'Content recommendation system without deep learning
I am exploring the field of recommendation systems and all I can find are techniques utilizing deep learning. I would not like to work in the area of deep learning. Thus, are there other approaches to content recommendation systems other than deep learning? Or should I change the topic if I don't like deep learning? I would also like to work on graphs in the recommendation system but for content and not collaborative-based recommendations. Any resources are useful.
Solution 1:[1]
Deep Learning architeture perform very well on many real time use cases, like your own problem recomendation saystem.
If you cited problems clearly, then i suggest some archetectecture, by default you go with "sequential based archetecture like LSTM, GRU and Transformer. Netflix Recommender system
Sources
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Source: Stack Overflow
| Solution | Source |
|---|---|
| Solution 1 | Meraz |