Interactive search support for difficult web queries

Authors:
Abdigani Diriye;Giridhar Kumaran;Jeff Huang
Affiliations:
University College London Interaction Centre, University College London, UK;Microsoft Corporation, Redmond, WA;Information School, University of Washington
Venue:
ECIR'12 Proceedings of the 34th European conference on Advances in Information Retrieval
Year:
2012

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Abstract

Short and common web queries are aptly supported by state-of-the-art search engines but performance and user experience are degraded when web queries are longer and less common. Extending previous solutions that automatically shorten queries, we introduce searchAssist: a novel search interface that provides interactive support for difficult web queries. The query logs and questionnaires from a naturalistic study of 90 web users' search behaviors show that the usage rate of searchAssist for difficult queries was almost 40%. The results also highlight the importance of term dropping for long queries, and the improvements obtained in topical relevance when our searchers used searchAssist.