nihalsangeeth/behaviour-seq-transformer
Pytorch implementation of "Behaviour Sequence Transformer for E-commerce Recommendation" as a seq2seq predictor.
This helps e-commerce platforms predict the next item a customer is likely to interact with based on their past behavior sequence. You feed in a customer's history of viewed or purchased items, and it outputs a prediction of what they might engage with next. This is for product managers, merchandisers, or data scientists working on personalization and recommendation systems in online retail.
No commits in the last 6 months.
Use this if you need to build a recommendation engine that suggests the very next item a user will engage with, rather than just predicting a click-through rate.
Not ideal if your primary goal is to predict the likelihood of a user clicking on a specific item (Click-Through Rate prediction) rather than predicting the actual next item in a sequence.
Stars
23
Forks
9
Language
Python
License
MIT
Category
Last pushed
Aug 25, 2021
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/transformers/nihalsangeeth/behaviour-seq-transformer"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
lucidrains/x-transformers
A concise but complete full-attention transformer with a set of promising experimental features...
kanishkamisra/minicons
Utility for behavioral and representational analyses of Language Models
lucidrains/simple-hierarchical-transformer
Experiments around a simple idea for inducing multiple hierarchical predictive model within a GPT
lucidrains/dreamer4
Implementation of Danijar's latest iteration for his Dreamer line of work
Nicolepcx/Transformers-in-Action
This is the corresponding code for the book Transformers in Action