#recommender-systems

Measuring the Impact of Personalized Recommendations

By Kevin Zielnicki, Guy Aridor, Aurélien Bibaut, Allen Tran, Winston Chou, and Nathan Kallus

Actionable Recommendations for Market Managers: The Push-List Approach

Every morning, thousands of udaan Market Managers step into India’s vibrant, chaotic markets carrying a simple but heavy responsibility: to…

Conociendo la librería Surprise en Python: una introducción práctica a los sistemas de…

Introducción

Recommender Systems

Recommender Systems or Ranking Systems: How Platforms Know Exactly What You Want ?

Building a Knowledge Graph Recommender on Medium Articles

A Knowledge Graph and NER based recommender can be efficiently built and run and it can perform comparatively well with traditional…

Matrix Factorisation Part-3

Matrix Factorisation with temporal dynamics

GraphFlix: How We Taught a Graph Transformer to Understand Movie Taste

Turning MovieLens into a heterogeneous graph and injecting time-decayed user profiles into Graphormer attention.

Finding the Perfect Replacement: How ML Recommender Systems can aid Valorant Transfers!

A deep dive into player performance analytics and recommendation systems for the 2025 transfer season

Why Is That Restaurant Always a 4.2?

You open a delivery or maps app. One place shows 4.8★ with just a few reviews; another shows 4.2★ with many. You have ten seconds to…

Error Correction Codes for Recommender Systems: DTEC Explained

How error correction codes power DTEC, a lightweight residual-learning add-on that lifts recommender accuracy on sparse data without…

Error Correction Codes for Recommender Systems: The DTEC Approach

Learn how error correction codes and the DTEC dual training method turn residuals into ranking gains — boosting accuracy and robustness in…

From StoryYoga to Smart Curation: How I Built My Own Recommender System for Moral Stories — Part 1

Introduction:

Building a Spotify Song Recommender System with Python and Streamlit

Ever wondered how Spotify seems to know what songs you’ll like next? I wanted to explore the mechanics behind recommender systems, and I…

OneRec Technical Report(OneRec 기술 보고서)

배경 및 개요

The Role of Multi-Criteria Decision Methods in Artificial Intelligence: Applications and Use Cases

In the age of artificial intelligence (AI), decision-making systems are becoming increasingly complex. When dealing with scenarios that…

AI in CVS Front Store E-commerce: Building A Complementary Product Bundle Recommender

[Linear Algebra] Singular Value Decomposition and Low Rank Approximation

Singular value decomposition and low-rank approximation

Find top online stores, by vertical, popularity and other features

We collected data on 1+ million online stores, categorized them with ML classifier with 1360 categories (using their products as input) and…

Building a Recommendation Engine Using Neo4j Hands-On — Part 2

From Data Model to Loading Data to Making Recommendations

Recommender System

Nedir bu recommender system?

Katib: easily improve your ML models

Using Katib for hyperparameter tuning on a movie recommender model

[Bigin] Recommender System

WRITTEN By Sungkyu Kang