A software agent for performance improvement of existing information retrieval systems
IUI '99 Proceedings of the 4th international conference on Intelligent user interfaces
Real life, real users, and real needs: a study and analysis of user queries on the web
Information Processing and Management: an International Journal
Managing Gigabytes: Compressing and Indexing Documents and Images
Managing Gigabytes: Compressing and Indexing Documents and Images
Coverage, relevance, and ranking: The impact of query operators on Web search engine results
ACM Transactions on Information Systems (TOIS)
Seeking and implementing automated assistance during the search process
Information Processing and Management: an International Journal
Information Processing and Management: an International Journal
Gender demographic targeting in sponsored search
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
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Advanced information retrieval systems providing automated assistance offer the opportunity to greatly enhance the effectiveness of the information retrieval process. One issue in designing such systems is determining the effect that the automated assistance has on the tasks and sequence of tasks within this process. Using verbal protocol data and transaction log analysis, we present a taxonomy of tasks when utilizing information retrieval systems with automated assistance, along with a temporal analysis of when interaction with the automated assistance occurs. Results indicate that there is a predictable pattern of user interaction with automated assistance with implications for the design of information retrieval systems.