4 ms·
(I don't really agree with GP's point but for the sake of answering your question) 1. Collaborative filtering based on a sparse dataset of implicit interactio
by jstx1 4y ago
(I don't really agree with GP's point but for the sake of answering your question)
1. Collaborative filtering based on a sparse dataset of implicit interactions.
2. Many time series applications.
- marcyb5st 4y agoDidn't all recommendations engines move to two-towers like models? I remember that it "solved" the freshness problem (ie when adding a new item to your catalog how do you recommend it to users if there are no ratings/interactions). Of course as long as you have a good model that creates items embeddings. Regarding time series, don't everyone moved to attention based models? Not challenging your answer, just curious. I work mostly with Graph NNs and quite a bit out of touch with the rest of the field.