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IBM Watson Projects by James Miller

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Chapter 7 – Retail And Personalized Recommendations

In Chapter 7, we concentrated on the concept of personalized recommendations and the use of Watson Analytics to create specialized plans through conversational behaviors found within data. The objective was to create an individualized plan based upon a type of user's prior activities and characteristics found within a designated pool of data.

Key takeaways

  • A personalized recommendation means to present or offer someone only those options for a particular situation that have the most probability of being chosen by that individual.
  • Recommendations are characteristically made based on experienced user behavior such as user purchases, page views, clicks, and even items a user has added to a ...

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