AI Origins & Evolution

From Goa to California: How Amey Dharwadker is Leading Meta’s Video Recommendations

If you encounter personalised content on Facebook, chances are it’s the work of Amey Dharwadker and his team.

20/02/2024

AI News & Update

User Engagement Thrives as Meta’s AI Recommendations Shine

On the other hand, 33 US states have filed a lawsuit against the platform for adversely affecting the mental health of its users

27/10/2023

AI News & Update

Twitter Open-Sources Its Recommendation Algorithm

To avoid any risk, the open-source code does not include Twitter’s ad recommendations or the social media’s training data.

01/04/2023

Intellectual AI Discussion

How Pocket FM Used Recommendation Engine to Scale

“The sheer amount of additional information by audio series gives us more data points to leverage around creating a personalised user experience” – Prateek Dixit

09/12/2022

Intellectual AI Discussion

Meet the Man behind Housing.com’s Recommendation System

For users, the interface still stays the same, but the recommendations at Housing.com have become smarter than ever

08/12/2022

AI Origins & Evolution

India Needs Recommendation Engines with Checks and Balances

Governments and tech corporations would need to collaborate to come up with a plan that would allow platforms to identify hazardous content before recommendation algorithms do

05/12/2022

Best Python Libraries for Recommendation Systems

AI Mysteries

Best Python Libraries for Recommendation Systems

Learn from these libraries to upscale your knowledge

18/11/2022

AI News & Update

TikTok Parent ByteDance Reveals its SOTA Recommendation Engine

TikTok is one of the fastest growing social media services, and several researchers have credited the app’s success to their recommender system algorithm.

08/11/2022

AI Mysteries

How to generate recommendations using reinforcement learning?

Embedding Q-Learning with Policy network would generate recommendation

29/06/2022

Intellectual AI Discussion

Inside GreedyGame’s AI-enabled recommendation & creation engine for native ads

GreedyGame has the world’s first AI-enabled ad unit recommendation and creation engine for implementing native ads.

05/04/2022

AI Origins & Evolution

NVIDIA Merlin vs TensorFlow Recommenders: A comparison of these recommendation frameworks

TFRS is an open-source TensorFlow package to build, evaluate, and serve sophisticated recommender models.

30/03/2022

AI Mysteries

How to build a recommendation system using TensorFlow Ranking?

The TensorFlow library is an implementation from TensorFlow that helps us in building learning-to-rank (LTR) models. The learning to rank(LTR) models are models that help us in constructing the ranking models for any information retrieval system.

10/03/2022

AI News & Update

Pytorch introduces TorchRec, an open source library to build recommendation systems

TorchRec was used to train a model with 1.25 million parameters that went into production in January.

24/02/2022

AI Mysteries

How to Build Sequential Recommendation Systems with Graph Convolutional Networks?

In one of the previous articles, we discussed the sequential recommendation systems in detail. The sequential recommendation systems recommend items to the users by capturing

26/12/2021

AI Mysteries

A Beginner’s Guide to Sequential Recommendation Systems

There are different types of recommendation systems used in a variety of applications that intend to ease the interactions of users with the system and

26/12/2021

AI Mysteries

An Illustrative Guide to Multimodal Recommendation System

The general recommendation systems learn the pattern of user choices or interactions with items and recommend the items to the users based on the learned

25/12/2021

AI Origins & Evolution

Ethics Of AI: 193 Members Of UNESCO Adopt Recommendations

In a historic global agreement, all 193 members of UNESCO adopt the recommendations on the ethics of AI document

01/12/2021

AI Mysteries

How to Measure the Success of a Recommendation System?

Recommender systems are used in a variety of domains, from e-commerce to social media to offer personalized recommendations to customers

24/10/2021

AI Mysteries

A Guide to Building Hybrid Recommendation Systems for Beginners

A hybrid recommendation system is a special type of recommendation system which can be considered as the combination of the content and collaborative filtering method.

23/10/2021

AI Mysteries

Hands-On Guide To RecBole Recommendation Algorithms

RecBole is a python package for various recommendation system algorithms. which covers four major categories of recommendation system with 72 algorithms

11/08/2021

AI Origins & Evolution

Tech Behind Spotify’s Spot On Recommendations

Spotify’s Discover Weekly offers compelling recommendations for exploring similar music and new releases tailored to the user’s taste. The on-demand music service uses big data

16/07/2021

AI Origins & Evolution

Inside TikTok’s Compelling Recommendation Engine

As of 2020 December, TikTok has overtaken Facebook to become the most downloaded app. Its founder Zhang Yiming’s estimated net worth stands at $35.6 billion.

04/07/2021

AI Origins & Evolution

Inside Netflix’s Recommendation Engine

Netflix began as a humble DVD rental platform in 1997 and transformed into a major Over-The-Top giant with 207 million plus paid subscribers worldwide. At

09/05/2021

AI Origins & Evolution

Explained: Facebook’s Novel Method To Downsize Recommendation Models By 112 Times

A combined team from Facebook AI Research and Georgia Institute of Technology has come up with a new approach, known as Tensor Train decomposition for

08/02/2021

AI Mysteries

Guide to Product Recommendation Using ML.NET

Product recommendation in Machine Learning refers to the task of recommending product(s) to a customer based on his purchase history. A product recommender system is

30/01/2021

AI Mysteries

How To Leverage GPUs For Recommendation Engines At Scale

Using GPUs at scale comes with various challenges due to compute-intensive and memory-intensive components. For instance, GPUs that train state-of-the-art personal recommendation models are largely

04/01/2021

Does India Have The Infrastructure To Implement Policy Recommendations To Avoid Algorithmic Bias

AI Origins & Evolution

Does India Have The Infrastructure To Implement Policy Recommendations To Avoid Algorithmic Bias

In recent news, the Centre for Data Ethics and Innovation (CDEI) in the UK, published a review study on the risks of bias in algorithmic

08/12/2020

Why MeitY Needs To Consider IFF’s Recommendations For Data Centre Policy

AI Origins & Evolution

Why MeitY Needs To Consider IFF’s Recommendations For Data Centre Policy

The Internet Freedom Foundation (IFF) recently published its recommendations for the draft on Data Centre Policy by the Ministry of Electronics and Information Technology (MeitY).

30/11/2020

What Do Policy Recommendations For ADM Systems In Europe Mean For India?

AI Origins & Evolution

What Do Policy Recommendations For ADM Systems In Europe Mean For India?

A recently released report, Automating Society 2020, provides policy recommendations with an aim to better ensure that Algorithmic Decision Making (ADM) systems currently being deployed

17/11/2020

AI Mysteries

Hands-On Guide To Recommendation System Using Collaborative Filtering

Recommendation systems expect to foresee clients’ inclinations and predict the most likely product that the users are most likely to purchase and are of interest to them.

02/11/2020

Results

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