The ever-growing popularity of social networks is allowing sites like Facebook to thread their way into more mainstream brands. On January 30th, the Wall Street Journal added a feature that allows subscribers to see which WSJ stories are popular among their Facebook friends.
The "most popular" entrees on web sites are often the most visited. That’s because people are inherently interested in "what's hot”. It’s also the reason the internet is the perfect medium to recommend reading, aggregate click streams, and forward links to generate the equivalent of a “buzz index”.
The Wall Street Journal application takes this notion one step further, creating the equivalent of a "personal buzz index". "What are people like me interested in today?” That’s the question being answered. And more specifically, "What are trusted people in my social network interested in?"
Now think about reversing the process. Companies could potentially push invitations and interactions to their customers based on what they have in common with them – starting with the fact that they provide them with a product or service. In other words, massive personalization – a holy grail that has been pursued for years.