[MINI] k-d trees

What if you could simply tell a recommendation system what you want instead of relying on likes, dislikes, and watch history? Kyle Polich talks with Fuyuan Lyu about the DPR framework, which combines large language models and traditional recommender systems to give users direct c ...  Show more

How can researchers audit recommendation systems when the algorithms are hidden from view? Hieu Le joins Kyle Polich to discuss Auto-Like, a reinforcement learning framework that systematically explores how platforms like TikTok personalize content feeds. The conversation covers ...  Show more

In this episode of the backend engineering show I'll discuss the difference between b-tree and b+tree why they were invented, what problems do they solve, and the advantages and disadvantages of both. I'll also discuss the limitation of implementing b-tree over b+t ...

Howard Chu, CTO of Symas Corp and chief architect of the OpenLDAP project, discusses the key features of B+Tree Data Structures which make it the default selection for efficient and predictable storage of sorted data. 

Today we're going to discuss the binary heap data structure. In this episode, you'll learn where to use heaps in practice, how they can come handy to you during a coding interview, and how to implement them! Along the way, we'll cover heap sort, priority queues, load balancing, a ...  Show more

Trees pull and store carbon, but lots of land that could support them is deforested. Learn how researchers think planting trees could help mitigate climate change in this episode of BrainStuff. Learn more about your ad-choices at https://www.iheartpodcastnetwork.comSee omnystudio ...  Show more