Method of calculating similarity

[greyovo]

I checked out class PhotoSearcherModel and class PhotoSearcher, and found that when calculating similarity, you end up using spherical_dist_loss, which contradicts the introduction of "Calculating cosine similarity" in the README diagram. I am a little confused and wonder if you could give some insight about that. :)

Thanks in advance.

[mazzzystar]

@greyovo You can find that in the code I've implemented both cosine sim and shperical dist, I tested with a few keywords and found the later ranking seems to be better, this happens in two ways:

• In some cases, the ranking based on spherical distance is more reasonable.
• The value distribution of cosine similarity is more dense, meaning that the differences in cosine values between different photos are smaller than those in spherical distance, which makes me worry about a higher degree of uncertainty.

[greyovo]

I see. Thanks for the reply.