SELECT : social and collaborative filtering of web documents and news
David M. Nichols, R. Alton-Schiedl, J. Ekhall, O. van Geloven, László Kovács, András Micsik, Christopher Lueg, Richard Messnarz, Jacob Palme, T. Tholerus, D. Mason, Rob Procter, E. Stupazzini, M. Vassali, M M Wheeler · Lancaster EPrints (Lancaster University) · 1999
We describe the goals and progress to date of SELECT, a project funded under the EC Telematics Applications Programme.The objective of the SELECT project is to help Internet users to find the most reliable, valuable, important and interesting information quickly and easily and reduce information overload.SELECT is aimed not only at users who search for specific information, but also at those who use the Internet to keep up to date with what is happening in particular areas.In these ways, SELECT will make a positive contribution to the problem of helping users to tailor their information environments to meet their individual needs.The approach adopted in SELECT is based upon information filtering.SELECT makes use of two filtering techniques.One is to make recommendations derived from an individual user's past choices.The other is to make recommendations derived from the behaviour of other users through social, collaborative filtering, especially those who have displayed similar tastes and interests in the past.Both techniques make use of users' ratings of Internet documents, either given explicitly or derived implicitly from evidence of users' behaviour.