Maxwell, D., Azzopardi, L., Järvelin, K. and Keskustalo, H. (2015) An Initial Investigation into Fixed and Adaptive Stopping Strategies. [Data Collection]
Related Enlighten Publications
Collection description
Most models, measures and simulations often assume that a searcher will stop at a predetermined place in a ranked list of results. However, during the course of a search session, real-world searchers will vary and adapt their interactions with a ranked list. These interactions depend upon a variety of factors, including the content and quality of the results returned, and the searcher's information need. In this paper, we perform a preliminary simulated analysis into the influence of stopping strategies when query quality varies. Placed in the context of ad-hoc topic retrieval during a multi-query search session, we examine the influence of fixed and adaptive stopping strategies on overall performance. Surprisingly, we find that a fixed strategy can per- form as well as the examined adaptive strategies, but the fixed depth needs to be adjusted depending on the querying strategy used. Further work is required to explore how well the stopping strategies affect actual search behaviour, and to determine whether one stopping strategy is dominant.
| College / School: | College of Science and Engineering > School of Computing Science |
|---|---|
| Date Deposited: | 03 Jun 2015 10:33 |
| Enlighten Publications URL: | http://eprints.gla.ac.uk/106759/ |
| URI: | https://researchdata.gla.ac.uk/id/eprint/169 |
Available Files
There are no files for this dataset available to download.
Repository Staff Only: Update this record