: 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
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 -
if (field1)
tf = some function
else if (field2)
tf =
: 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
Thanks Hoss. Suppose, I go ahead and modify Similarity.java from
static {
for (int i = 0; i < 256; i++)
NORM_TABLE[i] = SmallFloat.byte315ToFloat((byte)i);
}
TO
static {
for (int i = 0; i < 256; i++)
NORM_TABLE[i] = (float) i * 100.0 /256.0;
}
Should this work ?
Thanks
: 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
