nzhinusoftcm / review-on-collaborative-filtering
This repository presents a comprehensive implementation of collaborative filtering recommender systems.
☆27Updated 3 years ago
Alternatives and similar repositories for review-on-collaborative-filtering:
Users that are interested in review-on-collaborative-filtering are comparing it to the libraries listed below
- Repo for paper Basket Recommendation with Multi-Intent Translation Graph Neural Network☆16Updated 3 years ago
- Implementation of variational autoencoders for collaborative filtering in PyTorch☆25Updated 5 years ago
- Semantics-Aware Autoencoder Neural Network☆16Updated 5 years ago
- Tutorial for Multi-Stakeholder Recommender Systems☆22Updated 3 years ago
- Collaborative Translational Metric Learning (ICDM 2018)☆17Updated 3 years ago
- [Official Codes] Experiments on Generalizability of User-Oriented Fairness in Recommender Systems (SIGIR 2022)☆32Updated 2 years ago
- This repository contains the code used to run generate the data splits, run the hyperparameter tunings, and export the results presented …☆12Updated 2 years ago
- Post Processing Explanations Paths in Path Reasoning Recommender Systems with Knowledge Graphs☆31Updated last year
- Code for "Sequential Recommendation for Cold-start Users with Meta Transitional Learning" (SIGIR2021)☆21Updated 3 years ago
- Benchmarking of Session-based Recommendation Approaches☆30Updated 4 years ago
- In this project, we will revisit the problem central to recommender systems: predicting a user’s preference for some item they have not y…☆25Updated 7 years ago
- Code for the SIGIR20 paper -- Recommendation for New Users and New Items via Randomized Training and Mixture-of-Experts Transformation☆42Updated 4 years ago
- (GraphRec) Attribute-aware non-linear co-embeddings of graph features, RecSys 2019☆12Updated 4 years ago
- Presented as tutorial at the Second Learning on Graphs Conference (LoG 2023)☆17Updated last year
- RecSys 2022 Tutorial Hands on Explainable Recommender Systems with Knowledge Graphs☆50Updated last year
- [ WSDM '22 ] On Sampling Collaborative Filtering Datasets☆20Updated 3 years ago
- A curated list of awesome graph & self-supervised-learning-based recommendation.☆48Updated 3 years ago
- yuan-pku / Distilling-Structured-Knowledge-into-Embeddings-for-Explainable-and-Accurate-Recommendation☆15Updated 5 years ago
- [ WSDM '19 ] Sequential Variational Autoencoders for Collaborative Filtering☆41Updated 3 years ago
- Code for the WWW'22 paper "MCL: Mixed-Centric Loss for Collaborative Filtering"☆12Updated 3 years ago
- Fusing Similarity Models with Markov Chains for Sparse Sequential Recommendation in R and Python☆15Updated 7 years ago
- Official codes of paper "Deep causal reasoning for recommendations (Deep-Deconf)". (TIST'23)☆26Updated 2 years ago
- A link to repositories with datasets useful for recommendation tasks☆19Updated last year
- Official code of "Incorporating Bias-aware Margins into Contrastive Loss for Collaborative Filtering" (2022 NeurIPS)☆22Updated last year
- Tutorial by Vito Walter Anelli, Yashar Deldjoo, Tommaso Di Noia and Felice Antonio Merra about Adversarial Machine Learning in Recommende…☆25Updated 3 years ago
- This repository contains python (using Keras) code implementing variational autoencoders for collaborative filtering on movielens and spo…☆35Updated 3 years ago
- Code to reproduce paper "Exploring Longitudinal Effects of Session-based Recommendations" in RecSys 2020☆15Updated 2 years ago
- Context and Attribute-Aware Sequential Recommendation via Cross-Attention, RecSys 2022☆66Updated last year
- Code for the paper "Bilateral Variational Autoencoder for Collaborative Filtering", WSDM'21☆34Updated last year
- data and source code for "Addressing Marketing Bias in Product Recommendations" WSDM'20☆41Updated 4 years ago