Recommender Systems

March 30, 2023: How Information Flows: From Field Studies to Risk Mitigation
November 27, 2022: Fluid People and Blended Society: How Systems Model "Dividuals"
October 14, 2022: Ethics in Recommendation Pipeline—A First Look at RecSys 2022 Papers
August 6, 2022: Recommendation.jl Came Back to #JuliaCon 2022
May 15, 2022: Am I Zombie? Autonomy vs. Recommendations on the Internet
May 7, 2022: What I Like About Microsoft Recommenders Repository
April 3, 2022: Cross Validation for Recommender Systems in Julia
March 6, 2022: Serendipity: It's Relevant AND Unexpected
February 27, 2022: Recommender Diversity is NOT Inversion of Similarity
January 16, 2022: "Diversity" Means More Than What We Typically Think
January 8, 2022: Recommendation.jl v0.4.0: Working with Missing Values, Data Typing, and Factorization Machines
November 24, 2021: How Can Recommender Systems Contribute to Mitigate Echo Chambers and Filter Bubbles?
October 5, 2021: User-Centricity Matters: My Reading List from RecSys 2021
July 15, 2021: Reviewing Ethical Challenges in Recommender Systems
July 26, 2019: Lightning Talk about Recommender Systems in Julia at #JuliaCon 2019
March 31, 2019: Publishing My Master's Thesis with Documenter.jl
January 14, 2019: Feeding User-Item Interactions to Python-Based Streaming Recommendation Engine via Faust
November 11, 2017: Understanding Research Trends in Recommender Systems from Word Cloud
January 21, 2017: FluRS: A Python Library for Online Item Recommendation
January 14, 2017: Recommendation.jl: Building Recommender Systems in Julia