embedding-based item nearest neighborhoods extraction
Project description
DeepNeighbor
DeepNeighbor is a Easy-to-use,Modular and Extendible package of deep-learning based models along with lots of core components layers which can be used to easily build custom models.You can use any complex model with
model.train()，which generates embeddings for users and items (Deep),
and model.search(), which looks for Approximate nearest neighbor for seed user/item (Neighbor) .
from deepneighbor.embed import Embed
model = Embed(data)
model.train()
model.search(seed = 'Louis', k=10)
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