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185
Voted
KDD
2009
ACM
191views Data Mining» more  KDD 2009»
16 years 7 months ago
Efficient methods for topic model inference on streaming document collections
Topic models provide a powerful tool for analyzing large text collections by representing high dimensional data in a low dimensional subspace. Fitting a topic model given a set of...
Limin Yao, David M. Mimno, Andrew McCallum
200
Voted
KDD
2009
ACM
229views Data Mining» more  KDD 2009»
16 years 7 months ago
Relational learning via latent social dimensions
Social media such as blogs, Facebook, Flickr, etc., presents data in a network format rather than classical IID distribution. To address the interdependency among data instances, ...
Lei Tang, Huan Liu
187
Voted
KDD
2007
ACM
186views Data Mining» more  KDD 2007»
16 years 7 months ago
Content-based document routing and index partitioning for scalable similarity-based searches in a large corpus
We present a document routing and index partitioning scheme for scalable similarity-based search of documents in a large corpus. We consider the case when similarity-based search ...
Deepavali Bhagwat, Kave Eshghi, Pankaj Mehra
CHI
2001
ACM
16 years 7 months ago
ConNexus to awarenex: extending awareness to mobile users
We explored the use of awareness information to facilitate communication by developing a series of prototypes. The ConNexus prototype integrates awareness information, instant mes...
John C. Tang, Nicole Yankelovich, James Begole, Ma...
STOC
2007
ACM
127views Algorithms» more  STOC 2007»
16 years 7 months ago
First to market is not everything: an analysis of preferential attachment with fitness
The design of algorithms on complex networks, such as routing, ranking or recommendation algorithms, requires a detailed understanding of the growth characteristics of the network...
Christian Borgs, Jennifer T. Chayes, Constantinos ...
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