CODEWITHSUNDEEP
rankingazure-cognitive-search
77Vetter
77Vetter

Reputation: 269

Azure Search Scoring Profile Magnitude by Downloads

I am new to Azure Search so I just want to run this by before I try to implement it. We have a search setup on items and we want to score/rank the results based on its initial score and how many times the item has been used/downloaded. We want the items downloaded the most to appear at the top of the result list.

We have a separate field in the search index that contains the used/download count (itemCount).

I know I have to set up a Magnitude profile but I am not sure what to use for the range as the itemCount can contain 0 - N So do I just set the range to be some large number i.e. 100,000,000 or what is the best practice?

var functionRankByDownload = new MagnitudeFunction()
{
    Boost = 1000,
    BoostingRangeStart = 0,
    BoostingRangeEnd = 100000000,
    ConstantBoostBeyondRange = true,
    FieldName = "itemCount",
    Interpolation = InterpolationTypes.Linear
};
scoringProfile1.Functions = new List() { functionRankByDownload };

I found the score calculation is as follows:

((initialScore * boost * itemCount) - min) / (max-min)

So it seems like it should work ok having a large value for the max but again just wanting to know the best practice.

Thanks!

Upvotes: 0

Views: 245

Answers (1)

Ishan Srivastava
Ishan Srivastava

Reputation: 620

That seems reasonable. The BoostingRangeEnd can be any reasonable bound to your range depending on the scenario. Since, you are using ConstantBoostBeyondRange, it would also take care of boosting values outside ranges appropriately.

You might also want to experiment with the boost value for a large range like this and see if a bigger boost value is more helpful for your scenario.

Upvotes: 1

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