India's largest platform and marketplace for AI & Analytics leaders & professionals

Sign in

India's largest platform and marketplace for AI & Analytics leaders & professionals

3AI Digital Library

Unravelling Recommender Systems

July 12, 2020

Sarabjot Singh
Cofounder & Chief Data Scientist at Tatras Data

E-commerce and retail companies are leveraging the power of data and boosting sales by implementing #recommender systems on their websites. The use cases of these systems have been steadily increasing within the last years and it’s a great time to dive deeper into this amazing machine learning technique. In this webinar, 3AI Thought Leader, Sarabjot Singh, will provide a practical overview of recommender systems. First, three major systems are reviewed: content-based, collaborative filtering, and hybrid, followed by discussions on cold start, scalability, interpretability, and exploitation/exploration. Key Takeaways 1. Describe the purpose of recommendation systems. 2. Understand the components of a recommendation system including candidate generation, scoring, and re-ranking. 3. Develop a deeper technical understanding of common techniques used in candidate generation.

    3AI Trending Articles

  • Changing face of Algorithms

    In the age of Big Data, algorithms give companies a competitive advantage. Today’s most important technology companies all have algorithmic intelligence built into the core of their product: Google Search, Facebook News Feed, Amazon’s and Netflix’s recommendation engines. “Data is inherently dumb,” Peter Sondergaard, senior vice president at Gartner and global head of Research, said […]

  • Using AI to Outwit Malicious AI

    Robust Intelligence is among a crop of companies that offer to protect clients from efforts at deception. IN SEPTEMBER 2019, the National Institute of Standards and Technology issued its first-ever warning for an attack on a commercial artificial intelligence algorithm. Security researchers had devised a way to attack a Proofpoint product that uses machine learning to identify spam emails. The system produced email headers […]

  • Way to make object-recognition models perform better

    Adding a module that mimics part of the brain can prevent common errors made by computer vision models. Computer vision models known as convolutional neural networks can be trained to recognize objects nearly as accurately as humans do. However, these models have one significant flaw: Very small changes to an image, which would be nearly […]

  • What CIOs can learn from the first 30 days of an AI Copilot

    Featured Article Author: Koyelia Ghosh Roy, EXL Copilot is a buzzword now with almost all assistive solutions being tagged with them. However, it is the most in-demand solution in today’s era, helping from simple automation of mundane tasks like O365 CoPilot or very sophisticated, customized solutions for specialized tasks like data analysis using database agents […]