Waiting for an explanation for my query. Thank you very much.

On Tue, Dec 20, 2016 at 10:51 PM, Dwaipayan Roy <

[hidden email]>

wrote:

> Hello,

>

> Can anyone help me understand the scoring function in the

> LMJelinekMercerSimilarity class?

>

> The scoring function in LMJelinekMercerSimilarity is shown below:

> --------------------------------------------------------

> float score = stats.getTotalBoost() *

> (float)Math.log(1 + ((1 - lambda) * freq / docLen) / (lambda *

> ((LMStats)stats).getCollectionProbability()));

> --------------------------------------------------------

>

> Can anyone help explain the equation? I can understand the scoring effect

> when calculating the stat in the document, i.e.: (1 - lambda) * freq /

> docLen).

>

> I hope getCollectionProbability() returns col_freq(t) / col_size. Am I

> right?

>

> Also the boosting part is not clear to me (stats.getTotalBoost()).

>

> I want to reproduce the result of the scoring using LM-JM. Hence I want

> the details.

>

> Thanks.

> Dwaipayan Roy..

>

--

Dwaipayan Roy.