An Artificial Intelligence Approach To Information Retrieval
نویسنده
چکیده
Document structure weighting is a technique whereby different parts of a document (title, abstract, etc.) contribute unevenly to the overall document weight during ranking. Near optimal weights can be learned with a GA. Doing so shows a statistically significant 5% relative improvement in MAP for vector space inner product and Croft’s probabilistic ranking, but no improvement for BM25. Two applications of this approach are suggested: offline learning, and relevance feedback.
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