Year: 2014
Type: dissertation
Abstract: One of the standard features of today’s major Web search engines are query suggestions, which aid the user in the formulation of their search queries. Over the years, a number of different approaches have been proposed that have com- monly been evaluated in the standard Web search setting. In this thesis, we build a query suggestion pipeline based on query log data collected from a more con- strained environment which, though also large-scale, differs considerably from standard Web search with respect to its users, indexing process and Web cover- age. We implement a number of suggestion approaches based on query-flow and term-query graph models and investigate the extend to which we can replicate the results in the literature in this more constraint environment. In the process, we investigate the implementability and replicability of published Web-based query-log approaches and experiments. We find that it is possible to apply the query suggestion techniques to a constrained environment, but a trade-off be- tween suggestion usefulness and query coverage is introduced when considering suggestion effectiveness.
Author: Dirk Guijt
Language: English
Subfield: Information Systems
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W336157387