Paper resources for Neural Network based content filtering

Course Q&A Machine Learning Specialization Unsupervised Learning, Recommenders, Reinforcement
1

Are there any links to recommended research (papers, articles, etc.) for content based filtering leveraging neural networks?

2

There are many results if we google “content based filtering neural network” or search particularly in google scholar. This one, for example, looks like a review and was cited quite a number of times.

3

Hi!

Here is a repo with many Recommendation System Papers. You might be interested in the Deep Learning section.

Also I’m part of a public discord group for MLOps run by Chip Huyen that has a RecSys section and really nice people to answer questions specifically about Recommendation Systems.

Check them out here! MLOps (@chipro)

4

thanks you have a well curated list here. I will check out the discord and ask additional questions there.

5

thanks I looked up some papers on my own as well (meta/facebook has some interesting recent ones) but was curious about the particular approach demonstrated in the course.

For example theory around the dot product of embedding vs concatenating them into a ‘final network’. Or vs learning embedding separately then concatenating into a vector. I am sure all of this has been tried or has a theoretical issue which is why I was curious for any resources around the method shown in the lecture.

6

@gennt, I see. I was not in the process of deciding which approach to adopt for the lab. We will have to wait for someone who knows about it.