The First
International Workshop on
Cross Domain
Knowledge Discovery in Web and Social Network Mining
In conjunction
with ACM KDD 2012,
August 12, 2012, Beijing, China
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Introduction
In
the field of Web and social network mining, more and more learning
tasks can easily acquire multiple data sets from various domains.
At the same time, the need for knowledge
transfer is increasingly evident as many new datasets, or parts of
data, are only very sparsely annotated. Different from traditional
single-domain learning problems based on the assumption that training
and test data are drawn from identical distribution, cross domain
learning problems are built on multiple domain data that may have
different degrees of relatedness to target tasks, offering an
opportunity to help one another. To better leverage multiple domain
data, mining and transferring of shared knowledge across multiple
domains is likely to become a crucial step in Web and social network
mining in the future.
Topics of Interest
Representative
issues to be addressed include but are not limited to:
1. Cross
domain ranking
2. Cross
domain recommendation
3. Cross
domain social network analysis
4. Cross
domain natural language processing
5. Cross
domain learning on structure data
6. Cross
domain learning on stream data
7. Cross
domain learning on heterogeneous data
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Important Dates
May
12, 2012: Due date for full papers
June 5,
2012: Notification of acceptance
June 12,
2012: Camera-ready of accepted papers
August
12, 2012: Workshop date
Paper Submission
A
maximum of 8 pages in KDD-2012
format.
The
paper submission site is here.
The top
quality papers will be invited to IEEE
Intelligent
System Special Issue.
Workshop Chairs
Bo Long
Yahoo!
Labs
Yi Chang
Yahoo!
Labs
Hang Li
Microsoft
Research Asia
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