Author: Chao Liu
Publication Overview
Publication period start: 2011
Number of co-authors: 22
Co-Authors
Number of publications with favourite co-authors
Productive Colleagues
Most productive colleagues in number of publications
Publications
Mei,
Qiaozhu,
Liu,
Chao,
Su,
Hang,
Zhai,
Chengxiang
(2006):
A probabilistic approach to spatiotemporal theme pattern mining on weblogs.
In:
Proceedings of the 2006 International Conference on the World Wide Web
,
2006,
.
pp. 533-542.
https://doi.acm.org/10.1145/1135777.1135857
Guo,
Fan,
Liu,
Chao,
Kannan,
Anitha,
Minka,
Tom,
Taylor,
Michael,
Wang,
Yi-Min,
Faloutsos,
Christos
(2009):
Click chain model in web search.
In:
Proceedings of the 2009 International Conference on the World Wide Web
,
2009,
.
pp. 11-20.
https://doi.acm.org/10.1145/1526709.1526712
Liu,
Chao,
White,
Ryen W.,
Dumais,
Susan
(2010):
Understanding web browsing behaviors through Weibull analysis of dwell time.
In:
Proceedings of the 33rd Annual International ACM SIGIR Conference on Research and Development in Information Retrieval
,
2010,
.
pp. 379-386.
https://doi.acm.org/10.1145/1835449.1835513
Liu,
Chao,
Yang,
Hung-chih,
Fan,
Jinliang,
He,
Li-wei,
Wang,
Yi-Min
(2010):
Distributed nonnegative matrix factorization for web-scale dyadic data analysis on mapredu.
In:
Proceedings of the 2010 International Conference on the World Wide Web
,
2010,
.
pp. 681-690.
https://doi.acm.org/10.1145/1772690.1772760
Yin,
Xiaoxin,
Tan,
Wenzhao,
Liu,
Chao
(2011):
FACTO: a fact lookup engine based on web tables.
In:
Proceedings of the 2011 International Conference on the World Wide Web
,
2011,
.
pp. 507-516.
https://dx.doi.org/10.1145/1963405.1963477
Ma,
Hao,
Liu,
Chao,
King,
Irwin,
Lyu,
Michael R.
(2011):
Probabilistic factor models for web site recommendation.
In:
Proceedings of the 34th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval
,
2011,
.
pp. 265-274.
https://dx.doi.org/10.1145/2009916.2009955
Liu,
Nathan N.,
Meng,
Xiangrui,
Liu,
Chao,
Yang,
Qiang
(2011):
Wisdom of the better few: cold start recommendation via representative based rating elicit.
In:
Proceedings of the 2011 ACM Conference on Recommender Systems
,
2011,
.
pp. 37-44.
https://dx.doi.org/10.1145/2043932.2043943