Open ZhiminHeGit opened 7 years ago
I think there are two parts to this.
The first is a bit more complex as a new external and internal API would need to be defined to handle item recommendations as opposed to user recommendations.
However, the second is actually probably easier as there are already item similarity examples. See, http://docs.seldon.io/content-recommendation-example.html
The python code already supports several types of similarity models : gensim_lsi,gensim_lda,gensim_rp,sklearn_nmf
So as a hack you could always build an above document similarity model and serve recommendations by sending in the item_id with any user_id (as it will be ignored)
https://docs.seldon.io/en/latest/content-recommendation-example.html this link is not active @cliveseldon many docs link are invalid
@pnutmath This project is now deprecated.
Okay thanks for response :) , let's archived it!
Can you suggested me where I can start with seldom for recommendation engine?
At Seldon we focus on general ML deployment so you can look at https://github.com/SeldonIO/seldon-core but the model you want to deploy is up to you. We do have many people using it for recommendations though.
Thanks @cliveseldon
is it possible to have a RESTFUL api end point that returns a list of items based on one item? e.g GET /items/{item_id}/recommendations thank you