Recommender Systems Optimization Goals

Data Skeptic by Kyle Polich

Sep 1, 202631:15Religion & Spirituality

In part two of the Data Skeptic Recommender Systems season finale, Kyle asks a deceptively difficult question: what should recommender systems actually optimize for? Drawing on conversations from across the season, the e...

Related Episodes

Continue listening to more episodes from Data Skeptic.

Recommender Systems Today and Tomorrow

Sep 9, 2026 - 22:46

In the final episode of our Recommender Systems season, we explore the growing questions of trust, manipu...

Recommender Systems Origin Story

Aug 18, 2026 - 25:32

Where did recommender systems come from, and how do we know when they're actually working? In part one of...

Social Choice for Fair Recommendations

Jul 27, 2026 - 42:56

Recommender systems influence nearly every aspect of our digital lives—but what does it mean for those sy...

News Recommendations

Jul 2, 2026 - 46:06

News recommendation algorithms influence far more than what stories we click—they can shape our understan...

Give Users the Wheel

Jun 23, 2026 - 35:28

What if you could simply tell a recommendation system what you want instead of relying on likes, dislikes...

AutoLike

Jun 17, 2026 - 35:18

How can researchers audit recommendation systems when the algorithms are hidden from view? Hieu Le joins...

Student Spotlight: Aaron Payne, Data Analyst

May 1, 2026 - 25:59

Aaron Payne, an MBA student at Georgia Tech studying business analytics and a Senior Insights Analyst at...

The Future is Agentic in Recommender Systems

Apr 25, 2026 - 49:25

Kyle Polich sits down with Yashar Deldjoo, research scientist and Associate Professor at the Polytechnic...