The Latest News On The API Economy

Searching: No Search Term , Filtered By Category: "Books", Category: "Recommendations"

O'Reilly's "Mining the Social Web" a Stand-Out Resource for Social Developers

For the developer seeking to experiment efficiently with social APIs, O'Reilly's 2nd Edition of "Mining the Social Web" is a truly outstanding resource. Author Matthew A. Russell drops the developer right into the sandbox of each social network (Twitter, Facebook, LinkedIn and Google+ are particularly emphasized, as you would expect) with just the right amount of explanation about what's accessible via each dataset, and then clears out all the obstacles so they can start data mining against very clear examples.
11-22-2013

Tumbz API: Finding The Opinions That Matter To You

The power of choice is a valuable part of our everyday lives, and with so many options at our disposal along with wildly different tastes and opinions, it's a good thing we have the freedom to choose. Based on this idea, it's easy to see how things like music charts, recommendations from film critics and general ratings on social media platforms may not be the opinions shared by everybody, and a recommendation system that could focus more on a person's specific preferences would be quite useful. That's pretty much what Tumbz has set out to do. The Tumbz API also makes it possible for this functionality to be integrated with other applications.

Trippin' In API: Instant Insight Into What's Hot And What's Not

Word of mouth is the best kind of information when looking for advice on where to eat, places to stay, things to do and more. Applications like Yelp and Tripadvisor offer users great insight when it comes to reviews and recommendations, but Trippin' In takes this concept to the next level by providing up-to-date social rankings; instant insight into what's popular right now. The Trippin' In API makes it possible for this functionality to be integrated into already existing recommendation applications, further enhancing their relevance and appeal to users.