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SoRTESum: A Social Context Framework for Single-Document Summarization Read chapter Read first chapter

2016 | OriginalPaper | Chapter

Group Recommender Systems: State of the Art, Emerging Aspects and Techniques, and Research Challenges

Author : Ludovico Boratto

Published in: Advances in Information Retrieval

Publisher: Springer International Publishing

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Abstract

A recommender system aims at suggesting to users items that might interest them and that they have not considered yet. A class of systems, known as group recommendation, provides suggestions in contexts in which more than one person is involved in the recommendation process. The goal of this tutorial is to provide the ECIR audience with an overview on group recommendation. We will first illustrate the recommender systems principles, then formally introduce the problem of producing recommendations to groups, and present a survey based on the tasks performed by these systems. We will also analyze challenging topics like their evaluation, and present emerging aspects and techniques in this area. The tutorial will end with a summary that highlights open issues and research challenges.

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previous chapter Collaborative Information Retrieval: Concepts, Models and Evaluation
next chapter Living Labs for Online Evaluation: From Theory to Practice
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Metadata
Title
Group Recommender Systems: State of the Art, Emerging Aspects and Techniques, and Research Challenges
Author
Ludovico Boratto
Copyright Year
2016
Publisher
Springer International Publishing
Book
Advances in Information Retrieval

Print ISBN: 978-3-319-30670-4

Electronic ISBN: 978-3-319-30671-1

Copyright Year: 2016

DOI
https://doi.org/10.1007/978-3-319-30671-1_87