Matches in ScholarlyData for { <https://w3id.org/scholarlydata/inproceedings/www2012/paper/219> ?p ?o. }
Showing items 1 to 14 of
14
with 100 items per page.
- 219 creator katsumi-tanaka.
- 219 creator makoto-p-kato.
- 219 creator tetsuya-sakai.
- 219 type InProceedings.
- 219 label "Structured Query Suggestion for Specialization and Parallel Movement: Effect on Search Behaviors".
- 219 sameAs 219.
- 219 abstract "Query suggestion, which enables the user to revise a query with a single click, has become one of the most fundamental features of Web search engines. However, it is often difficult for the user to choose from a list of query suggestions, and to understand the relation between an input query and suggested ones. In this paper, we propose a new method to present query suggestions to the user, which has been designed to help two popular query reformulation actions, namely, specialization (e.g. from ``nikon'' to ``nikon camera'') and parallel movement (e.g. from ``nikon camera'' to ``canon camera''). Using a query log collected from a popular commercial Web search engine, our prototype called SParQS classifies query suggestions into automatically generated categories and generates a label for each category. Moreover, SParQS presents some new entities as alternatives to the original query (e.g. ``canon'' in response to the query ``nikon''), together with their query suggestions classified in the same way as the original query’s suggestions. We conducted a task-based user study to compare SParQS with a traditional ``flat list'' query suggestion interface. Our results show that the SParQS interface enables subjects to search more successfully than the flat list case, despite query suggestions presented were exactly the same in the two interfaces. In addition, the subjects found the query suggestions more helpful when they were presented in the SParQS interface rather than in a flat list.".
- 219 hasAuthorList authorList.
- 219 isPartOf proceedings.
- 219 keyword "Query log mining".
- 219 keyword "Query suggestion".
- 219 keyword "Search user interface".
- 219 keyword "Web search".
- 219 title "Structured Query Suggestion for Specialization and Parallel Movement: Effect on Search Behaviors".