Do you want to know? Recommending strangers in the enterprise

  • Ido Guy
  • , Sigalit Ur
  • , Inbal Ronen
  • , Adam Perer
  • , Michal Jacovi

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

51 Scopus citations

Abstract

Recent studies on people recommendation have focused on suggesting people the user already knows. In this work, we use social media behavioral data to recommend people the user is not likely to know, but nonetheless may be interested in. Our evaluation is based on an extensive user study with 516 participants within a large enterprise and includes both quantitative and qualitative results. We found that many employees valued the recommendations, even if only one or two of nine recommendations were interesting strangers. Based on these results, we discuss potential deployment routes and design implications for a stranger recommendation feature.

Original languageEnglish
Title of host publicationProceedings of the ACM 2011 Conference on Computer Supported Cooperative Work, CSCW 2011
PublisherAssociation for Computing Machinery
Pages285-294
Number of pages10
ISBN (Print)9781450305563
DOIs
StatePublished - 19 Mar 2011
Externally publishedYes
EventACM 2011 Conference on Computer Supported Cooperative Work, CSCW 2011 - Hangzhou, China
Duration: 19 Mar 201123 Mar 2011

Publication series

NameProceedings of the ACM Conference on Computer Supported Cooperative Work, CSCW

Conference

ConferenceACM 2011 Conference on Computer Supported Cooperative Work, CSCW 2011
Country/TerritoryChina
CityHangzhou
Period19/03/1123/03/11

Keywords

  • People recommendation
  • Social matching
  • Social media
  • Social networks

ASJC Scopus subject areas

  • Software
  • Human-Computer Interaction
  • Computer Networks and Communications

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