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The purpose of the Spam Filter Web Service is to assist colleges in making accurate and informed decisions on whether an application coming in through CCCApply is fraudulent or not. At the heart of the web service is a machine learning, continuous retraining -training model that does NOT make any decisions, it just predicts whether an application meets the specific "identifiers" that have been collected and analyzed by the model based on thousands of confirmed spam applications submitted by the colleges.
The User Interface tool gives the colleges the ability to review each application that has been identified flagged as fraud , and through continuous learning allows the model to grow and learn based on the college's determinationsand then make the final decision on whether they should be confirmed as fraud or not. The continuous learning and retraining of the model is based on the final confirmation by the college..
The articles below provide more details about the spam an overview of the spam filter web service and the user interface.
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