The next point of discussion centred around the design and implementation of Nearest Neighbour algorithms within eRaUI. We discussed a current model which is now operational, and also considered a new model which will involve attributing a weighting to each link within a web application. These weights will then be summed wherever there is a 1 to 1 match between a user's click history and each previous existing use case. This will form the kernel of a sophisticated algorithm which should enable us to classify users most effectively.
This e-Research adaptive user interface (eRaUI) project is aiming at developing a personalized user interfaces for a text mining e-Research tool called NaCTeM. eRaUI will be adaptable to different usages and different level of researchers’ knowledge and preferences increasing the use of NaCTeM e-research tools by making it easier to learn and adaptable to the requirements of different user groups.
Project Team: Prof. Farhi Marir, Dr. Sahithi Siva and Dr. Yanguo Jing
Thursday, 17 November 2011
WP2 Meeting 16th November
Farhi and Eamonn met up on the 16th November to discuss Work Package 2 deliverables and progress. First of all we discussed the proposed eRaUI logo which is currently under development. We have decided to adopt an arrow design using some elements from the London Metropolitan University logo, including the colours. This logo will be unveiled shortly once final considerations have been addressed.
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