olivierjeunen Goto Github PK

c-3po-recsys-2023

confounding-consequences-2023

Source code for our paper "Offline Recommender System Evaluation under Unobserved Confounding", presented at the CONSEQUENCES '23 workshop at RecSys.

decision-theory-www-2021

Materials for the "Recommender Systems through the lens of Decision Theory" tutorial delivered at the 30th Web Conference (WWW '21).

disentangling-neurips-2022

Source code for our paper "Disentangling Causal Effects from Sets of Interventions in the Presence of Unobserved Confounders" published at NeurIPS 2022.

dual-bandit-kdd-2020

Source code for our paper "Joint Policy-Value Learning for Recommendation" published at KDD 2020.

dynamic-easer

dynamicindex

C++ source code for the Dynamic Index algorithm proposed in "Efficient Similarity Computation for Collaborative Filtering in Dynamic Environments", as appeared in the proceedings of the 2019 ACM International Conference on Recommender Systems.

ears-recsys-2021

Source code for our paper "Top-K Contextual Bandits with Equity of Exposure" published at RecSys 2021.

ease-side-info-recsys-2020

Source code for our LBR paper "Closed-Form Models for Collaborative Filtering with Side-Information" published at RecSys 2020.

learnt-metrics-kdd-2024

Source code accompanying our paper "Learnt Metrics that Maximise Power for Accelerated A/B-tests" published at KDD 2024.

ndcg-disagreement

Source code for experiments highlighting that normalised DCG and DCG can lead to conflicting conclusions in offline experiments.

olivierjeunen.github.io

Source code for personal website.

pessimism-recsys-2021

Source code for our paper "Pessimistic Decision-Making for Recommender Systems" published at ACM TORS, and RecSys 2021.

pooled-data-experiments

sequential-skip-prediction

Source code for our approach to the 2019 WSDM Cup Spotify Sequential Skip Prediction Challenge