Collabot: Personalized group chat summarization

Naama Tepper; Anat Hashavit; Maya Barnea; Inbal Ronen; Lior Leiba

doi:10.1145/3159652.3160588

Collabot: Personalized group chat summarization

Naama Tepper, Anat Hashavit, Maya Barnea, Inbal Ronen, Lior Leiba

IBM

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

14 Scopus citations

Abstract

In recent¹ years, enterprise group chat collaboration tools, such as Slack, IBM's Watson Workspace and Microsoft Teams, have presented unprecedented growth. With all the potential benefits of these tools - productivity increase and improved group communication - come significant challenges. Specifically, the 'always on' feature that makes it hard for users to cope with the load of conversational content and get up to speed after logging off for a while. In this demo, we present Collabot - a chat assistant service that implicitly learns users interests and social ties within a chat group and provides a personalized digest of missed content. Collabot assists users in coping with chat information overload by helping them understand the main topics discussed, collaborators, links and resources. This demo has two main contributions. First, we present a novel personalized group chat summarization algorithm; second the demonstration depicts a working implementation applied on different chat groups from different domains within IBM. A video, describing the demo can be found at https://www.youtube.com/watch?v=6cVsstiJ9vk.

Original language	English
Title of host publication	WSDM 2018 - Proceedings of the 11th ACM International Conference on Web Search and Data Mining
Publisher	Association for Computing Machinery, Inc
Pages	771-774
Number of pages	4
ISBN (Electronic)	9781450355810
DOIs	https://doi.org/10.1145/3159652.3160588
State	Published - 2 Feb 2018
Externally published	Yes
Event	11th ACM International Conference on Web Search and Data Mining, WSDM 2018 - Marina Del Rey, United States Duration: 5 Feb 2018 → 9 Feb 2018

Publication series

Name	WSDM 2018 - Proceedings of the 11th ACM International Conference on Web Search and Data Mining
Volume	2018-Febuary

Conference

Conference	11th ACM International Conference on Web Search and Data Mining, WSDM 2018
Country/Territory	United States
City	Marina Del Rey
Period	5/02/18 → 9/02/18

Bibliographical note

Publisher Copyright:
© 2018 Association for Computing Machinery.

Access to Document

10.1145/3159652.3160588

Cite this

Tepper, N., Hashavit, A., Barnea, M., Ronen, I., & Leiba, L. (2018). Collabot: Personalized group chat summarization. In WSDM 2018 - Proceedings of the 11th ACM International Conference on Web Search and Data Mining (pp. 771-774). (WSDM 2018 - Proceedings of the 11th ACM International Conference on Web Search and Data Mining; Vol. 2018-Febuary). Association for Computing Machinery, Inc. https://doi.org/10.1145/3159652.3160588

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abstract = "In recent1 years, enterprise group chat collaboration tools, such as Slack, IBM's Watson Workspace and Microsoft Teams, have presented unprecedented growth. With all the potential benefits of these tools - productivity increase and improved group communication - come significant challenges. Specifically, the 'always on' feature that makes it hard for users to cope with the load of conversational content and get up to speed after logging off for a while. In this demo, we present Collabot - a chat assistant service that implicitly learns users interests and social ties within a chat group and provides a personalized digest of missed content. Collabot assists users in coping with chat information overload by helping them understand the main topics discussed, collaborators, links and resources. This demo has two main contributions. First, we present a novel personalized group chat summarization algorithm; second the demonstration depicts a working implementation applied on different chat groups from different domains within IBM. A video, describing the demo can be found at https://www.youtube.com/watch?v=6cVsstiJ9vk.",

author = "Naama Tepper and Anat Hashavit and Maya Barnea and Inbal Ronen and Lior Leiba",

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Tepper, N, Hashavit, A, Barnea, M, Ronen, I & Leiba, L 2018, Collabot: Personalized group chat summarization. in WSDM 2018 - Proceedings of the 11th ACM International Conference on Web Search and Data Mining. WSDM 2018 - Proceedings of the 11th ACM International Conference on Web Search and Data Mining, vol. 2018-Febuary, Association for Computing Machinery, Inc, pp. 771-774, 11th ACM International Conference on Web Search and Data Mining, WSDM 2018, Marina Del Rey, United States, 5/02/18. https://doi.org/10.1145/3159652.3160588

Collabot: Personalized group chat summarization. / Tepper, Naama; Hashavit, Anat; Barnea, Maya et al.
WSDM 2018 - Proceedings of the 11th ACM International Conference on Web Search and Data Mining. Association for Computing Machinery, Inc, 2018. p. 771-774 (WSDM 2018 - Proceedings of the 11th ACM International Conference on Web Search and Data Mining; Vol. 2018-Febuary).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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Tepper N, Hashavit A, Barnea M, Ronen I, Leiba L. Collabot: Personalized group chat summarization. In WSDM 2018 - Proceedings of the 11th ACM International Conference on Web Search and Data Mining. Association for Computing Machinery, Inc. 2018. p. 771-774. (WSDM 2018 - Proceedings of the 11th ACM International Conference on Web Search and Data Mining). doi: 10.1145/3159652.3160588

Collabot: Personalized group chat summarization

Abstract

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