Abstract
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.
Users
Please
log in to take part in the discussion (add own reviews or comments).