research-article

Increasing Activity in Enterprise Online Communities Using Content Recommendation

Authors:

Maya BarneaAuthors Info & Claims

ACM Transactions on Computer-Human Interaction (TOCHI), Volume 23, Issue 4

Article No.: 22, Pages 1 - 28

https://doi.org/10.1145/2910581

Published: 13 August 2016 Publication History

Abstract

Although online communities have become popular both on the web and within enterprises, many of them often experience low levels of activity and engagement from their members. Previous studies identified the important role of community leaders in maintaining the health and vitality of their communities. One of their key means for doing so is by contributing relevant content to the community. In this paper, we study the effects of recommending social media content on enterprise community leaders. We conducted a large-scale user survey with four recommendation rounds, in which community leaders indicated their willingness to share social media items with their communities. They also had the option to instantly share these items. Recommendations were generated based on seven types of community interest profiles that were member-based, content-based, or hybrid. Our results attest that providing content recommendations to leaders can help uplift activity within their communities.

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Cited By

Munson JCummins BZosso D(2025)An introduction to collaborative filtering through the lens of the Netflix PrizeKnowledge and Information Systems10.1007/s10115-024-02315-zOnline publication date: 10-Jan-2025
https://doi.org/10.1007/s10115-024-02315-z
Guo XWang LZhang MChen G(2022)First Things First? Order Effects in Online Product Recommender SystemsACM Transactions on Computer-Human Interaction10.1145/355788630:1(1-35)Online publication date: 22-Aug-2022
https://dl.acm.org/doi/10.1145/3557886
Guy IPera SEkstrand MAmatriain XO'Donovan J(2018)Connecting sellers and buyers on the world's largest inventoryProceedings of the 12th ACM Conference on Recommender Systems10.1145/3240323.3241733(490-491)Online publication date: 27-Sep-2018
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Index Terms

Recommendations

Interaction-Based Recommendations for Online Communities

A key challenge in online communities is that of keeping a community active and alive. All online communities work hard to keep their members through various initiatives, such as personalisation and recommendation technologies. In online communities ...
Recommending social media content to community owners
SIGIR '14: Proceedings of the 37th international ACM SIGIR conference on Research & development in information retrieval

Online communities within the enterprise offer their leaders an easy and accessible way to attract, engage, and influence others. Our research studies the recommendation of social media content to leaders (owners) of online communities within the ...
What motivates members to contribute to enterprise online communities?
CSCW Companion '14: Proceedings of the companion publication of the 17th ACM conference on Computer supported cooperative work & social computing

A major challenge for online communities is encouraging members to participate and contribute content to the community. While prior work has identified motivators to contribute for internet community members, it is unknown if these are the same for ...

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Published In

cover image ACM Transactions on Computer-Human Interaction

ACM Transactions on Computer-Human Interaction Volume 23, Issue 4

September 2016

199 pages

ISSN:1073-0516

EISSN:1557-7325

DOI:10.1145/2983309

Editor:
Ken Hinckley
Microsoft Research

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Copyright © 2016 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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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 13 August 2016

Accepted: 01 March 2016

Revised: 01 October 2015

Received: 01 January 2015

Published in TOCHI Volume 23, Issue 4

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Cited By

Munson JCummins BZosso D(2025)An introduction to collaborative filtering through the lens of the Netflix PrizeKnowledge and Information Systems10.1007/s10115-024-02315-zOnline publication date: 10-Jan-2025
https://doi.org/10.1007/s10115-024-02315-z
Guo XWang LZhang MChen G(2022)First Things First? Order Effects in Online Product Recommender SystemsACM Transactions on Computer-Human Interaction10.1145/355788630:1(1-35)Online publication date: 22-Aug-2022
https://dl.acm.org/doi/10.1145/3557886
Guy IPera SEkstrand MAmatriain XO'Donovan J(2018)Connecting sellers and buyers on the world's largest inventoryProceedings of the 12th ACM Conference on Recommender Systems10.1145/3240323.3241733(490-491)Online publication date: 27-Sep-2018
https://dl.acm.org/doi/10.1145/3240323.3241733
Kremer-Davidson SRonen ILeiba LKaplan ABarnea MBerkovsky SHijikata YRekimoto JBurnett MBillinghurst MQuigley A(2018)Personal Recommendations for Raising Social Eminence in an EnterpriseProceedings of the 23rd International Conference on Intelligent User Interfaces10.1145/3172944.3172956(629-639)Online publication date: 5-Mar-2018
https://dl.acm.org/doi/10.1145/3172944.3172956
Guy INus APelleg DSzpektor IChang YZhai CLiu YMaarek Y(2018)Care to Share?Proceedings of the Eleventh ACM International Conference on Web Search and Data Mining10.1145/3159652.3159713(207-215)Online publication date: 2-Feb-2018
https://dl.acm.org/doi/10.1145/3159652.3159713
Ji KChen ZSun RMa KYuan ZXu G(2018)GISTExpert Systems with Applications: An International Journal10.1016/j.eswa.2017.10.03794:C(81-93)Online publication date: 15-Mar-2018
https://dl.acm.org/doi/10.1016/j.eswa.2017.10.037
Guy IRadinsky KKando NSakai TJoho HLi Hde Vries AWhite R(2017)Structuring the UnstructuredProceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval10.1145/3077136.3096469(1351-1351)Online publication date: 7-Aug-2017
https://dl.acm.org/doi/10.1145/3077136.3096469
Guy I(2012)Social Recommender SystemsRecommender Systems Handbook10.1007/978-1-0716-2197-4_22(835-870)Online publication date: 24-Feb-2012
https://doi.org/10.1007/978-1-0716-2197-4_22

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