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Klaviyo Data Science Podcast EP 40 | Platform Abuse and Misuse

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Manage episode 379678569 series 3251385
Content provided by Klaviyo Data Science Team. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Klaviyo Data Science Team or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://staging.podcastplayer.com/legal.

Welcome back to the Klaviyo Data Science podcast! This episode, we dive into…

Off the Happy Path

In most discussions about data science and data science features on this podcast, we make a basic, foundational assumption: the users whose data we are thinking about and customer experience we are trying to improve are, generally speaking, trying to use the platform in a way we recognize and approve of. Not all users of an application have this intention, and the data science behind detecting users who misuse a platform— and even abuse it — constitutes a complex and vast field of study.

Listen along to learn more about:

  • Different types of human behaviors motivating platform misuse, and how that translates to different types of data
  • What makes many-to-one problems so challenging
  • Why keywords alone are not enough

For the full show notes, including who's who, see the Medium writeup.

  continue reading

58 episodes

Artwork
iconShare
 
Manage episode 379678569 series 3251385
Content provided by Klaviyo Data Science Team. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Klaviyo Data Science Team or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://staging.podcastplayer.com/legal.

Welcome back to the Klaviyo Data Science podcast! This episode, we dive into…

Off the Happy Path

In most discussions about data science and data science features on this podcast, we make a basic, foundational assumption: the users whose data we are thinking about and customer experience we are trying to improve are, generally speaking, trying to use the platform in a way we recognize and approve of. Not all users of an application have this intention, and the data science behind detecting users who misuse a platform— and even abuse it — constitutes a complex and vast field of study.

Listen along to learn more about:

  • Different types of human behaviors motivating platform misuse, and how that translates to different types of data
  • What makes many-to-one problems so challenging
  • Why keywords alone are not enough

For the full show notes, including who's who, see the Medium writeup.

  continue reading

58 episodes

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