Information search and re-access strategies of experienced web users
WWW '05 Proceedings of the 14th international conference on World Wide Web
Accurately interpreting clickthrough data as implicit feedback
Proceedings of the 28th annual international ACM SIGIR conference on Research and development in information retrieval
Off the beaten tracks: exploring three aspects of web navigation
Proceedings of the 15th international conference on World Wide Web
Relevance and Impact of Tabbed Browsing Behavior on Web Usage Mining
WI '06 Proceedings of the 2006 IEEE/WIC/ACM International Conference on Web Intelligence
Not quite the average: An empirical study of Web use
ACM Transactions on the Web (TWEB)
An experimental comparison of click position-bias models
WSDM '08 Proceedings of the 2008 International Conference on Web Search and Data Mining
Web search strategies: The influence of Web experience and task type
Information Processing and Management: an International Journal
Exploring multi-session web tasks
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
A user browsing model to predict search engine click data from past observations.
Proceedings of the 31st annual international ACM SIGIR conference on Research and development in information retrieval
Beyond the session timeout: automatic hierarchical segmentation of search topics in query logs
Proceedings of the 17th ACM conference on Information and knowledge management
A dynamic bayesian network click model for web search ranking
Proceedings of the 18th international conference on World wide web
Click chain model in web search
Proceedings of the 18th international conference on World wide web
How are we searching the World Wide Web? A comparison of nine search engine transaction logs
Information Processing and Management: an International Journal - Special issue: Formal methods for information retrieval
Multitasking during Web search sessions
Information Processing and Management: an International Journal - Special issue: Formal methods for information retrieval
Inferring search behaviors using partially observable Markov (POM) model
Proceedings of the third ACM international conference on Web search and data mining
Beyond DCG: user behavior as a predictor of a successful search
Proceedings of the third ACM international conference on Web search and data mining
A study of tabbed browsing among mozilla firefox users
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Stochastic models for tabbed browsing
Proceedings of the 19th international conference on World wide web
Parallel browsing behavior on the web
Proceedings of the 21st ACM conference on Hypertext and hypermedia
Agents, bookmarks and clicks: a topical model of web navigation
Proceedings of the 21st ACM conference on Hypertext and hypermedia
Incorporating post-click behaviors into a click model
Proceedings of the 33rd international ACM SIGIR conference on Research and development in information retrieval
Learning click models via probit bayesian inference
CIKM '10 Proceedings of the 19th ACM international conference on Information and knowledge management
Inferring search behaviors using partially observable markov model with duration (POMD)
Proceedings of the fourth ACM international conference on Web search and data mining
Measuring web page revisitation in tabbed browsing
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Analysis of Search and Browsing Behavior of Young Users on the Web
ACM Transactions on the Web (TWEB)
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Today's Web browsers allow users to open links in new windows or tabs. This action, which we call 'branching', is sometimes performed on search results when the user plans to eventually visit multiple results. We detect branching behavior on a large commercial search engine with a client-side script on the results page. Two-fifths of all users spawned new tabs on search results in the timeframe of our study; branching usage varied with different query types and vertical. Both branching and backtracking are viable methods for visiting multiple search results. To understand user search strategies, we treat multiple result clicks following a query as ordered events to understand user search strategies. Users branching in a query are more likely to click search results from top to bottom, while users who backtrack are less likely to do so; this is especially true for queries involving more than two clicks. These findings inform an experiment in which we take a popular click model and modify it to account for the differing user behavior when branching. By understanding that users continue examining search results before viewing a branched result, we can improve the click model for branching queries.