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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-training model that does NOT make decisions, it just predicts whether an application meets specific "identifiers" that have been collected and analyzed by the model based on thousands of confirmed spam applications submitted by the colleges.
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- FAQ: Spam Filter Web Service
- Issue: Rise in Fraudulent Applications in CCCApply
- Ways We Are Addressing Fraud in CCCApply
- Machine Learning Research Study
- Spam Filter Web Service
- Machine Learning Model & Prediction Service
- Spam Filter User Interface
- Pilot Project & College Participation
- Next Steps: Collecting Feedback for Future EnhancementsSpam Filter Web Service YouTube Tutorial
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Message to Colleges Even if your college is not having a problem with fraud today, there's a chance you may have a problem in the future. The spam filter web service will give you the tools and knowledge to address fraud now and in the future. |
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