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Bringing Personalized Recommendation to the Legal Domain
Machine Learning has just started to be applied to the Legal Domain. ROSS Intelligence makes it possible for legal professionals to work faster and more effectively. Advanced Recommender Systems have not been previously applied in the Legal Domain. Yet state of the art models such as ones using Deep Collaborative Filtering have proven to be very effective on very sparse datasets. This project will evaluate the effectiveness of state-of-the-art Recommender System techniques applied to the legal domain in the hopes of improving the precision and recall of the current Q&A system.
Faculty Supervisor:
Scott Sanner
Student:
Phileas Hocquard
Partner:
ROSS Intelligence Inc
Discipline:
Computer science
Sector:
Information and communications technologies
University:
Program:
Accelerate
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