Alan Medlar
Abstract
Exploratory searches are open-ended search tasks where users are learning, investigating or otherwise trying to acquire new knowledge. Exploratory search encapsulates many common search activities, such as conducting a scientific literature review or planning a vacation. However, few information retrieval systems are capable of distinguishing exploratory search from traditional lookup search and, therefore, cannot provide adaptive support for both scenarios. In this article, we briefly outline the behavioural differences between users performing exploratory search and lookup search, and describe how search engines can use this information to transparently tailor search results to support both types of search task.
- Athukorala, K., Glowacka, D., Jacucci, G., Oulasvirta, A., and Vreeken, J. 2016. Is exploratory search different? a comparison of information search behavior for exploratory and lookup tasks. Journal of the Association for Information Science and Technology 67, 11, 2635--2651.Google Scholar
Digital Library
- Athukorala, K., Medlar, A., Ilves, K., and Glowacka, D. 2015. Balancing exploration and exploitation: Empirical parameterization of exploratory search systems. In Proceedings of the 24th ACM International on Conference on Information and Knowledge Management. ACM, 1703--1706.Google Scholar
- Athukorala, K., Medlar, A., Oulasvirta, A., Jacucci, G., and Glowacka, D. 2016. Beyond relevance: Adapting exploration/exploitation in information retrieval. In Proceedings of the 21st International Conference on Intelligent User Interfaces. ACM, 359--369.Google Scholar
- Marchionini, G. 2006. Exploratory search: from finding to understanding. Communications of the ACM 49, 4, 41--46.Google ScholarDigital Library
- Medlar, A. and Glowacka, D. 2018. How consistent is relevance feedback in exploratory search? In Proceedings of the 27th ACM International Conference on Information and Knowledge Management. ACM, 1615--1618.Google Scholar
- Medlar, A., Ilves, K., Wang, P., Buntine, W., and Glowacka, D. 2016. PULP: A system for exploratory search of scientific literature. In Proceedings of the 39th International ACM SIGIR conference on Research and Development in Information Retrieval. ACM, 1133--1136.Google Scholar
- Medlar, A., Pyykkö, J., and Glowacka, D. 2017. Towards fine-grained adaptation of exploration/exploitation in information retrieval. In Proceedings of the 22nd International Conference on Intelligent User Interfaces. ACM, 623--627.Google Scholar
Recommendations
User rankings of search engine results
In this study, we investigate the similarities and differences between rankings of search results by users and search engines. Sixty-seven students took part in a 3-week-long experiment, during which they were asked to identify and rank the top 10 ...
Comments