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Best faces forward: a large-scale study of people search in the enterprise

Published: 05 May 2012 Publication History

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.

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    cover image ACM Conferences
    CHI '12: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
    May 2012
    3276 pages
    ISBN:9781450310154
    DOI:10.1145/2207676
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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    Published: 05 May 2012

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    Author Tags

    1. enterprise search
    2. large scale
    3. people search

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    • (2018)Distributed Apprenticeship in Online CommunitiesHuman–Computer Interaction10.1080/07370024.2018.146940934:4(328-378)Online publication date: 14-May-2018
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    • (2017)The Trials and Tribulations of Working with Structured DataProceedings of the 2017 CHI Conference on Human Factors in Computing Systems10.1145/3025453.3025838(1277-1289)Online publication date: 2-May-2017
    • (2017)KMS re-contextualization - recognizing learnings from OMIS researchVINE Journal of Information and Knowledge Management Systems10.1108/VJIKMS-05-2016-002147:3(302-318)Online publication date: 14-Aug-2017
    • (2016)People Recommendation TutorialProceedings of the 10th ACM Conference on Recommender Systems10.1145/2959100.2959196(431-432)Online publication date: 7-Sep-2016
    • (2016)People Searched by PeopleProceedings of the 2016 ACM Conference on Designing Interactive Systems10.1145/2901790.2901853(749-760)Online publication date: 4-Jun-2016
    • (2015)The Role of User Location in Personalized Search and RecommendationProceedings of the 9th ACM Conference on Recommender Systems10.1145/2792838.2799502(236-236)Online publication date: 16-Sep-2015
    • (2015)Islands in the StreamProceedings of the 38th International ACM SIGIR Conference on Research and Development in Information Retrieval10.1145/2766462.2767746(665-674)Online publication date: 9-Aug-2015
    • (2014)The role of network distance in linkedin people searchProceedings of the 37th international ACM SIGIR conference on Research & development in information retrieval10.1145/2600428.2609461(867-870)Online publication date: 3-Jul-2014
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