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Wednesday, 28th April 2010

Real Time Search: OneRiot Begins Indexing Facebook “Likes,” Shared Content

From the Article:

OneRiot, a real-time search engine that raised $27 million in venture capital, has started indexing “likes” that are publicly shared on Facebook. It uses the data as a “social signal” about what links and pieces of content are interesting to people on top of real-time data it collects from sites like Twitter and Digg. So if a lot of people “like” a news story about the iPad, that page will float to the top of OneRiot’s search results about iPads.

Allowing third-parties to access the company’s public real-time data is a big change from last year, when Facebook typically signed deals to share that content. Microsoft closed a deal with the social network last year to index public status updates, while Google only got a deal to index status updates from Pages, which tend to be marketing vehicles rather than authentic personal profiles.

You can look at Facebook’s public search results while being logged into the social network or at https://graph.facebook.com, which shows results in a format that’s easily readable by third-party applications. Here’s an example search for the term “technology”.

[Snip]

[Mark] Zuckerberg proposed a substantially different way of mapping the web last week, when he suggested that people’s relationships with each other and with objects like bands, restaurants and books would be an even more powerful way of structuring the web [vs more traditional link analysis.

Hmm. We will have to wait and see. We don’t want to be a downer but it will most likely not be all that long until people either for fun or profit or both begin to game the system to get their content in a certain location. The question really is can Facebook keep-up with it or just stop it before it gets out of control.


Access the Complete Article

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Source: SocialBeat/VentureBeat

Views: 252




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