#StackBounty: #machine-learning #discriminant-analysis #recommender-system #autoencoders Recommender Systems: is it really needed one n…

Bounty: 100

I have been researching on how to apply neural networks to recommender systems and have come across this paper where they model it with an auto-encoder.

So far so good, but then they proceed by stating that each training sample will be provided to its own neural network(auto-encoder) and I see no advantages on using this approach besides being able to distribute the load of the training stage over a network, yet, they do not ever mention this guess of mine!

Is this point relevant at all for successfully training the network or am I missing something?

Get this bounty!!!

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