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» Modeling word burstiness using the Dirichlet distribution
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ICDM
2007
IEEE
133views Data Mining» more  ICDM 2007»
15 years 6 months ago
Topical N-Grams: Phrase and Topic Discovery, with an Application to Information Retrieval
Most topic models, such as latent Dirichlet allocation, rely on the bag-of-words assumption. However, word order and phrases are often critical to capturing the meaning of text in...
Xuerui Wang, Andrew McCallum, Xing Wei
RECSYS
2009
ACM
15 years 6 months ago
Latent dirichlet allocation for tag recommendation
Tagging systems have become major infrastructures on the Web. They allow users to create tags that annotate and categorize content and share them with other users, very helpful in...
Ralf Krestel, Peter Fankhauser, Wolfgang Nejdl
CICLING
2010
Springer
15 years 3 months ago
Multi Word Term Queries for Focused Information Retrieval
In this paper, we address both standard and focused retrieval tasks based on comprehensible language models and interactive query expansion (IQE). Query topics are expanded using a...
Eric SanJuan, Fidelia Ibekwe-Sanjuan
NIPS
2008
15 years 1 months ago
Asynchronous Distributed Learning of Topic Models
Distributed learning is a problem of fundamental interest in machine learning and cognitive science. In this paper, we present asynchronous distributed learning algorithms for two...
Arthur Asuncion, Padhraic Smyth, Max Welling
MIDDLEWARE
2009
Springer
15 years 4 months ago
Automatic Stress Testing of Multi-tier Systems by Dynamic Bottleneck Switch Generation
Abstract. The performance of multi-tier systems is known to be significantly degraded by workloads that place bursty service demands on system resources. Burstiness can cause queu...
Giuliano Casale, Amir Kalbasi, Diwakar Krishnamurt...