Back from Recsys 2024
Key highlights from RecSys 2024 including advances in matrix factorization, LLM integration, and the latest research from Netflix, Spotify, and GroupLens.
Read more →Recommender Systems
Recommendation algorithms, evaluation metrics, and personalization techniques
How Matrix Factorization Transforms User Feedbacks
A comprehensive overview of matrix factorization techniques for recommender systems, from SVD to deep learning approaches, with practical implementation tips.
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Features and Design Principles of a Recommender System
A comprehensive guide to designing recommender systems in 2024, covering core features, design principles, and practical implementation strategies.
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Back from Recsys 2023
Comprehensive recap of RecSys 2023 covering industry practices, reproducibility research, new datasets, transformers in recommendations, and practical insights from Netflix, BBC, and Pinterest.
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Fallbacks and Serving Rules - The Underestimated Pillars of Recommender System Success
Explore fallback strategies and serving rules in recommender systems. Learn how these underestimated pillars ensure reliable predictions in production environments.
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Back from Recsys 2022
Hello, this is autumn and who says autumn says Recsys time, and this year Seattle was the place to be. I attended digitally to the...
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Collaborative filtering and two stage recommender system with Surprise
Explore Surprise, a Python scikit package for building recommender systems on explicit ratings. Learn collaborative filtering and two-stage recommender implementations.
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Takeaways from RecSys 2021
Once again, I attended (virtually) this year with some of my colleagues at RecSys 2021 in Amsterdam. In this article, I will recap exciting papers...
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Evaluation of recommender systems (metrics and baseline models)
I focused on this topic for the past three years at Ubisoft, but I never found suitable datasets to use for experiments on my blog...
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Feedback and discoveries on RecSys 2020
In this article, there will be a description on the Recsys conference that happened in September 2020 virtually (Thanks Ubisoft to have offer me the...
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Initiation to graph database with neo4j and Beat Saber
In this article, there will be an introduction to the Neo4j graph database, leverage the technology for analytics and recommendation purposes.
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