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Collective Intelligence & Distance Learning
Collective intelligence is a shared or group intelligence involving knowledge creation and flow. Pooled brainpower emerges from the collaboration and learning actions of a community of connected individuals empowered by social media, participatory tools, and mobile platforms.
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Facebook Launches Recommendations Bar For Suggesting Articles

Facebook Launches Recommendations Bar For Suggesting Articles | Collective Intelligence & Distance Learning |
Ten Months after Facebook announced the recommendations bar at f8, it's finally getting its official release to help sites suggest content to you based on what friends are reading.


When you’re reading an article on a site that has implemented the Recommendations Bar, a small pop up will appear at the bottom, showing you recommended articles based on your friends’ activity.

Similar to the current Like button, if you like an article using the Recommendations Bar, the story is published on your timeline and appears in your friends’ news feed.

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AppHero Raises $1.8 Million For App Recommendation Service Which Learns Your Interests From Facebook

AppHero Raises $1.8 Million For App Recommendation Service Which Learns Your Interests From Facebook | Collective Intelligence & Distance Learning |
Following Apple's acquisition of Chomp, the app search and discovery business continues to heat up.


App Hero is building an app recommendation service that helps users find new applications to try by analyzing their historical activity and their social data. It also includes a friending functionality so users can see which apps their friends are installing and recommending.


At first glance, this setup sounds very similar to what the mobile app recommendation platform Crosswalk is currently doing. Like AppHero, Crosswalk keeps track of your apps and allows you to recommend your favorite ones to others. And it does a better job at figuring out your interests than iTunes Genius does, in my opinion.


However, while Crosswalk taps into Facebook (and other services) to discover which of your friends are on the platform, AppHero takes a different route – it actually uses your Facebook data to help it make its recommendations.


A recent high school graduate, Satok started AppHero in May 2011, finding inspiration in the untapped potential of mobile technology. “These devices are capable of so much, and people are under-utilizing them,” he says. “I’ve been thinking about how we can deliver the most value to consumers, and it led down this path of thinking about the space of personalization.”


He thinks that AppHero is a better tool for app discovery than an app search site because search is only great when you already know what you’re looking for. “But people don’t know what they don’t know,” he says. As for the comparisons with Crosswalk and the like, he claims the big differentiator is the underlying intelligence in AppHero. Not only does the service understand “who someone is and what they’re like,” Satok says, it also learns more about them over time by tracking their Facebook social data (think: updated location, marital status, likes etc.) and activity (e.g., geo-location, app downloads and likes/dislikes).

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