Large-scale clustering and complete facet and tag calculation

Abstract

The State and University Library of Denmark is developing an integrated search system called Summa, and as part of the Summa project a clustering module and a facet module. Simple clusters have been created for a collection of more than six and a half million library metadata records using a linear clustering algorithm. The created clusters are used to enrich the metadata records, and search results are presented to the user using a faceted browsing interface alongside a ranked result list. The most frequent tags in the different facets in the search result can be calculated and presented at a rate of approximately three million records per second per machine. © Springer-Verlag Berlin Heidelberg 2007.