Title: Generating Query Suggestions to Support Task-Based Search,
Abstract: We address the problem of generating query suggestions to support users in
completing their underlying tasks (which motivated them to search in the first
place). Given an initial query, these query suggestions should provide a
coverage of possible subtasks the user might be looking for. We propose a
probabilistic modeling framework that obtains keyphrases from multiple sources
and generates query suggestions from these keyphrases. Using the test suites of
the TREC Tasks track, we evaluate and analyze each component of our model.