Student Work
The Mindful Reader: Learning-Augmented News Aggregation
PublicDownloadable Content
open in viewerThe Mindful Reader Project centers on the design and development of a machine learning-augmented newsfeed aggregation application. It seeks to reduce the time necessary for users to find interesting newsfeed articles, by building a user interest model from implicit and explicit article ratings and applying that model to rank incoming articles based on predicted user interest. The software was developed using code from the RSSOwl project; in tests, the user interest model grew more accurate with time.
- This report represents the work of one or more WPI undergraduate students submitted to the faculty as evidence of completion of a degree requirement. WPI routinely publishes these reports on its website without editorial or peer review.
- Creator
- Publisher
- Identifier
- E-project-043009-123612
- Award
- Advisor
- Year
- 2009
- Date created
- 2009-04-30
- Resource type
- Major
- Rights statement
- Last modified
- 2023-01-20
Relations
- In Collection:
Items
Items
Thumbnail | Title | Visibility | Embargo Release Date | Actions |
---|---|---|---|---|
cdrouin_mindful_report_final.pdf | Public | Download | ||
MR_Setup_B085.exe | Public | Download |
Permanent link to this page: https://digital.wpi.edu/show/sj139325f