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 for recommendations and generative retrieval. Inspired by STATIC decoding from "Vectorizing the Trie"
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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