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Home / Proceedings / Proceedings of the AAAI Conference on Artificial Intelligence, 29 / No.1: The Twenty-Ninth Conference on Artificial Intelligence

Perceiving Group Themes from Collective Social and Behavioral Information

March 8, 2023

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Authors

Peng Cui

Tsinghua University


Tianyang Zhang

Tsinghua University


Fei Wang

University of Connecticut


Peng He

Tencent Technology


DOI:

10.1609/aaai.v29i1.9171


Abstract:

Collective social and behavioral information commonly exists in nature. There is a widespread intuitive sense that the characteristics of these social and behavioral information are to some extend related to the themes (or semantics) of the activities or targets. In this paper, we explicitly validate the interplay of collective social behavioral information and group themes using a large scale real dataset of online groups, and demonstrate the possibility of perceiving group themes from collective social and behavioral information. We propose a REgularized miXEd Regression (REXER) model based on matrix factorization to infer hierarchical semantics (including both group category and group labels) from collective social and behavioral information of group members. We extensively evaluate the proposed method in a large scale real online group dataset. For the prediction of group themes, the proposed REXER achieves satisfactory performances in various criterions. More specifically, we can predict the category of a group (among 6 categories) purely based on the collective social and behavioral information of the group with the Precision@1 to be 55.16% , without any assistance from group labels or conversation contents. We also show, perhaps counterintuitively, that the collective social and behavioral information is more reliable than the titles and labels of groups for inferring the group categories.

Topics: AAAI

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HOW TO CITE:

Peng Cui|| Tianyang Zhang|| Fei Wang|| Peng He Perceiving Group Themes from Collective Social and Behavioral Information Proceedings of the AAAI Conference on Artificial Intelligence, 29 (2015) .

Peng Cui|| Tianyang Zhang|| Fei Wang|| Peng He Perceiving Group Themes from Collective Social and Behavioral Information AAAI 2015, .

Peng Cui|| Tianyang Zhang|| Fei Wang|| Peng He (2015). Perceiving Group Themes from Collective Social and Behavioral Information. Proceedings of the AAAI Conference on Artificial Intelligence, 29, .

Peng Cui|| Tianyang Zhang|| Fei Wang|| Peng He. Perceiving Group Themes from Collective Social and Behavioral Information. Proceedings of the AAAI Conference on Artificial Intelligence, 29 2015 p..

Peng Cui|| Tianyang Zhang|| Fei Wang|| Peng He. 2015. Perceiving Group Themes from Collective Social and Behavioral Information. "Proceedings of the AAAI Conference on Artificial Intelligence, 29". .

Peng Cui|| Tianyang Zhang|| Fei Wang|| Peng He. (2015) "Perceiving Group Themes from Collective Social and Behavioral Information", Proceedings of the AAAI Conference on Artificial Intelligence, 29, p.

Peng Cui|| Tianyang Zhang|| Fei Wang|| Peng He, "Perceiving Group Themes from Collective Social and Behavioral Information", AAAI, p., 2015.

Peng Cui|| Tianyang Zhang|| Fei Wang|| Peng He. "Perceiving Group Themes from Collective Social and Behavioral Information". Proceedings of the AAAI Conference on Artificial Intelligence, 29, 2015, p..

Peng Cui|| Tianyang Zhang|| Fei Wang|| Peng He. "Perceiving Group Themes from Collective Social and Behavioral Information". Proceedings of the AAAI Conference on Artificial Intelligence, 29, (2015): .

Peng Cui|| Tianyang Zhang|| Fei Wang|| Peng He. Perceiving Group Themes from Collective Social and Behavioral Information. AAAI[Internet]. 2015[cited 2023]; .


ISSN: 2374-3468


Published by AAAI Press, Palo Alto, California USA
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