Nature

Recommender Systems and Attack Detection

Recommender systems form an integral component of modern digital platforms, providing personalised suggestions by filtering through vast amounts of data. These systems largely rely on collaborative ...
Mid-Day

Gautam Sikka: Redefining the Future of Recommendation Systems with Responsible AI

AI leader Gautam Sikka advances ethical, scalable recommendation systems at Meta and Google, blending technical mastery with ...
Miami University

A machine learning recommender system to tailor preference assessments to enhance person ...

Nursing homes (NHs) using the Preferences for Everyday Living Inventory (PELI-NH) to assess important preferences and provide person-centered care find the number of items to be a barrier to using the ...
Helsinki

Yang Liu defends her PhD thesis on Methodological and Extrinsic Challenges in Offline ...

On the 11th of August 2025, M.Sc. Yang Liu defends her PhD thesis on Methodological and Extrinsic Challenges in Offline Evaluation of Recommender Systems. The thesis is related to research done in the ...