Headless { Creator Podcast }

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


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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?
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    Reference Links

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    • Kent’s Linkedin (https://www.linkedin.com/in/kentso/)
    • Algolia (https://www.algolia.com/)
    • Elastic Search (https://www.elastic.co/)
    • Solr Search (https://lucene.apache.org/solr/guide/6_6/overview-of-searching-in-solr.html)
    • Chatbot Podcast Episode (https://anchor.fm/contentful-creators/episodes/E15--A-Conversation-about-Chatbots--Jordi-Torras-eh2172)
    • Algolia Search Podcast Episode (https://anchor.fm/contentful-creators/episodes/E2--A-Conversation-about-APIs--Decoupling-and-Scalability--Matthew-Foyle-ec03v3)
    • ...more
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