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Recohut

Library for Recommender Systems

recohut's Projects

nni icon nni

Neural Network Intelligence | AutoML & AutoDL

ope-rec icon ope-rec

Off-policy evaluation in recommender systems

pepler icon pepler

Personalized Prompt Learning for Explainable Recommendation

personalization-apis icon personalization-apis

Real-time low latency API framework that sits between your applications and recommender systems such as Amazon Personalize

private-recsys icon private-recsys

Code for "Private Recommender Systems: How Can Users Build Their Own Fair Recommender Systems without Log Data?" (SDM 2022)

recgfi icon recgfi

Repository for ICSE'22 paper ""Recommending GoodFirst Issues in GitHub OSS Projects"

recsysevaluation icon recsysevaluation

Code and Results for the paper: A Revisiting Study of Appropriate Offline Evaluation for Top-𝑁 Recommendation Algorithms.

rl4rs icon rl4rs

A Real-World Benchmark for Reinforcement Learning based Recommender System

s021355 icon s021355

Building 15 Matching and Ranking Recommendation Models from scratch in Tensorflow

s035564 icon s035564

Equal Experience in Recommender Systems

s063707 icon s063707

Learning Robust Recommender from Noisy Implicit Feedback

s168471 icon s168471

GroupIM: A Mutual Information Maximization Framework for Neural Group Recommendation

s181315 icon s181315

Session-aware Linear Item-Item Models for Session-based Recommendation

s241566 icon s241566

Debiased Explainable Pairwise Ranking from Implicit Feedback

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