List: recommendation engine | Curated by Yoshiyuki Igarashi

Oct 4, 2023

10 stories

recommendation engine
In
TDS Archive
by
Thao Vu
Correct Sampling Bias for Recommender SystemsWhat is sampling bias in recommendation, and how to correct them
Oct 1, 2023
1
Oct 1, 2023
1
In
TDS Archive
by
Samuel Flender
Biases in Recommender Systems: Top Challenges and Recent BreakthroughsBehind the ongoing quest for building unbiased models from biased data
Feb 23, 2023
6
Feb 23, 2023
6
Angelina Yang
Large-scale Recommendation System In ProductionRecommendation systems are critical to the success of today’s online commercial platforms.
Aug 27, 2022
Aug 27, 2022
In
Froomle
by
Robin Verachtert
What I Learned during 4 Years of Recommender Systems ResearchI’m currently in the process of writing my thesis, after four years of research into online recommender systems.
Here I’ll try to present…
Feb 21, 2023
Feb 21, 2023
Adrien Biarnes
Building a Multi-Stage Recommendation System (Part 1.1)Understanding candidate generation and the two-tower model
Aug 13, 2022
9
Aug 13, 2022
9
In
Towards AI
by
Yashashri Shiral
A guide to Predictive Lead Scoring using Machine LearningLead scoring is a valuable tool while implementing a marketing strategy and in this article, you will understand how you can do it using…
Aug 4, 2022
1
Aug 4, 2022
1
In
TDS Archive
by
Francesco Casalegno
Learning to Rank: A Complete Guide to Ranking using Machine LearningSorting items by relevance is crucial for information retrieval and recommender systems.
Feb 28, 2022
10
Feb 28, 2022
10
FunCorp
Putting a two-layered recommendation system into production(Bonus: we reveal the dataset!)
May 20, 2022
May 20, 2022
Dhruv Naik
Introduction to TorchRecA library for production-ready recommendation systems
Mar 17, 2022
3
Mar 17, 2022
3
FunCorp
Ten Mistakes to Avoid When Creating a Recommendation SystemWe’ve been long working on improving the user experience in UGC products with machine learning. Here are our ten key lessons of…
Jul 27, 2022
2
Jul 27, 2022
2

recommendation engine

Correct Sampling Bias for Recommender Systems

What is sampling bias in recommendation, and how to correct them

Biases in Recommender Systems: Top Challenges and Recent Breakthroughs

Behind the ongoing quest for building unbiased models from biased data

Large-scale Recommendation System In Production

Recommendation systems are critical to the success of today’s online commercial platforms.

What I Learned during 4 Years of Recommender Systems Research

I’m currently in the process of writing my thesis, after four years of research into online recommender systems. Here I’ll try to present…

Building a Multi-Stage Recommendation System (Part 1.1)

Understanding candidate generation and the two-tower model

A guide to Predictive Lead Scoring using Machine Learning

Lead scoring is a valuable tool while implementing a marketing strategy and in this article, you will understand how you can do it using…

Learning to Rank: A Complete Guide to Ranking using Machine Learning

Sorting items by relevance is crucial for information retrieval and recommender systems.

Putting a two-layered recommendation system into production

(Bonus: we reveal the dataset!)

Introduction to TorchRec

A library for production-ready recommendation systems

Ten Mistakes to Avoid When Creating a Recommendation System

We’ve been long working on improving the user experience in UGC products with machine learning. Here are our ten key lessons of…

Yoshiyuki Igarashi