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EATosin/
NextClick-SASRec-MovieLens

Architecture: SASRec (Self-Attentive Sequential Recommendation).
Embedding Size: 64.
Max Sequence Length: 50.
Dataset: MovieLens 1M (filtered for sessions &gt; 5 interactions).

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library_name: pytorch tags:

NextClick: SASRec Model trained on MovieLens 1M 🎬

This is the pre-trained PyTorch model for NextClick, a sequential recommendation engine.

python

import torch
# Load Architecture code first (See GitHub), then:
model.load_state_dict(torch.load("sasrec_model.pth"))
model.eval()

For the training code and architecture definition, visit: https://github.com/eatosin/NextClick-RecSys-Engine