C2: A flexible approach applicable to multilingual and task-driven search
applications.
The proposed approach of feature vectors (FVs) can be applied to a variety of
different search applications. In this thesis, we have explored the use of FVs in
three different search applications. In paper P7, we proposed a cross-lingual
information retrieval approach where a set of query terms with related concepts
is translated into a different language by utilising FVs. While in paper P8, we
proposed a scenario-driven information retrieval approach to improve task
related information retrieval that required the tailoring of FVs to provide
increased quality of search results. Third, and the main approach (paper P6), was
a proposed Web search application utilising FVs to disambiguate search and
hence improve the precision of the search results.