Hugh Macleod writes that Microsoft should buy Facebook because "all search begins and ends with people, not algorithms". I don't know where this diagram came from, but it expresses the evolution of search pretty perfectly — from portal to search engine to social network.
One of Hugh's commentors took issue with his view, stating that search and recommendation are not necessarily the same thing. Surely they are similar. Google's relevance algorithm is a voting algorithm based on how many other sites link. It's a mathematical model of the meatspace recommendation algorithm that Facebook represents.
Alec Saunders is the Vice President of Developer Relations for BlackBerry make Research in Motion. This is his personal blog, with his personal viewpoints. Prior to this Alec was the CEO and co-founder of Calliflower — the easiest way to hold a meeting, online, on a conference call, or on the go. A double-decade veteran of product management and marketing, he spent nine years at Microsoft where he helped launch Windows 95, the first two versions of Internet Explorer, the Universal Plug and Play initiative, the push into home markets, opt-in email marketing and what might well go down in history as the very first direct email list ever.
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It is NOT about SEARCH or SHARE.. It is about FIND.
I want a FIND engine.
I didn't FIND anything on Facebook yet.
My questions got no answers or only unsatisfactory answers. Maybe that's because I am not such a famous person. If you are a more well known person with much traffic on your Facebook site, maybe then you can ask the crowd and one of your readers will have the right answer. My questions in the Facebook groups got nearly no attention.
But do I want that? Social status decides about my search results?
Oh no! I definitely prefer a democratic automatic search algorithm. Also I just don't have the time to wait for the crowd's answer. Mostly I am looking for news to illustrate my articles on GNews archive and GBlogsearch.
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