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SplitLight
SplitLight PublicAn Exploratory Toolkit for Recommender Systems Datasets and Splits
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time-to-split
time-to-split PublicTime to Split: Exploring Data Splitting Strategies for Offline Evaluation of Sequential Recommenders (RecSys'25)
Python 19
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sb-ai-lab/RePlay
sb-ai-lab/RePlay PublicA Comprehensive Framework for Building End-to-End Recommendation Systems with State-of-the-Art Models
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shashist/recsys-course
shashist/recsys-course PublicRecommender Systems course for MIPT IDA 4th-year students
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dalibra/autoregressive-generation-strategies-longterm-seqrec
dalibra/autoregressive-generation-strategies-longterm-seqrec PublicThis repository contains code for the paper ''Autoregressive Generation Strategies for Top-K Sequential Recommendations''
Jupyter Notebook 3
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