Aardvark published a research paper recently outlining the ‘Anatomy of a Large-Scale social search engine‘ which has just been accepted to WWW2010. With the advent of real time search via principally the twitter search functionality, but now also becoming widely adopted by major search engines (google launches real time search) and with the proliferation of smart phones peoples requirements of search is now much more than simply looking for documents that match a set of keywords.
Real time, social which is what Aardvark are delivering, and location centric search are now delivering more targeted results than the, I hesitate to call it ‘traditional’ search engine provides. The concept of targeted results is not necessarily new, but by using social, real time and location data it should be possible to produce more relevant results than the keyword match – particularly for social based search needs, such as – a good place for lunch, or what is the best bar to go to on a thursday.
These types of query are best served through location, no good telling someone about a great cafe in Norwich if the request came from Canterbury, and as we are all aware we trust our peers, and preferably friends even more than a restaurant critic – providing it’s the right friend.
This is how Ardvark are attempting to create relevance by building a view of your social group and getting them to give you the answers.
I really like the idea.
Update - Aardvark was put down by google after aquiring them for $50 million.
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