| --- |
| title: Event Server Overview |
| --- |
| |
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| |
| Apache PredictionIO offers an Event Server that collects data in an |
| event-based style via a RESTful API. By default, Event Server uses Apache HBase |
| as data store. |
| |
|  |
| |
| |
| ## What data should I collect? |
| |
| The Event Server can collect and store arbitrary events. At the beginning of |
| your project, it is recommended to collect as much data as you can. Later on, |
| you can exclude data that are not relevant to your predictive model in Data |
| Preparator. |
| |
| ### Recommendation Engine |
| |
| With Collaborative Filtering based Recommendation Engine, a common pattern is |
| |
| ``` |
| user -- action -- item |
| ``` |
| |
| where users and items have properties associated with them. |
| |
| For example, for personalized book recommendation, some events to collect would |
| be |
| |
| - User 1 purchased product X |
| - User 2 viewed product Y |
| - User 1 added product Z in the cart |
| |
| User properties can be gender, age, location, etc. Item properties can be genre, |
| author, and other attributes that may be related to the the user's preference. |
| |
| Data collection varies quite a bit based on your application and your prediction |
| goal. We are happy to [assist you with your |
| questions](mailto:support@prediction.io). |
