The First International Workshop on Cross Domain Knowledge Discover in Web and Social Network Mining

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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

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

Important Dates

May 12, 2012: Due date for full papers

June 5, 2012: Notification of acceptance