The system shall provide users with a relevance score based on the ScrapeScholar algorithm used to analyze each abstract and also frontend visuals of most frequent keywords.
Acceptance Criteria
Given a user logs into the application and performs a search
When the search results are returned to the user
Then the relevancy score is visible along with other elements of the search query and frontend visuals of most frequent keywords.
Definition of Done
[ ] Frontend returns the relevancy score and displays it with the other elements of the search query
[ ] Frontend uses visuals to highlight the keywords that were detected most in the abstract
[ ] Wireframes are completed that show the layout of the frontend
[ ] Code is functional and complete
[ ] Unit tests are written, and pass
[ ] Integration tests are written, and pass
[ ] Automated tests pass
[ ] Automated build pass
[ ] GitHub Issue updated in a comment with any relevant documentation
beedawn
commented
1 week ago
Title: US-25 Frontend Priority: High Estimation: 8 Risk: Low Requirement: US-25
User Story
The system shall provide users with a relevance score based on the ScrapeScholar algorithm used to analyze each abstract and also frontend visuals of most frequent keywords.
Acceptance Criteria
Given a user logs into the application and performs a search When the search results are returned to the user Then the relevancy score is visible along with other elements of the search query and frontend visuals of most frequent keywords.
Definition of Done