommender system with a case base of previous group recommendation events. We show that this offers a potential solution to the cold-start problem. Suppose a group recommendation is sought but one of the group members is a new user who has few item ratings. We can copy ratings into this user's profile from the profile of the most similar user in the most similar group from the case base. In other words, we copy ratings from a user who played a similar role in some previous group event. We show that copying in this way, i.e. conditioned on groups, is superior to copying nothing and also superior to copying ratings from the most similar user known to the system.

Original languageEnglish
Title of host publicationCase-Based Reasoning Research and Development - 20th International Conference, ICCBR 2012, Proceedings
Pages342-356
Number of pages15
DOIs
Publication statusPublished - 2012
Event20th International Conference on Case-Based Reasoning, ICCBR 2012 - Lyon, France
Duration: 3 Sep 20126 Sep 2012

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume7466 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference20th International Conference on Case-Based Reasoning, ICCBR 2012
Country/TerritoryFrance
CityLyon
Period3/09/126/09/12

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