People recommendation tutorial

Ido Guy; Luiz Pizzato

doi:10.1145/2959100.2959196

People recommendation tutorial

Ido Guy, Luiz Pizzato

Department of Software and Information Systems Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

6 Scopus citations

Abstract

People recommenders have become a rich research area within the broad recommender systems community and social rec- ommender systems in particular. From \people you may know"and\who to follow"widgets, through people introduc- tion at conferences, job recommendations and job-candidate search, to dating partner matchmakers, people recommen- dations proliferate. This tutorial will present an overview of the people recommender systems domain. We will present the different types and use cases of people recommendations, the special techniques used to recommend people to them- selves, key research work, and open challenges.

Original language	English
Title of host publication	RecSys 2016 - Proceedings of the 10th ACM Conference on Recommender Systems
Publisher	Association for Computing Machinery, Inc
Pages	431-432
Number of pages	2
ISBN (Electronic)	9781450340359
DOIs	https://doi.org/10.1145/2959100.2959196
State	Published - 7 Sep 2016
Event	10th ACM Conference on Recommender Systems, RecSys 2016 - Boston, United States Duration: 15 Sep 2016 → 19 Sep 2016

Publication series

Name	RecSys 2016 - Proceedings of the 10th ACM Conference on Recommender Systems

Conference

Conference	10th ACM Conference on Recommender Systems, RecSys 2016
Country/Territory	United States
City	Boston
Period	15/09/16 → 19/09/16

Keywords

People recommenders
Reciprocal recommendations
Recommending people
Social recommender systems

ASJC Scopus subject areas

Control and Systems Engineering
Hardware and Architecture
Computer Networks and Communications

Access to Document

10.1145/2959100.2959196

Cite this

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title = "People recommendation tutorial",

abstract = "People recommenders have become a rich research area within the broad recommender systems community and social rec- ommender systems in particular. From \people you may know{"}and\who to follow{"}widgets, through people introduc- tion at conferences, job recommendations and job-candidate search, to dating partner matchmakers, people recommen- dations proliferate. This tutorial will present an overview of the people recommender systems domain. We will present the different types and use cases of people recommendations, the special techniques used to recommend people to them- selves, key research work, and open challenges.",

keywords = "People recommenders, Reciprocal recommendations, Recommending people, Social recommender systems",

author = "Ido Guy and Luiz Pizzato",

note = "Publisher Copyright: {\textcopyright} 2016 Copyright held by the owner/author(s).; 10th ACM Conference on Recommender Systems, RecSys 2016 ; Conference date: 15-09-2016 Through 19-09-2016",

year = "2016",

month = sep,

day = "7",

doi = "10.1145/2959100.2959196",

language = "English",

series = "RecSys 2016 - Proceedings of the 10th ACM Conference on Recommender Systems",

publisher = "Association for Computing Machinery, Inc",

pages = "431--432",

booktitle = "RecSys 2016 - Proceedings of the 10th ACM Conference on Recommender Systems",

}

Guy, I & Pizzato, L 2016, People recommendation tutorial. in RecSys 2016 - Proceedings of the 10th ACM Conference on Recommender Systems. RecSys 2016 - Proceedings of the 10th ACM Conference on Recommender Systems, Association for Computing Machinery, Inc, pp. 431-432, 10th ACM Conference on Recommender Systems, RecSys 2016, Boston, United States, 15/09/16. https://doi.org/10.1145/2959100.2959196

People recommendation tutorial. / Guy, Ido; Pizzato, Luiz.
RecSys 2016 - Proceedings of the 10th ACM Conference on Recommender Systems. Association for Computing Machinery, Inc, 2016. p. 431-432 (RecSys 2016 - Proceedings of the 10th ACM Conference on Recommender Systems).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AB - People recommenders have become a rich research area within the broad recommender systems community and social rec- ommender systems in particular. From \people you may know"and\who to follow"widgets, through people introduc- tion at conferences, job recommendations and job-candidate search, to dating partner matchmakers, people recommen- dations proliferate. This tutorial will present an overview of the people recommender systems domain. We will present the different types and use cases of people recommendations, the special techniques used to recommend people to them- selves, key research work, and open challenges.

KW - People recommenders

KW - Reciprocal recommendations

KW - Recommending people

KW - Social recommender systems

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M3 - Conference contribution

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BT - RecSys 2016 - Proceedings of the 10th ACM Conference on Recommender Systems

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Y2 - 15 September 2016 through 19 September 2016

ER -

People recommendation tutorial

Abstract

Publication series

Conference

Keywords

ASJC Scopus subject areas

Access to Document

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Cite this