Today, students ran a simulation of negotiations among stakeholders of search engines. Students represented the interests of different companies (Google, Yahoo, MS), organizations (ALA?), and governments (USA, China).
Unfortunately, I was unable to attend. If you were there… how did it go?
Building Document Recommender Systems to Meet User Information Seeking Needs
by Sean McNee, Computing Research Scientist at Attenex Corp.
Issue:
Information Overload – there is a massive amount of information today.
Solution:
Recommender Systems
Additional Issues:
Issue: There is an overload of Research Papers
Issue: Recommendation Systems need to be considered from a User-Centric Perspective
See below for summary. (Note the findings about the suitability of a particular algorithm and about user perspectives on lists of results)
(more…)
