research-article

Do you know?: recommending people to invite into your social network

Authors:

Eric WilcoxAuthors Info & Claims

IUI '09: Proceedings of the 14th international conference on Intelligent user interfaces

Pages 77 - 86

https://doi.org/10.1145/1502650.1502664

Published: 08 February 2009 Publication History

Abstract

In this paper we describe a novel UI and system for providing users with recommendations of people to invite into their explicit enterprise social network. The recommendations are based on aggregated information collected from various sources across the organization and are displayed in a widget, which is part of a popular enhanced employee directory. Recommended people are presented one by one, with detailed reasoning as for why they were recommended. Usage results are presented for a period of four months that indicate an extremely significant impact on the number of connections created in the system. Responses in the organization's blogging system, a survey with over 200 participants, and a set of interviews we conducted shed more light on the way the widget is used and implications of the design choices made.

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Cited By

Hong JJeon GLee S(2023)Exploring User-oriented Social Recommendation System through Granting Users Control over a Social GroupProceedings of the 5th ACM International Conference on Multimedia in Asia10.1145/3595916.3626369(1-5)Online publication date: 6-Dec-2023
https://dl.acm.org/doi/10.1145/3595916.3626369
Sai ASahil GNadh BEswar KS NPrakash KMahesh A(2023)Friend Recommendation System Using Map-Reduce and Spark: A Comparison Study2023 4th International Conference on Innovative Trends in Information Technology (ICITIIT)10.1109/ICITIIT57246.2023.10068723(1-6)Online publication date: 11-Feb-2023
https://doi.org/10.1109/ICITIIT57246.2023.10068723
Barkan OShaked TFuchs YKoenigstein N(2023)Modeling users’ heterogeneous taste with diversified attentive user profilesUser Modeling and User-Adapted Interaction10.1007/s11257-023-09376-934:2(375-405)Online publication date: 1-Aug-2023
https://doi.org/10.1007/s11257-023-09376-9
Show More Cited By

Index Terms

Do you know?: recommending people to invite into your social network
1. Human-centered computing
  1. Collaborative and social computing
    1. Collaborative and social computing theory, concepts and paradigms
      1. Computer supported cooperative work
2. Social and professional topics
  1. Professional topics
    1. Computing and business
      1. Computer supported cooperative work

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Published In

cover image ACM Conferences

IUI '09: Proceedings of the 14th international conference on Intelligent user interfaces

February 2009

522 pages

ISBN:9781605581682

DOI:10.1145/1502650

General Chairs:
Cristina Conati
University of British Columbia, Canada
,
Mathias Bauer
mineway GmbH, Germany
,
Program Chairs:
Nuria Oliver
Telefonica Research, Spain
,
Dan Weld
University of Washington, USA

Copyright © 2009 ACM.

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: 08 February 2009

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February 8 - 11, 2009

Florida, Sanibel Island, USA

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Overall Acceptance Rate 746 of 2,811 submissions, 27%

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Cited By

Hong JJeon GLee S(2023)Exploring User-oriented Social Recommendation System through Granting Users Control over a Social GroupProceedings of the 5th ACM International Conference on Multimedia in Asia10.1145/3595916.3626369(1-5)Online publication date: 6-Dec-2023
https://dl.acm.org/doi/10.1145/3595916.3626369
Sai ASahil GNadh BEswar KS NPrakash KMahesh A(2023)Friend Recommendation System Using Map-Reduce and Spark: A Comparison Study2023 4th International Conference on Innovative Trends in Information Technology (ICITIIT)10.1109/ICITIIT57246.2023.10068723(1-6)Online publication date: 11-Feb-2023
https://doi.org/10.1109/ICITIIT57246.2023.10068723
Barkan OShaked TFuchs YKoenigstein N(2023)Modeling users’ heterogeneous taste with diversified attentive user profilesUser Modeling and User-Adapted Interaction10.1007/s11257-023-09376-934:2(375-405)Online publication date: 1-Aug-2023
https://doi.org/10.1007/s11257-023-09376-9
Twyman MNewman DDeChurch LContractor N(2022)Teammate invitation networks: The roles of recommender systems and prior collaboration in team assemblySocial Networks10.1016/j.socnet.2021.04.00868(84-96)Online publication date: Jan-2022
https://doi.org/10.1016/j.socnet.2021.04.008
Symeonidis PPerentis C(2022)Link Prediction in Multi-modal Social NetworksMachine Learning and Knowledge Discovery in Databases10.1007/978-3-662-44845-8_10(147-162)Online publication date: 10-Mar-2022
https://dl.acm.org/doi/10.1007/978-3-662-44845-8_10
Palomares IPorcel CPizzato LGuy IHerrera-Viedma E(2021)Reciprocal Recommender Systems: Analysis of state-of-art literature, challenges and opportunities towards social recommendationInformation Fusion10.1016/j.inffus.2020.12.00169(103-127)Online publication date: May-2021
https://doi.org/10.1016/j.inffus.2020.12.001
Du YYan TLi XZhou JWang YShan J(2021)A Learning Interests Oriented Model for Cold Start RecommendationWeb and Big Data. APWeb-WAIM 2020 International Workshops10.1007/978-981-16-0479-9_7(83-95)Online publication date: 1-Apr-2021
https://doi.org/10.1007/978-981-16-0479-9_7
Lo Cde Longueau ESaha AChatterjee S(2020)Edge formation in Social Networks to Nurture Content CreatorsProceedings of The Web Conference 202010.1145/3366423.3380267(1999-2008)Online publication date: 20-Apr-2020
https://dl.acm.org/doi/10.1145/3366423.3380267
Tsai CBrusilovsky P(2020)The effects of controllability and explainability in a social recommender systemUser Modeling and User-Adapted Interaction10.1007/s11257-020-09281-5Online publication date: 16-Oct-2020
https://doi.org/10.1007/s11257-020-09281-5
Kleinerman ARosenfeld ARicci FKraus S(2020)Supporting users in finding successful matches in reciprocal recommender systemsUser Modeling and User-Adapted Interaction10.1007/s11257-020-09279-zOnline publication date: 30-Oct-2020
https://doi.org/10.1007/s11257-020-09279-z
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