1.10 Journal Article Recommendation System (JARS)

TEAM


Project lead:
Hui Soo Chae

Team members:
Ankit Ranka
Project

The Journal Article Recommendation System (JARS) identifies related journal content relevant to the query made by a user and provides a link to the relevant library collection. The system can be deployed in any number of online venues.


EMAIL