Algorithms for Group Recommendation

Alexander Felfernig; Müslüm Atas; Denis Helic; Thi Ngoc Trang Tran; Martin Stettinger; Ralph Samer

doi:10.1007/978-3-319-75067-5_2

Algorithms for Group Recommendation

Alexander Felfernig, Müslüm Atas, Denis Helic, Thi Ngoc Trang Tran, Martin Stettinger, Ralph Samer

Research output: Chapter in Book/Report/Conference proceeding › Chapter

Abstract

In this chapter, our aim is to show how group recommendation can be implemented on the basis of recommendation paradigms for individual users. Specifically, we focus on collaborative filtering, content-based filtering, constraint-based, critiquing-based, and hybrid recommendation. Throughout this chapter, we differentiate between (1) aggregated predictions and (2) aggregated models as basic strategies for aggregating the preferences of individual group members.

Original language	English
Title of host publication	Group Recommender Systems
Subtitle of host publication	An Introduction
Place of Publication	Cham
Publisher	Springer
Chapter	2
Pages	27-58
Number of pages	32
ISBN (Electronic)	978-3-319-75067-5
ISBN (Print)	978-3-319-75066-8
DOIs	https://doi.org/10.1007/978-3-319-75067-5_2
Publication status	Published - 2018

Publication series

Name	SpringerBriefs in Electrical and Computer Engineering

Keywords

group recommendation
algorithms

Access to Document

10.1007/978-3-319-75067-5_2

Cite this

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AU - Helic, Denis

AU - Tran, Thi Ngoc Trang

AU - Stettinger, Martin

AU - Samer, Ralph

PY - 2018

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KW - algorithms

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M3 - Chapter

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Algorithms for Group Recommendation

Abstract

Publication series

Keywords

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Group Recommender Systems: An Introduction

Cite this