An Awesome Collection for Sequential Recommendation and Sequence Modeling in Recommend System
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Updated
Nov 19, 2023
An Awesome Collection for Sequential Recommendation and Sequence Modeling in Recommend System
[Pytorch] Efficient tokenization library for recommendations and generative retrieval using pre-trained language models. Inspired by "Vectorizing the Trie: Efficient Constrained Decoding for LLM-based Generative Retrieval on Accelerators"
A Curated List of Must-read Papers on Recommender System.
Recommender system that learns reading taste from pairwise paper comparisons. Built with SPECTER2 embeddings, BERTopic, and logistic regression on topic difference vectors. Orchestrated on Kubernetes via Kubeflow Pipelines.
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