PolicyNet Plain Language Search Engine
Description
The system is designed to help users quickly find relevant information, improving efficiency and customer service. Ongoing enhancements and data analysis support more accurate and effective search results.
Detailed example
Intelligent search results enabled by the open-source Apache Solr search engine Advanced Search features including tagging, auto complete, and Learning to rank, based on Upvote/downvote sentiment capture .
AI / analytics pattern
Classical/Predictive Machine Learning: Models trained on data to make predictions or classifications based on identified patterns or relationships.
Automation level / stage
c) Deployed – The use case is being actively authorized or utilized to support the functions or mission of an agency.
Expected benefit
The system streamlines access to information for staff, enabling more efficient and accurate decision-making. This leads to improved service delivery and significant time savings, benefiting both agency operations and the public.
Controls / human review
ATO: Yes; PIA: Not published
Data needed
Model used disability program regulations and user provided data