Collaborative User Clustering for Short Text Streams.

Shangsong Liang, Zhaochun Ren, Emine Yilmaz, Evangelos Kanoulas

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

11 Scopus citations

Abstract

Conference on Artificial Intelligence (AAAI 2017), San Francisco, pp. 3504-3510, 2017.

Original language	American English
Title of host publication	Proceedings of the Thirty-first AAAI Conference on Artificial Intelligence
Publisher	AAAI Conference
State	Published - 2017

Investigation of Relationships between Researchers with University College London
Augenstein, I., Maynard, D., Montcheva, K. & Hobby, M.
06/1/14 → 05/31/17
Project: Research

@inproceedings{c2628858a0954a17902422d5c318e799,

title = "Collaborative User Clustering for Short Text Streams.",

abstract = "Conference on Artificial Intelligence (AAAI 2017), San Francisco, pp. 3504-3510, 2017.",

author = "Shangsong Liang and Zhaochun Ren and Emine Yilmaz and Evangelos Kanoulas",

year = "2017",

language = "American English",

booktitle = "Proceedings of the Thirty-first AAAI Conference on Artificial Intelligence",

publisher = "AAAI Conference",

}

TY - GEN

T1 - Collaborative User Clustering for Short Text Streams.

AU - Liang, Shangsong

AU - Ren, Zhaochun

AU - Yilmaz, Emine

AU - Kanoulas, Evangelos

PY - 2017

Y1 - 2017

N2 - Conference on Artificial Intelligence (AAAI 2017), San Francisco, pp. 3504-3510, 2017.

AB - Conference on Artificial Intelligence (AAAI 2017), San Francisco, pp. 3504-3510, 2017.

M3 - Conference contribution

BT - Proceedings of the Thirty-first AAAI Conference on Artificial Intelligence

PB - AAAI Conference

ER -