|Presentation Date||October 4, 2012|
|Topic(s)||Google Knowledge Graph/Semantic Search|
Everyone uses Google, but how does Google actually come up with relevant results? Google uses advanced algorithms to rank web pages based on certain traits like their inbound links, however they are now realizing that people want to search for more than just web pages. People also want answers. With Google's new knowledge graph they have connected 3.5 billion attributes and connections to create relevant context-specific answers. Google is using semantic search, combining inbound links, user search-history, and user location to find out exactly what you are looking for.
- Google Knowledge Graph - http://www.google.com/insidesearch/features/search/knowledge.html
- Jon Mitchell, Read Write Web, March 15, 2012: Google Semantic Search: Bad for SEO, Good for You - http://www.readwriteweb.com/archives/google_semantic_search_bad_for_seo_good_for_you.php
- Rob Boirun, B2B, July 23, 2012: How Google is Using Artificial Intelligence Post Penguin - http://www.business2community.com/seo/how-google-is-using-artificial-intelligence-post-penguin-0227235
- Rebecca Boyle, Popular Science, May 17, 2012: What is Google's Semantic Search? - http://www.popsci.com/technology/article/2012-05/googles-new-semantic-search-gives-computers-gift-context
- Google Algorithm Change History - http://www.seomoz.org/google-algorithm-change#view-all