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Introduction to Social Information Access Kapitel lesen Erstes Kapitel lesen

2018 | OriginalPaper | Buchkapitel

Recommendations Based on Social Links

verfasst von : Danielle Lee, Peter Brusilovsky

Erschienen in: Social Information Access

Verlag: Springer International Publishing

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Abstract

The goal of this chapter is to give an overview of recent works on the development of social link-based recommender systems and to offer insights on related issues, as well as future directions for research. Among several kinds of social recommendations, this chapter focuses on recommendations, which are based on users’ self-defined (i.e., explicit) social links and suggest items, rather than people of interest. The chapter starts by reviewing the needs for social link-based recommendations and studies that explain the viability of social networks as useful information sources. Following that, the core part of the chapter dissects and examines modern research on social link-based recommendations along several dimensions. It concludes with a discussion of several important issues and future directions for social link-based recommendation research.

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Vorheriges Kapitel Rating-Based Collaborative Filtering: Algorithms and Evaluation
Nächstes Kapitel Tag-Based Recommendation
Fußnoten
1
Epinions.​com aims to review a wide range of products from digital gadgets, appliances, sports gears, toys, movies, books, songs and more. None of the studies using Epinions.​com datasets clearly stated the product category of the target items; hence we classified the target items as general products.
 
11
For more detailed information about random walk and random walk with restart, refer to [126].
 
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Metadaten
Titel
Recommendations Based on Social Links
verfasst von
Danielle Lee
Peter Brusilovsky
Copyright-Jahr
2018
Buch
Social Information Access

Print ISBN: 978-3-319-90091-9

Electronic ISBN: 978-3-319-90092-6

Copyright-Jahr: 2018

DOI
https://doi.org/10.1007/978-3-319-90092-6_11