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E24 | A Conversation about Search and Content Modeling | Kent So

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Manage episode 312693042 series 3241777
Content provided by Headless Creator. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Headless Creator 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://player.fm/legal.

In today’s episode, I chat with Kent So, a product owner for site search at Rogers Wireless, one of Canada’s largest telco, all about Search, Contentful and Content Modeling.

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Questions Asked

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  • Tell us about your background.
  • How did you get involved with Contentful?
  • Define search for us.
  • How can a company maintain good search quality?
  • What is recall?
  • What is relevancy?
  • What are some attributes that affect relevancy?
  • Tell us about curating rules?
  • How would entonation affect a search result?
  • What makes a good search experience?
  • What are some tips for shortening the search journey?
  • What is "type ahead" when it comes to search?
  • Tell us about personalized relavency and how is that different from regular relevancy?
  • How do you strike the balance of customer insights and invasion of privacy?
  • What is a "conversion"?
  • What is a "call deflection"?
  • How can a company use conversion and call deflection to improve their customer support?
  • What's the hit to the bottom line of call deflection?
  • How should search work with iOT devices like Alexa, Siri and others?
  • How does structured content help our content become discoverable?
  • Explain the relationship between search and content.
  • How can we merge multiple sources to display one set of results during a search?
  • What is an ETL process?
  • What is federated search?
  • Define taxonomy?
  • How can you use taxonomy to integrate multiple content sources for unified search results?
  • When creating your content model, how do you balance your author needs, your developer needs and your search needs?
  • Why use an indexing engine instead of going directly to the source, such as Contentful using their API?
  • What are some search engines developers should consider?
  • What are the best way to get content into a search engine?

*******************************

Reference Links

*******************************

  continue reading

31 episodes

Artwork
iconShare
 
Manage episode 312693042 series 3241777
Content provided by Headless Creator. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Headless Creator 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://player.fm/legal.

In today’s episode, I chat with Kent So, a product owner for site search at Rogers Wireless, one of Canada’s largest telco, all about Search, Contentful and Content Modeling.

*******************************

Questions Asked

*******************************

  • Tell us about your background.
  • How did you get involved with Contentful?
  • Define search for us.
  • How can a company maintain good search quality?
  • What is recall?
  • What is relevancy?
  • What are some attributes that affect relevancy?
  • Tell us about curating rules?
  • How would entonation affect a search result?
  • What makes a good search experience?
  • What are some tips for shortening the search journey?
  • What is "type ahead" when it comes to search?
  • Tell us about personalized relavency and how is that different from regular relevancy?
  • How do you strike the balance of customer insights and invasion of privacy?
  • What is a "conversion"?
  • What is a "call deflection"?
  • How can a company use conversion and call deflection to improve their customer support?
  • What's the hit to the bottom line of call deflection?
  • How should search work with iOT devices like Alexa, Siri and others?
  • How does structured content help our content become discoverable?
  • Explain the relationship between search and content.
  • How can we merge multiple sources to display one set of results during a search?
  • What is an ETL process?
  • What is federated search?
  • Define taxonomy?
  • How can you use taxonomy to integrate multiple content sources for unified search results?
  • When creating your content model, how do you balance your author needs, your developer needs and your search needs?
  • Why use an indexing engine instead of going directly to the source, such as Contentful using their API?
  • What are some search engines developers should consider?
  • What are the best way to get content into a search engine?

*******************************

Reference Links

*******************************

  continue reading

31 episodes

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