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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