IR evaluation methods for retrieving highly relevant documents
SIGIR '00 Proceedings of the 23rd annual international ACM SIGIR conference on Research and development in information retrieval
Competition between Internet Search Engines
HICSS '04 Proceedings of the Proceedings of the 37th Annual Hawaii International Conference on System Sciences (HICSS'04) - Track 8 - Volume 8
Evaluating implicit measures to improve web search
ACM Transactions on Information Systems (TOIS)
Investigating behavioral variability in web search
Proceedings of the 16th international conference on World Wide Web
Investigating the querying and browsing behavior of advanced search engine users
SIGIR '07 Proceedings of the 30th annual international ACM SIGIR conference on Research and development in information retrieval
Practical guide to controlled experiments on the web: listen to your customers not to the hippo
Proceedings of the 13th ACM SIGKDD international conference on Knowledge discovery and data mining
Defection detection: predicting search engine switching
Proceedings of the 17th international conference on World Wide Web
Enhancing web search by promoting multiple search engine use
Proceedings of the 31st annual international ACM SIGIR conference on Research and development in information retrieval
Characterizing and predicting search engine switching behavior
Proceedings of the 18th ACM conference on Information and knowledge management
Beyond DCG: user behavior as a predictor of a successful search
Proceedings of the third ACM international conference on Web search and data mining
Measuring the user experience on a large scale: user-centered metrics for web applications
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Predicting searcher frustration
Proceedings of the 33rd international ACM SIGIR conference on Research and development in information retrieval
Overlapping experiment infrastructure: more, better, faster experimentation
Proceedings of the 16th ACM SIGKDD international conference on Knowledge discovery and data mining
Predicting query performance using query, result, and user interaction features
RIAO '10 Adaptivity, Personalization and Fusion of Heterogeneous Information
Why searchers switch: understanding and predicting engine switching rationales
Proceedings of the 34th international ACM SIGIR conference on Research and development in Information Retrieval
An analysis of search engine switching behavior using click streams
WINE'05 Proceedings of the First international conference on Internet and Network Economics
Modeling long-term search engine usage
UMAP'10 Proceedings of the 18th international conference on User Modeling, Adaptation, and Personalization
Search, interrupted: understanding and predicting search task continuation
SIGIR '12 Proceedings of the 35th international ACM SIGIR conference on Research and development in information retrieval
Toward self-correcting search engines: using underperforming queries to improve search
Proceedings of the 36th international ACM SIGIR conference on Research and development in information retrieval
Evaluating and predicting user engagement change with degraded search relevance
Proceedings of the 22nd international conference on World Wide Web
From devices to people: attribution of search activity in multi-user settings
Proceedings of the 23rd international conference on World wide web
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People's experiences when interacting with online services affects their decisions on reuse. Users of Web search engines are primarily focused on obtaining relevant information pertaining to their query. Search engines that fail to satisfy users' information needs may find their market share to be negatively affected. However, despite its importance to search providers, the relationship be-tween search success and search engine reuse is poorly understood. In this paper, we present a longitudinal log-based study with a large cohort of search engine users that quantifies the relationship between success and re-use of search engines. We use time series analysis to define two groups of users: stationary and non-stationary. We find that recent changes in satisfaction rate do correlate moderately with changes in rate of return for stationary users. For non-stationary users, we find that satisfaction and rate of return change together and in the same direction. We also find that some effects are stronger for a smaller player on the market than for a clear market leader, but both are affected. This is the first study to explore these issues in the context of Web search, and our findings have implications for search providers seeking to better understand their users and improving their experience.