Applied ML | Recommender systems
Subscribe
Sign in
Home
Notes
Archive
About
Latest
Top
Discussions
Two tower models for retrieval of recommendations
Fourth post in this series on personalized recommendations
Feb 19, 2021
•
Gaurav Chakravorty
17
Share this post
Applied ML | Recommender systems
Two tower models for retrieval of recommendations
Copy link
Facebook
Email
Notes
More
1
Early (Stage) Ranking in recommender systems
We look at "early (stage) ranking", why it is needed, what is success for it and end with a baseline implementation of it.
Nov 26, 2023
•
Gaurav Chakravorty
23
Share this post
Applied ML | Recommender systems
Early (Stage) Ranking in recommender systems
Copy link
Facebook
Email
Notes
More
3
How to build ML-first products
Problems companies face in adopting ML and how to solve them
Jun 24, 2022
•
Gaurav Chakravorty
24
Share this post
Applied ML | Recommender systems
How to build ML-first products
Copy link
Facebook
Email
Notes
More
Ranking model calibration in recommender systems
We define calibration of ranking models in calibration, the benefit it can bring to prioritize calibration and how to achieve it without affecting…
Jun 9, 2024
•
Gaurav Chakravorty
and
Marc Ferradou
20
Share this post
Applied ML | Recommender systems
Ranking model calibration in recommender systems
Copy link
Facebook
Email
Notes
More
2
Recommendations using graph neural networks
personalized recommendations #8
Mar 7, 2021
•
Gaurav Chakravorty
10
Share this post
Applied ML | Recommender systems
Recommendations using graph neural networks
Copy link
Facebook
Email
Notes
More
4
Personalized short-video recommender systems
To recap the previous two articles in this short-video recommendation series, part-1 "Using online learning in short-video recommendations” showed a…
Sep 17, 2021
•
Gaurav Chakravorty
8
Share this post
Applied ML | Recommender systems
Personalized short-video recommender systems
Copy link
Facebook
Email
Notes
More
Friend Recommendation Retrieval in a social network
From Graph Search to Deep Neural Two-Tower Models
Nov 24, 2024
•
Gaurav Chakravorty
,
Parag Agrawal
, and
Andrew Dodd
16
Share this post
Applied ML | Recommender systems
Friend Recommendation Retrieval in a social network
Copy link
Facebook
Email
Notes
More
User representation in a recommender system | memorization vs generalization
We look at memorization, generalization and mixture of representations based implementations for user preference representation in a recommender system
May 3, 2024
•
Gaurav Chakravorty
,
Hong Chen
, and
Saurabh Gupta
15
Share this post
Applied ML | Recommender systems
User representation in a recommender system | memorization vs generalization
Copy link
Facebook
Email
Notes
More
Scalable Embedding based retrieval for target side value
Addressing Scalability Challenges in Two-Sided Embedding based Recommendations
May 17
•
Gaurav Chakravorty
and
Ridwan Amure
8
Share this post
Applied ML | Recommender systems
Scalable Embedding based retrieval for target side value
Copy link
Facebook
Email
Notes
More
Reducing selection bias / popularity bias in ranking
Through the post, code and videos we show how to make your multi-task ranking model unbiased
Jan 20, 2024
•
Gaurav Chakravorty
and
Ameya Raul
9
Share this post
Applied ML | Recommender systems
Reducing selection bias / popularity bias in ranking
Copy link
Facebook
Email
Notes
More
How to implement Generative Retrieval
GenAI meets recommender systems
Jun 5
•
Gaurav Chakravorty
and
Samson Komo
13
Share this post
Applied ML | Recommender systems
How to implement Generative Retrieval
Copy link
Facebook
Email
Notes
More
4
1:18:39
Fairness in ranking
Helping Elon build a "fair" ranking algorithm
May 3, 2022
•
Gaurav Chakravorty
12
Share this post
Applied ML | Recommender systems
Fairness in ranking
Copy link
Facebook
Email
Notes
More
Share
Copy link
Facebook
Email
Notes
More
This site requires JavaScript to run correctly. Please
turn on JavaScript
or unblock scripts