Recommender Systems

2023-03-30: How Information Flows: From Field Studies to Risk Mitigation
2022-11-27: Fluid People and Blended Society: How Systems Model "Dividuals"
2022-10-14: Ethics in Recommendation Pipeline—A First Look at RecSys 2022 Papers
2022-08-06: Recommendation.jl Came Back to #JuliaCon 2022
2022-05-15: Am I Zombie? Autonomy vs. Recommendations on the Internet
2022-05-07: What I Like About Microsoft Recommenders Repository
2022-04-03: Cross Validation for Recommender Systems in Julia
2022-03-06: Serendipity: It's Relevant AND Unexpected
2022-02-27: Recommender Diversity is NOT Inversion of Similarity
2022-01-16: "Diversity" Means More Than What We Typically Think
2022-01-08: Recommendation.jl v0.4.0: Working with Missing Values, Data Typing, and Factorization Machines
2021-11-24: How Can Recommender Systems Contribute to Mitigate Echo Chambers and Filter Bubbles?
2021-10-05: User-Centricity Matters: My Reading List from RecSys 2021
2021-07-15: Reviewing Ethical Challenges in Recommender Systems
2019-07-26: Lightning Talk about Recommender Systems in Julia at #JuliaCon 2019
2019-03-31: Publishing My Master's Thesis with Documenter.jl
2019-01-14: Feeding User-Item Interactions to Python-Based Streaming Recommendation Engine via Faust
2017-11-11: Understanding Research Trends in Recommender Systems from Word Cloud
2017-01-21: FluRS: A Python Library for Online Item Recommendation
2017-01-14: Recommendation.jl: Building Recommender Systems in Julia