Recommendation Analytics and Engine Quiz
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Questions and Answers

What is the purpose of recommendation analytics?

  • To personalize the web experience
  • To provide suggestions to customers
  • To understand the performance of the recommendation tool (correct)
  • To track customer behavior patterns
  • What is the main focus of collaborative filtering?

  • Building a user profile based on preferences
  • Describing products using keywords
  • Predicting user preferences based on similar users
  • Analyzing user behavior data (correct)
  • How does content-based filtering work?

  • By predicting user preferences based on online activities
  • By gathering data on user behavior
  • By personalizing the web experience
  • By describing products and building user profiles (correct)
  • What technologies are used in recommendation engines?

    <p>Machine learning and predictive analytics</p> Signup and view all the answers

    Which type of recommendation system focuses on similarities with other users?

    <p>Collaborative Filtering</p> Signup and view all the answers

    What is a hybrid recommendation system?

    <p>A system that uses both content-based and collaborative filtering simultaneously</p> Signup and view all the answers

    What are the 'three v's' of big data?

    <p>Volume, Variety, Velocity</p> Signup and view all the answers

    What is mass customization?

    <p>Personalizing products and services for customers in a cost-effective manner</p> Signup and view all the answers

    What is the key goal of Pandora's Thumbprint radio?

    <p>To create a playlist based on user interactions with different Pandora stations</p> Signup and view all the answers

    Which audio streaming platform offers Playlist Recommendation Using Reinforcement Learning?

    <p>Spotify</p> Signup and view all the answers

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