A newly interpreted code of C++ project `SMORe`, which developed in Python to enhance the usage-flexibility and migration-potential.
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Updated
Jun 29, 2021 - Python
A newly interpreted code of C++ project `SMORe`, which developed in Python to enhance the usage-flexibility and migration-potential.
BSI-PT algorithm in the paper "Opponent Exploitation Based on Bayesian Strategy Inference and Policy Tracking"
Recommender System wrapped with a Binary Classifier
🐝 Materials and homework assignments for HSE recommender systems course
基于 pytorch 复现了 Causal Intervention for Leveraging Popularity Bias in Recommendation 中的提到的 Popularity-bias Deconfounding (PD) 和 Popularity-bias Deconfounding and Adjusting (PDA) 方法
Tensorflow implementation of PRIS (Personalized Ranking with Importance Sampling. WWW 2020)
Bayesian Personalized Ranking is a learning algorithm for collaborative filtering first introduced in: BPR: Bayesian Personalized Ranking from Implicit Feedback. Steffen Rendle, Christoph Freudenthaler, Zeno Gantner and Lars Schmidt-Thieme, Proc. UAI 2009.
✏Study Recommender System
A personality-aware group recommendation system based on pairwise preferences
Set of music recommendation algorithms we implemented to join the annual RecSys Competition at Politecnico di Milano in 2017.
Predicting missing pairwise preferences from similarity features in group decision making and group recommendation system
Intern project to implement recommender demos for implicit feedback transaction data.
This repository contains the code for the paper "A Methodology for the Offline Evaluation of RecommenderSystems in a User Interface with Multiple Carousels", published at UMAP Late-Breaking Results 2021.
Unofficial Implementation of BPRH: Bayesian personalized ranking for heterogeneous implicit feedback
Set of recommender systems
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