CIKM
2008
Springer
14 years 1 months ago
2008
Springer
CIKM
2008
Springer
14 years 1 months ago
2008
Springer
Data sparsity, scalability and prediction quality have been recognized as the three most crucial challenges that every collaborative filtering algorithm or recommender system conf...
CIKM
2008
Springer
14 years 1 months ago
2008
Springer
Many applications on blog search and mining often meet the challenge of handling huge volume of blog data, in which one single blog could contain hundreds or even thousands of ent...
CIKM
2008
Springer
14 years 1 months ago
2008
Springer
Most prior work on information extraction has focused on extracting information from text in digital documents. However, often, the most important information being reported in an...
CIKM
2008
Springer
14 years 1 months ago
2008
Springer
This paper describes how to automatically cross-reference documents with Wikipedia: the largest knowledge base ever known. It explains how machine learning can be used to identify...
CIKM
2008
Springer
14 years 1 months ago
2008
Springer
In this paper we address the problem of extracting important (and unimportant) discourse patterns from call center conversations. Call centers provide dialog based calling-in supp...
CIKM
2008
Springer
14 years 1 months ago
2008
Springer
Learning a sequence classifier means learning to predict a sequence of output tags based on a set of input data items. For example, recognizing that a handwritten word is "ca...
CIKM
2008
Springer
14 years 1 months ago
2008
Springer
We present a framework for automatically summarizing social group activity over time. The problem is important in understanding large scale online social networks, which have dive...
CIKM
2008
Springer
14 years 1 months ago
2008
Springer
The monumental cost of health care, especially for chronic disease treatment, is quickly becoming unmanageable. This crisis has motivated the drive towards preventative medicine, ...
CIKM
2008
Springer
14 years 1 months ago
2008
Springer
We propose a framework for searching the Wikipedia with contextual information. Our framework extends the typical keyword search, by considering queries of the type q, p , where q...