@phdthesis{Voelske,
  author    = {V{\"o}lske, Michael},
  title     = {Retrieval Enhancements for Task-Based Web Search},
  doi       = {10.25643/bauhaus-universitaet.3942},
  url       = {http://nbn-resolving.de/urn:nbn:de:gbv:wim2-20190709-39422},
  school      = {Bauhaus-Universit{\"a}t Weimar},
  abstract  = {The task-based view of web search implies that retrieval should take the user perspective into account. Going beyond merely retrieving the most relevant result set for the current query, the retrieval system should aim to surface results that are actually useful to the task that motivated the query. This dissertation explores how retrieval systems can better understand and support their users' tasks from three main angles: First, we study and quantify search engine user behavior during complex writing tasks, and how task success and behavior are associated in such settings. Second, we investigate search engine queries formulated as questions, and explore patterns in a large query log that may help search engines to better support this increasingly prevalent interaction pattern. Third, we propose a novel approach to reranking the search result lists produced by web search engines, taking into account retrieval axioms that formally specify properties of a good ranking.},
  subject      = {Information Retrieval},
  language  = {en}
}