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Two tower models for retrieval of recommendations
Fourth post in this series on personalized recommendations
Feb 19, 2021 • 
Gaurav Chakravorty
17

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Applied ML | Recommender systems
Two tower models for retrieval of recommendations
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
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Applied ML | Recommender systems
Early (Stage) Ranking in recommender systems
3
How to build ML-first products
Problems companies face in adopting ML and how to solve them
Jun 24, 2022 • 
Gaurav Chakravorty
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How to build ML-first products
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

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Applied ML | Recommender systems
Ranking model calibration in recommender systems
2
Recommendations using graph neural networks
personalized recommendations #8
Mar 7, 2021 • 
Gaurav Chakravorty
10

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Applied ML | Recommender systems
Recommendations using graph neural networks
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

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Applied ML | Recommender systems
Personalized short-video recommender systems
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

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Friend Recommendation Retrieval in a social network
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

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Applied ML | Recommender systems
User representation in a recommender system | memorization vs generalization
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

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Applied ML | Recommender systems
Scalable Embedding based retrieval for target side value
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

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Reducing selection bias / popularity bias in ranking
How to implement Generative Retrieval
GenAI meets recommender systems
Jun 5 • 
Gaurav Chakravorty
 and 
Samson Komo
13

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How to implement Generative Retrieval
4
1:18:39
Fairness in ranking
Helping Elon build a "fair" ranking algorithm
May 3, 2022 • 
Gaurav Chakravorty
12

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Fairness in ranking
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