Google Prediction API 'Multi-category prediction, Continuous Output' and More!

Google adds new features to the Prediction API:Multi-category prediction: Imagine you're writing a news aggregator that suggests articles based on kinds of stories user has read before. Previously, each article could only be tagged with the most pertinent label. Now can be tagged with all of those labels, with the labels ranked by pertinence, enabling […]

Google adds new features to the Prediction API:

  • Multi-category prediction: Imagine you're writing a news aggregator that suggests articles based on kinds of stories user has read before. Previously, each article could only be tagged with the most pertinent label. Now can be tagged with all of those labels, with the labels ranked by pertinence, enabling your app to make better recommendations.
  • Continuous Output: You'd like to create a wine recommendation app. Matching a wine to personal preferences is a tricky task; Using continuous output, your app can provide a fine-grained ranking of wines based on how well they fit user's preferences.
  • Mixed Inputs: You're creating an automatic moderator for your blog. You could already classify incoming posts automatically based on comment text and username of the poster (text inputs), but not the number of times they've posted before or the number of users that've liked their posts. With mixed inputs, both numeric and text data can be incorporated in your moderation helper, greatly improving accuracy and letting you get back to making content rather than managing it.
  • Combining Continuous Output with Mixed Inputs: To further enhance automatic moderator, you can use continuous output to set thresholds for automatic posting, automatic rejection and manual moderation, further reducing your workload.

More Info: Prediction API

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