Two-Dimensional Visualization for Internet Resource Discovery

Traditional information retrieval systems return documents in a list where documents are sorted according to their publication dates titles or similarities to the user query Users select interested documents by searching them through the returned list In a distributed environment documents are returned from more than one information server A simple document list is not e cient to present a large volume data to the users In this paper we propose a two dimensional visualization scheme for Internet resource discovery Our method displays data by clusters ac cording to their cross similarities and still retains the rankings with respect to the user query In addition it provides a customized view that arranges data in favor of user s preference terms Index Terms information retrieval resource discovery similarity measure visualization