What Users Care About: A Framework for Social Content Alignment

Hou, Lei; Li, Juanzi; Li, Xiaoli; Qu, Jiangfeng; Guo, Xiaofei; Hui, Ou; Tang, Jie

What Users Care About: A Framework for Social Content Alignment

Lei Hou, Juanzi Li, Xiaoli Li, Jiangfeng Qu, Xiaofei Guo, Ou Hui, Jie Tang

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Proceedings of the Twenty-Third International Joint Conference on Artificial Intelligence. Pages 1401-1406.

Abstract

With the rapid proliferation of social media, more and more people freely express their opinions (or comments) on news, products, and movies through online services such as forums, discussion groups, and microblogs. Those comments may be concerned with different aspects (topics) of the target Web document (e.g., a news page).It would be interesting to align the social comments to the corresponding subtopics contained in the Web document. In this paper, we propose a novel framework that is able to automatically detect the subtopics from a given Web document, and also align the associated social comments with the detected subtopics. This provides a new view of the Web standard document and its associated user generated content through topics, which facilitates the readers to quickly focus on those hot topics or grasp topics that they are interested in. Extensive experiments show that our proposed framework significantly outperforms the existing state-of-the-art methods in social content alignment.

Lei Hou, Juanzi Li, Xiaoli Li, Jiangfeng Qu, Xiaofei Guo, Ou Hui, and Jie Tang. 2013. What Users Care About: A Framework for Social Content Alignment. In Proceedings of the Twenty-Third International Joint Conference on Artificial Intelligence, IJCAI-13. IJCAI, 1401–1406. https://ijcai.org/proceedings/2013/210

@inproceedings{ijcai2013p210,
  title     = {What Users Care About: A Framework for Social Content Alignment},
  author    = {Hou, Lei and Li, Juanzi and Li, Xiaoli and Qu, Jiangfeng and Guo, Xiaofei and Hui, Ou and Tang, Jie},
  booktitle = {Proceedings of the Twenty-Third International Joint Conference on
               Artificial Intelligence, {IJCAI-13}},
  publisher = {AAAI Press / International Joint Conferences on Artificial Intelligence},
  editor    = {Francesca Rossi},
  pages     = {1401--1406},
  year      = {2013},
  month     = {8},
  url       = {https://ijcai.org/proceedings/2013/210},
}

TY  - CPAPER
TI  - What Users Care About: A Framework for Social Content Alignment
AU  - Hou, Lei
AU  - Li, Juanzi
AU  - Li, Xiaoli
AU  - Qu, Jiangfeng
AU  - Guo, Xiaofei
AU  - Hui, Ou
AU  - Tang, Jie
T2  - Proceedings of the Twenty-Third International Joint Conference on Artificial Intelligence, IJCAI-13
PB  - AAAI Press / International Joint Conferences on Artificial Intelligence
PY  - 2013
SP  - 1401
EP  - 1406
UR  - https://ijcai.org/proceedings/2013/210
ER  -