Archive for the ‘Recommender Systems’ Category

Recommender Systems, User-based Perspectives, Recommending Research Papers

March 2, 2007

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…)