DataHour: Creating Advanced & Large-Scale Recommendation System

DataHour: Creating Advanced & Large-Scale Recommendation System

17 Jan 202414:01pm - 17 Jan 202415:01pm

DataHour: Creating Advanced & Large-Scale Recommendation System

About the Event

Headspace, a premier app for mindfulness and meditation with a global user base exceeding 60 million, has developed an extensive recommendation system to enhance user experience by suggesting content aligned with their preferences. In our upcoming presentation, we'll delve into the insights gained from creating and managing this system. We'll explore the hurdles they encountered, the strategies they employed, and the outcomes they've seen. Additionally, we'll examine the evolving landscape of recommendation systems and their potential to elevate the user experience in various applications. 


Key takeaways: 

  • The paramount importance of Data: The success of a recommendation system heavily relies on the quality and volume of data. 
  • The significance of Algorithms: Choosing the right algorithms is crucial for enhancing the precision and efficiency of the system. 
  • The power of Personalization: Tailoring content to user interests significantly boosts engagement. 
  • The necessity of ongoing Adaptation: To maintain accuracy and effectiveness, recommendation systems must continually integrate new data and feedback.
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  3. Best articles get published on Analytics Vidhya’s Blog Space
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Who is this DataHour for?

  1. Best articles get published on Analytics Vidhya’s Blog Space
  2. Best articles get published on Analytics Vidhya’s Blog Space
  3. Best articles get published on Analytics Vidhya’s Blog Space

About the Speaker

Rohan Singh Rajput

Rohan Singh Rajput

Senior Data Scientist at Headspace

Rohan Singh Rajput is a dedicated professional in the field of personalization, currently leading as the Personalization Domain Lead at Headspace. With a career spanning over ten years, Rohan has quietly but effectively made his mark in analytics, data science, machine learning, and artificial intelligence. His work, characterized by a deep understanding and thoughtful application of complex concepts, has led to the successful deployment of several machine learning models.Humbly recognized in his field, Rohan has a modest following of over 11,000 professionals on LinkedIn and holds patent, paper, and book chapters underscoring his quiet yet significant contributions to the industry. He shares his insights at data science conferences and through articles, always aiming to contribute meaningfully to the community.

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