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TREC
2001

Machine Learning Approach for Homepage Finding Task

8 years 10 months ago
Machine Learning Approach for Homepage Finding Task
This paper describes new machine learning approaches to predict the correct homepage in response to a user's homepage finding query. This involves two phases. In the first phase, a decision tree is generated to predict whether a URL is a homepage URL or not. The decision tree then is used to filter out non-homepages from the webpages returned by a standard vector space IR system. In the second phase, a logistic regression analysis is used to combine multiple sources of evidence on the remaining webpages to predict which homepage is most relevant to a user's query. 100 queries are used to train the logistic regression model and another 145 testing queries are used to evaluate the model derived. Our results show that about 84% of the testing queries had the correct homepage returned within the top 10 pages. This shows that our machine learning approaches are effective since without any machine learning approaches, only 59% of the testing queries had their correct answers retur...
Wensi Xi, Edward A. Fox
Added 31 Oct 2010
Updated 31 Oct 2010
Type Conference
Year 2001
Where TREC
Authors Wensi Xi, Edward A. Fox
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