The paper presents our design of a next generation information retrieval system based on tag co-occurrences and subsequent clustering. We help users getting access to digital data...
Kathrin Knautz, Simone Soubusta, Wolfgang G. Stock
Topics in the field of Web Information Retrieval (IR) and web search are slowly being introduced at the undergraduate level. In this paper, we show how the curriculum for a new u...
Abstract. In this paper we provide a full-scale evaluation of a cluster-based architecture for P2P IR, focusing on retrieval effectiveness. We observe that there is a significant ...
We profile a system for search and analysis of largescale email archives. The system builds around four facets: Content-based search engine, statistical topic model, automaticall...
Conventional document search techniques are constrained by attempting to match individual keywords or phrases to source documents. Thus, these techniques miss out documents that co...