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Some Experiments with Blind Feedback and Re-ranking for Chinese Information Retrieval
BibTeX
@MISC{_someexperiments,
author = {},
title = {Some Experiments with Blind Feedback and Re-ranking for Chinese Information Retrieval},
year = {}
}
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Abstract
In our formal runs, we have experimented with hybrid-term indexing and bigram indexing because hybrid-term indexing is a more distinct type of indexing strategy for better pooling and because bigram indexing usually gives robust (near) good results. We have also used our pseudo-relevance feedback (PRF) methods. In the informal runs, we have experimented with our previous re-ranking strategy, called title re-ranking. This strategy rewards documents which title terms match with the terms in the title query. Title re-ranking is able to improve the effectiveness performance for both short and long queries when bigram indexing is used. For formal runs, our best relax MAP achieved was 36% and 51 % using PRF, for title queries and long queries respectively. For informal runs, our best relax MAP achieved was 43 % for title queries and 50 % for long queries using both PRF and merging retrieval lists.
