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Swimming against the streamz: search and analytics over the enterprise activity stream

Authors:

Ido Guy,

Tal Steier,

Maya Barnea,

Inbal Ronen,

Tal DanielAuthors Info & Claims

CIKM '12: Proceedings of the 21st ACM international conference on Information and knowledge management

Pages 1587 - 1591

https://doi.org/10.1145/2396761.2398478

Published: 29 October 2012 Publication History

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Abstract

Activity streams have become prevalent on the web and are starting to emerge in enterprises. In this work, we present Streamz, a novel application that uses a faceted search approach to provide employees with advanced capabilities of search, navigation, attention management, and other types of analytics on top of an enterprise activity stream. We provide a detailed description of the Streamz tool as well as usage analysis based on user interface logs and interviews of active users.

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Cited By

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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
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
Guy I(2018)People Recommendation on Social MediaSocial Information Access10.1007/978-3-319-90092-6_15(570-623)Online publication date: 3-May-2018
https://doi.org/10.1007/978-3-319-90092-6_15
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Index Terms

Swimming against the streamz: search and analytics over the enterprise activity stream
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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Information

Published In

CIKM '12: Proceedings of the 21st ACM international conference on Information and knowledge management

October 2012

2840 pages

ISBN:9781450311564

DOI:10.1145/2396761

General Chair:
Xuewen Chen
Wayne State University, USA
,
Program Chairs:
Guy Lebanon
Georgia Institute of Technology
,
Haixun Wang
Microsoft Research Asia
,
Mohammed J. Zaki
Rensselaer Polytechnic Institute

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

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Published: 29 October 2012

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CIKM'12: 21st ACM International Conference on Information and Knowledge Management

October 29 - November 2, 2012

Hawaii, Maui, USA

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Overall Acceptance Rate 1,861 of 8,427 submissions, 22%

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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
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
Guy I(2018)People Recommendation on Social MediaSocial Information Access10.1007/978-3-319-90092-6_15(570-623)Online publication date: 3-May-2018
https://doi.org/10.1007/978-3-319-90092-6_15
Kraus NCarmel DKeidar I(2017)Fishing in the stream: Similarity search over endless data2017 IEEE International Conference on Big Data (Big Data)10.1109/BigData.2017.8258016(964-969)Online publication date: Dec-2017
https://doi.org/10.1109/BigData.2017.8258016
Guy IPizzato LSen SGeyer WFreyne JCastells P(2016)People Recommendation TutorialProceedings of the 10th ACM Conference on Recommender Systems10.1145/2959100.2959196(431-432)Online publication date: 7-Sep-2016
https://dl.acm.org/doi/10.1145/2959100.2959196
Hashavit ALevin RGuy IKutiel GPerego RSebastiani FAslam JRuthven IZobel J(2016)Effective Trend Detection within a Dynamic Search ContextProceedings of the 39th International ACM SIGIR conference on Research and Development in Information Retrieval10.1145/2911451.2914705(817-820)Online publication date: 7-Jul-2016
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Guy IRonen IKravi EBarnea M(2016)Increasing Activity in Enterprise Online Communities Using Content RecommendationACM Transactions on Computer-Human Interaction10.1145/291058123:4(1-28)Online publication date: 13-Aug-2016
https://dl.acm.org/doi/10.1145/2910581
Guy IWerthner HZanker MGolbeck JSemeraro G(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
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Agarwal DChen BHe QHua ZLebanon GMa YShivaswamy PTseng HYang JZhang LCao LZhang CJoachims TWebb GMargineantu DWilliams G(2015)Personalizing LinkedIn FeedProceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining10.1145/2783258.2788614(1651-1660)Online publication date: 10-Aug-2015
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Guy ILevin RDaniel TBolshinsky EBaeza-Yates RLalmas MMoffat ARibeiro-Neto B(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
https://dl.acm.org/doi/10.1145/2766462.2767746
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Personalized activity streams: sifting through the "river of news"

"Personal Social Dashboard": A Tool for Measuring Your Social Engagement Effectiveness in the Enterprise

Mining and analyzing the enterprise knowledge graph

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