India's largest platform for AI & Analytics leaders, professionals & aspirants

Sign in

India's largest platform for AI & Analytics leaders, professionals & aspirants

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

  • Augmenting AI to set the right sales targets

    Author: Abhishek Bhadra, AVP – Platforms & Offerings (Building AI products for Sales & Commercial value chain with domain expertise in CPG& Retail, Manufacturing & Aftermarket Services), Genpact | LinkedIn – https://www.linkedin.com/in/abhishekbhadra/ Setting the right target  Target setting for the sales force is an age-old problem which is nonlinear and multivariate in nature. If the target is […]

  • 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 […]

  • AI to outmanoeuvre human drivers

    As driverless cars become a mainstream reality, AI is aiding it greatly to  remove all barriers to autonomous function and humanization of its operation. The biggest challenge self-driving cars will have to overcome on the road is being able to react to the randomness of traffic flow, other drivers, and the fact that no two […]

  • 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 […]