3. Background
• I was in charge of manage Search(a.k.a. Bing)
development team in Japan at Microsoft R&D.
• Search team is constantly pursuing the best
algorithm which does not have to perform
manual adjustment as much as possible.
4. Important points
• Algorithm vs. Data(Crawling)
– Balance for best relevancy !
• Linguistics issue
– Understanding Language
• Maturity of market
– Dependency of Search
5. Search engine vs. SEO
• Does the Search team prefer SEO?
– Yes.
• Help to understand page/contents for Search engine.
• It makes it easier to find valuable content.
• How about SEM?
– Want to eliminate temporary SEM…
• Ranking of low-value content goes up.
6. Search and AI
• “No free lunch Theorem (NFLT)”
– In general algorithms, it is a chance to take measures
at places where search results are not high.
average
efficiency
General algorithm
Special purpose algorithm
Types of search results
7. For market in Japan
• The market in Japan is already the
situation of “Red Ocean” as SEO market.
– The market wants new methods.
– Global service want global SEO/SEM.