: Essentially what I am trying to do is boost every document by a certain
: factor, so that
: the boost is between 1.0 and 2.0. After this, I we are trying to do a search
: across multiple fields
: and have a computation based purely on tf. Example -
it sounds like you are trying to place too muc
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: Thanks Hoss. Suppose, I go ahead and modify Similarity.java from
...
: Should this work ?
it depends on your definition of "work" ... if that code is what you want
it to do, then yes: it will do what you want it to do.
: P.S. This is a very custom implementation. For the specific probl
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: I want to modify the norms to only include values between 0 and 100.
: Currently, I have a custom implementation of the default similarity. Is it
: sufficient to override the encodeNorm and decodeNorm methods from the base
: implementation in my custom Similarity class ? Please let me know if th
any performance implications to this.
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