Best Faces forward: A large-scale study of people search in the enterprise

Ido Guy, Sigalit Ur, Inbal Ronen, Sara Weber, Tolga Oral

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

17 Scopus citations

Abstract

This paper presents Faces, an application built to enable effective people search in the enterprise. We take advantage of the popularity Faces has gained within a globally distributed enterprise to provide an extensive analysis of how and why people search is used within the organization. Our study is primarily based on an analysis of the Faces query log over a period of more than four months, with over a million queries and tens of thousands of users. The analysis results are presented across four dimensions: queries, users, clicks, and actions, and lay the foundation for further advancement and research on the topic.

Original languageEnglish
Title of host publicationConference Proceedings - The 30th ACM Conference on Human Factors in Computing Systems, CHI 2012
Pages1775-1784
Number of pages10
DOIs
StatePublished - 24 May 2012
Externally publishedYes
Event30th ACM Conference on Human Factors in Computing Systems, CHI 2012 - Austin, TX, United States
Duration: 5 May 201210 May 2012

Publication series

NameConference on Human Factors in Computing Systems - Proceedings

Conference

Conference30th ACM Conference on Human Factors in Computing Systems, CHI 2012
Country/TerritoryUnited States
CityAustin, TX
Period5/05/1210/05/12

Keywords

  • Enterprise search
  • Large scale
  • People search

ASJC Scopus subject areas

  • Software
  • Human-Computer Interaction
  • Computer Graphics and Computer-Aided Design

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