Noa Tuval

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Publications

Cahiers du GERAD

août 2023

G-2023-35
Estimating serendipity in content-based recommender systems

Noa Tuval, Alain Hertz et Tsvika Kuflik

Recommender systems provide personalized recommendations to their users for items and services. They do that using a model that is tailored to each user to i...

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déc. 2022

G-2022-55
Addressing the cold start problem in privacy preserving content-based recommender systems using hypercube graphs

Noa Tuval, Alain Hertz et Tsvika Kuflik

Recommender systems provide recommendations to their users for items and services by creating a model tailored to each user to infer their preferences based ...

référence BibTeX

Articles

sept. 2021

Resolving sets and integer programs for recommender systems

Alain Hertz, Tsvika Kuflik et Noa Tuval

Journal of Global Optimization, 81(1), 153–178, 2021 référence BibTeX

Actes de conférence

sept. 2024

A Roadmap for Privacy Preserving Tourist Recommendation Systems

Alan Wecker, Noa Tuval, Alain Hertz et Mohammad Mahamid

RecTour 2024 Recommenders in Tourism 2024, Proceedings of the Workshop on Recommenders in Tourism co-located with the 18th ACM Conference on Recommender Systems (RecSys 2024), 68–73, 2024 référence BibTeX

juin 2019

Exploring the Potential of the Resolving Sets Model for Introducing Serendipity to Recommender Systems

Noa Tuval, Tsvika Kuflik et Alain Hertz

UMAP '19: Proceedings of the 27th ACM Conference on User Modeling, Adaptation and Personalization, Larnaca, Cyprus, 353–356, 2019 référence BibTeX