Homepage Finding and Topic Distillation using a Common Retrieval Strategy (2002)
| Venue: | In Proceedings of TREC-11 |
| Citations: | 2 - 0 self |
BibTeX
@INPROCEEDINGS{Anh02homepagefinding,
author = {Vo Ngoc Anh and Alistair Moffat},
title = {Homepage Finding and Topic Distillation using a Common Retrieval Strategy},
booktitle = {In Proceedings of TREC-11},
year = {2002},
pages = {79--85}
}
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Abstract
For the TREC-2002 web track the University of Melbourne experimented with a system designed primarily for topic relevance tasks, and applied it directly to the homepage finding and topic distillation tasks. Our intention was to process queries regardless of their classification, as discriminating information may be unavailable in practice. An integer-valued weighting scheme reported in earlier work was employed, modified to take into account anchor text and many of the metadata fields, but not the URL text, and not the link structure information. Our experiments were carried out using a distributed retrieval system, with data spread across a sixteen node cluster. Indexing and query processing is fast, and the total index size is small.
Keyphrases
homepage finding topic distillation common retrieval strategy topic relevance task link structure information topic distillation task account anchor text retrieval system url text metadata field data spread trec-2002 web track integer-valued weighting scheme sixteen node cluster total index size query processing
