CSC/ECE 517 Spring 2019 - Project E1937. Integrate suggestion detection algorithm.rb: Difference between revisions
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===Task=== | ===Task=== | ||
====Problem statement==== | ====Problem statement==== | ||
Peer-review systems like Expertiza utilize a lot of students’ input to determine each other’s performance. At the same time, we hope students learn from the reviews they receive to improve their own performance. In order to make this happen, we would like to have everyone give quality reviews instead of generic ones. Currently we have a few classifiers that can detect useful features of review comments, such as how many suggestions they contain. The suggestion-detection algorithm has been coded as a web service, and other detection algorithms will be so coded in the future. | |||
====Previous work==== | |||
====Proposed changes==== | ====Proposed changes==== | ||
* Move API calls of suggestion-detection algorithm from view to response_controller.rb | * Move API calls of suggestion-detection algorithm from view to response_controller.rb |
Revision as of 16:33, 7 April 2019
Introduction
Team
Dr. Gehringer (mentor)
- Sushan Basnet (sbasnet2)
- Jasmine Wang (jfwang2)
- Bill Mwaniki (bnmwanik)
- Pratik Kumar Kundanmal Jain (pjain22)
Project
Task
Problem statement
Peer-review systems like Expertiza utilize a lot of students’ input to determine each other’s performance. At the same time, we hope students learn from the reviews they receive to improve their own performance. In order to make this happen, we would like to have everyone give quality reviews instead of generic ones. Currently we have a few classifiers that can detect useful features of review comments, such as how many suggestions they contain. The suggestion-detection algorithm has been coded as a web service, and other detection algorithms will be so coded in the future.
Previous work
Proposed changes
- Move API calls of suggestion-detection algorithm from view to response_controller.rb