Data Stream Analysis for Location-Aware Collaborative Information Retrieval

Abstract. We propose a new approach for enhancing collaborative information retrieval by means of incorporating positional data for a location-aware personalized retrieval process. In our framework, the collaboration between users will be established by building communities based on matching user attributes in a uniform user model. This allows for incorporating automated intra-community collaboration into the retrieval process. In addition, continuously changing location-based similarity measures are employed with respect to queries posed using mobile devices in order to enhance the quality of the community dependent answer rankings. The consideration of continuously arriving user positions, however, leads to a high-frequency stream of data. For the efficient processing and analysis of this stream, incremental data stream processing techniques are employed. Our interdisciplinary approach incorporates both techniques from information retrieval and data stream processing to achieve an ex...

• Type: Conference
• Year: 2008
• Where: ADBIS
• Authors: Andreas Behrend, Frank Reichartz, Christian Dorau, Rainer Manthey
• Keywords: ADBIS 2008, Data Stream Processing, Database, Information Retrieval, Retrieval Process