This repository contains my summaries of various academic papers I have read.
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Updated
Mar 16, 2023
This repository contains my summaries of various academic papers I have read.
[Neurocomputing 2019] Code for "A Hierarchical Contextual Attention-based Network for Sequential Recommendation"
Wolfram Language (aka Mathematica) paclet with functions for creation and manipulation of tries (prefix trees) with frequencies.
Repository for implementation of Recsys papers
Mindspore Implementation of CIKM 2022 Paper "Disentangling Past-Future Modeling in Sequential Recommendation via Dual Networks"
【KBS】Modeling and Predicting User Preferences with Multiple Item Attributes for Sequential Recommendations
This is the code for "Improving diversity and precision in sequential recommendation via RL"
Official source code for AAAI 2023 paper: Uniform Sequence Better: Time Interval Aware Data Augmentation for Sequential Recommendation. AAAI, 2023.
A implementation in Scala of CF, Content Based, Sequential and hybrid recommender systems for Spark
Master's thesis : Exploiting Latent Interaction Information for Session-Aware Recommendation Using Recurrent Neural Networks ( Recommendation System / Tensorflow / Python )
[TKDE 2018] Code for "MV-RNN: A Multi-View Recurrent Neural Network for Sequential Recommendation"
SOTA models for sequential recommendation
✨ The Tensorflow implementation for the IEEE Access paper: "ARERec: Attentive Local Interaction Model for Sequential Recommendation".
A large-scale datasets for session-based recommendation and sequential recommendation
Pytorch implementation of GeoSAN (Geography-Aware Sequential Location Recommendation. KDD 2021)
A Comparative Evaluation of Active Learning Methods in Deep Recommendation
[arXiv'24] The official implementation code of LLM-ESR.
A configurable Transformer-based model for clickstream data
[SIGIR'2024] "SelfGNN: Self-Supervised Graph Neural Networks for Sequential Recommendation"
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