Google CEO Larry Page and Microsoft CEO Steve Ballmer agree on one thing: the future of search is tied in with artificial intelligence.
Page has talked about the ideal search engine knowing what you want BEFORE you ask it, and Ballmer recently explained Microsoft's multibillion dollar investment in Bing by saying that search research is the best way to progress toward artificial intelligence apps that help you DO things, not just find things.
So both companies will probably be taking a very close look at CleverSense, which launches its first iPhone app, a "personal concierge" called Alfred (formerly Seymour), today.
The app analyzes data from around the Web to figure out what you will like, based on similarities with other people. It's similar to the recommendation engines pioneered by Amazon -- "other people who bought X also bought Y" -- or the Music Genome Project that eventually grew into Pandora. Only it's applied to the real world.
CleverSense CEO Babak Pahlavan explains that the company grew out of a research project into predictive algorithms that he was working on at Stanford three years ago. The technology crawls the Web looking for what users are saying about particular products, and is able to categorize the results into between 200 and 400 attributes and sentiments for each one.
Page has talked about the ideal search engine knowing what you want BEFORE you ask it, and Ballmer recently explained Microsoft's multibillion dollar investment in Bing by saying that search research is the best way to progress toward artificial intelligence apps that help you DO things, not just find things.
So both companies will probably be taking a very close look at CleverSense, which launches its first iPhone app, a "personal concierge" called Alfred (formerly Seymour), today.
The app analyzes data from around the Web to figure out what you will like, based on similarities with other people. It's similar to the recommendation engines pioneered by Amazon -- "other people who bought X also bought Y" -- or the Music Genome Project that eventually grew into Pandora. Only it's applied to the real world.
CleverSense CEO Babak Pahlavan explains that the company grew out of a research project into predictive algorithms that he was working on at Stanford three years ago. The technology crawls the Web looking for what users are saying about particular products, and is able to categorize the results into between 200 and 400 attributes and sentiments for each one.