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Featured

Param Raval
 | 
December 19, 2024

Improving Recommendations by Calibrating for User Interests

All Blogs

Blogs

Heorhii Skovorodnikov
 | 
June 16, 2023

LLMs - a paradigm shift in RecSys?

AI/ML
LLMs
Daniel Oliver Belando
 | 
June 1, 2023

How synthetic data is used to train machine-learning models

Data
AI/ML
Technology
Daniel Oliver Belando
 | 
May 9, 2023

Explainable AI

Data
AI/ML
Heorhii Skovorodnikov
 | 
May 8, 2023

Not your average RecSys metrics Part 2: Novelty

Data
Personalization
AI/ML
Product
Learn
Heorhii Skovorodnikov
 | 
April 28, 2023

Not your average RecSys metrics. Part 1: Serendipity

AI/ML
Data
Learn
Personalization
Tutorial
Daniel Camilleri
 | 
April 25, 2023

Part 1: How much data do I need for a recommendation system?

AI/ML
Data
Personalization
Tutorial
Jaime Ferrando Huertas
 | 
March 31, 2023

X's Open Source Algorithm - Unveiling the code, but not the secrets

AI/ML
Technology
Personalization
Robert Lucian Chiriac
 | 
March 29, 2023

MovieLens to Production in Minutes

Data
Tutorial
Personalization
Learn
Heorhii Skovorodnikov
 | 
March 28, 2023

Evaluating recommendation systems (ROC, AUC, and Precision-Recall)

Data
Learn
Tutorial
AI/ML
Personalization
Tullie Murrell
 | 
March 22, 2023

Shaped 1.0: The fastest way to personalize your product, platform or marketplace

Company
Product
Jaime Ferrando Huertas
 | 
March 14, 2023

GPT-4: A New Milestone in Scaling Up Deep Learning

LLMs
Technology
Jaime Ferrando Huertas
 | 
March 7, 2023

Size Isn't Everything - How LLaMA democratizes access to Large-Language-Models

LLMs
Technology