Diagram of prototype: schematically we can show how the prototype supports the aggregation and of RSS feeds comprising table of contents information from selected journals and filters them (using pre-existing software called sux0r) into two feeds, one of which is has information about those papers that are predicted to be relevant to a user’s research interests. The project has added the ability to interact with sux0r through third-party software.
Our work has shown how effectively this works for a trial group of researchers; in most cases, after sufficient training of the system, the outgoing feeds were successfully filtered so that one contained a significantly higher concentration of interesting items than the raw feeds and the other did not contain a significant number of interesting items.
End User of Prototype:
We have an installation of sux0r which people are welcome to register on and which can be used to set up feeds for aggregation (you will not automatically be given sufficient privileged to approve feeds, so it is best to contact the project about this). The base URL for the API for this installation is http://icbl.macs.hw.ac.uk/sux0rAPI/icbl/ and the API calls which have been implements are documented in the following posts on this blog: Return RSS items for a user and ReturnVectors and ReturnCategories. Also available: a summary of other features for the API have been scoped. The latest update was 08 December 2009.
Here’s a screen cast of Lisa using the API
(NB the version at the end of the link is a whole lot clearer than the embedded YouTube version, especially if you click on the view in HD option).
The code for our work on the API is in a branch of the main sux0r repository on sourceForge.
Phil Barker, firstname.lastname@example.org, Heriot-Watt University (project manager)
Santiago Chumbe, S.Chumbe@hw.ac.uk, Heriot-Watt University (developer)
Lisa J Rogers, email@example.com, Heriot-Watt University (researcher)
Table of Content for Project Posts
- About suxor
- New Features Planned for suxor
- Feature Implemented: Return RSS Items for a user
- Features: ReturnVectors and ReturnCategories
- Trialling of Bayesian Feed Filter
- User Trialling
- Preliminary Findings of User Trials
- User Activity
- Statistics of User Trial Results
- User Trials Follow Up Satisfaction Survey
- BayesFF in 45 Seconds
- Idea: Extension to previous literature
- About Sux0r
- New Featues Planned For Sux0r