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Recommendations based on social links

Lee, D and Brusilovsky, P (2018) Recommendations based on social links. In: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). UNSPECIFIED, 391 - 440. ISBN UNSPECIFIED

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Abstract

© Springer International Publishing AG, part of Springer Nature 2018. 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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Details

Item Type: Book Section
Status: Published
Creators/Authors:
CreatorsEmailPitt UsernameORCID
Lee, D
Brusilovsky, Ppeterb@pitt.eduPETERB0000-0002-1902-1464
Date: 1 January 2018
Date Type: Publication
Volume: 10100
Page Range: 391 - 440
DOI or Unique Handle: 10.1007/978-3-319-90092-6_11
Schools and Programs: School of Computing and Information > Information Science
Refereed: Yes
Title of Book: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Date Deposited: 27 Jul 2018 18:57
Last Modified: 17 Oct 2019 12:56
URI: http://d-scholarship.pitt.edu/id/eprint/35030

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