Integrated Impacts for Web Retrieval
Vo Ngoc Anh
Department of Computer Science and Software Engineering,
The University of Melbourne,
Victoria 3010, Australia.
Alistair Moffat
Department of Computer Science and Software Engineering,
The University of Melbourne,
Victoria 3010, Australia.
Status
Proc. Australian Document Computing Symposium,
Canberra, December 15, 2003, pages 25-30.
Abstract
Traditional approaches to information retrieval calculate similarity
scores based entirely upon the words and phrases present in the
various items of text being manipulated.
In the web retrieval domain additional sources of information are
available, and can be used to guide answer selection.
However, the web domain is also more complex, in that there are a
range of tasks that might be performed, and no clear indication as to
which task or tasks the user may have had in mind when they issued
their query.
In this paper, we continue to explore the use of impact-based
retrieval, using a simple heuristic for assessing the importance of
each term in a document.
We extend our previous results to the web domain, and consider how
best to address the named/home page finding task, and the topic
distillation task, within the confines of a single retrieval system.