We study common query intentions in a software developer network with more than one million users. Based on a large query log analysis we could identify typical search intentions and identify common entities. For resolving most frequent query intentions and to identify entities and relationships from relevant pages we recommend state-of-the-art information extraction technologies.
Alexander Löser, Wojciech M. Barczynski, Falk