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A tartalmat a Headless Creator biztosítja. Az összes podcast-tartalmat, beleértve az epizódokat, grafikákat és podcast-leírásokat, közvetlenül a Headless Creator vagy a podcast platform partnere tölti fel és biztosítja. Ha úgy gondolja, hogy valaki az Ön engedélye nélkül használja fel a szerzői joggal védett művét, kövesse az itt leírt folyamatot https://hu.player.fm/legal.
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E24 | A Conversation about Search and Content Modeling | Kent So

38:46
 
Megosztás
 

Manage episode 312693042 series 3241777
A tartalmat a Headless Creator biztosítja. Az összes podcast-tartalmat, beleértve az epizódokat, grafikákat és podcast-leírásokat, közvetlenül a Headless Creator vagy a podcast platform partnere tölti fel és biztosítja. Ha úgy gondolja, hogy valaki az Ön engedélye nélkül használja fel a szerzői joggal védett művét, kövesse az itt leírt folyamatot https://hu.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 epizódok

Artwork
iconMegosztás
 
Manage episode 312693042 series 3241777
A tartalmat a Headless Creator biztosítja. Az összes podcast-tartalmat, beleértve az epizódokat, grafikákat és podcast-leírásokat, közvetlenül a Headless Creator vagy a podcast platform partnere tölti fel és biztosítja. Ha úgy gondolja, hogy valaki az Ön engedélye nélkül használja fel a szerzői joggal védett művét, kövesse az itt leírt folyamatot https://hu.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 epizódok

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