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I've found this package pretty easy to work with so far, with the exception of SearchRankParameters. In particular, I don't understand what paramK1 and paramB mean. I see them mentioned in The Probabilistic Relevance Framework: BM25 and Beyond section 3.4.5, Document Length, and I see section 3.5, Uses of BM25, has a few relevant bits:
setting b = 1 will perform full document-length normalisation, while b = 0 will switch normalisation off
A significant number of such experiments have been done, and suggest that in general values such as 0.5 < b < 0.8 and 1.2 < k1 < 2 are reasonably good in many circumstances
But I get from this no sense of what k1 means, and little guidance as to why I would want more or less document-length normalization for a particular field.
I don't think elaborate explanations in the documentation are necessary; a few hints would likely go a very long way.
The text was updated successfully, but these errors were encountered:
I've found this package pretty easy to work with so far, with the exception of
SearchRankParameters
. In particular, I don't understand whatparamK1
andparamB
mean. I see them mentioned in The Probabilistic Relevance Framework: BM25 and Beyond section 3.4.5, Document Length, and I see section 3.5, Uses of BM25, has a few relevant bits:But I get from this no sense of what k1 means, and little guidance as to why I would want more or less document-length normalization for a particular field.
I don't think elaborate explanations in the documentation are necessary; a few hints would likely go a very long way.
The text was updated successfully, but these errors were encountered: