Advantages of query biased summaries in information retrieval
Proceedings of the 21st annual international ACM SIGIR conference on Research and development in information retrieval
Query clustering using user logs
ACM Transactions on Information Systems (TOIS)
Implicit feedback for inferring user preference: a bibliography
ACM SIGIR Forum
Learning to find answers to questions on the Web
ACM Transactions on Internet Technology (TOIT)
Evaluating implicit measures to improve web search
ACM Transactions on Information Systems (TOIS)
An exploration of the principles underlying redundancy-based factoid question answering
ACM Transactions on Information Systems (TOIS)
Evaluating the accuracy of implicit feedback from clicks and query reformulations in Web search
ACM Transactions on Information Systems (TOIS)
What are you looking for?: an eye-tracking study of information usage in web search
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Information re-retrieval: repeat queries in Yahoo's logs
SIGIR '07 Proceedings of the 30th annual international ACM SIGIR conference on Research and development in information retrieval
Bypass rates: reducing query abandonment using negative inferences
Proceedings of the 14th ACM SIGKDD international conference on Knowledge discovery and data mining
How does clickthrough data reflect retrieval quality?
Proceedings of the 17th ACM conference on Information and knowledge management
PSkip: estimating relevance ranking quality from web search clickthrough data
Proceedings of the 15th ACM SIGKDD international conference on Knowledge discovery and data mining
Good abandonment in mobile and PC internet search
Proceedings of the 32nd 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
A model to estimate intrinsic document relevance from the clickthrough logs of a web search engine
Proceedings of the third ACM international conference on Web search and data mining
Large scale query log analysis of re-finding
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
Predicting searcher frustration
Proceedings of the 33rd international ACM SIGIR conference on Research and development in information retrieval
Evaluating search systems using result page context
Proceedings of the third symposium on Information interaction in context
Interpreting user inactivity on search results
ECIR'2010 Proceedings of the 32nd European conference on Advances in Information Retrieval
Click the search button and be happy: evaluating direct and immediate information access
Proceedings of the 20th ACM international conference on Information and knowledge management
Answering math queries with search engines
Proceedings of the 21st international conference companion on World Wide Web
Scalable, flexible and generic instant overview search
Proceedings of the 21st international conference companion on World Wide Web
Good abandonments in factoid queries
Proceedings of the 21st international conference companion on World Wide Web
Potential good abandonment prediction
Proceedings of the 21st international conference companion on World Wide Web
Direct answers for search queries in the long tail
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Learning to suggest: a machine learning framework for ranking query suggestions
SIGIR '12 Proceedings of the 35th international ACM SIGIR conference on Research and development in information retrieval
How query extensions reflect search result abandonments
SIGIR '12 Proceedings of the 35th international ACM SIGIR conference on Research and development in information retrieval
Leaving so soon?: understanding and predicting web search abandonment rationales
Proceedings of the 21st ACM international conference on Information and knowledge management
Unsupervised approach to generate informative structured snippets for job search engines
Proceedings of the 22nd international conference on World Wide Web companion
TellMyRelevance!: predicting the relevance of web search results from cursor interactions
Proceedings of the 22nd ACM international conference on Conference on information & knowledge management
Efficient parsing-based search over structured data
Proceedings of the 22nd ACM international conference on Conference on information & knowledge management
Slow Search: Information Retrieval without Time Constraints
Proceedings of the Symposium on Human-Computer Interaction and Information Retrieval
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Web search engines have historically focused on connecting people with information resources. For example, if a person wanted to know when their flight to Hyderabad was leaving, a search engine might connect them with the airline where they could find flight status information. However, search engines have recently begun to try to meet people's search needs directly, providing, for example, flight status information in response to queries that include an airline and a flight number. In this paper, we use large scale query log analysis to explore the challenges a search engine faces when trying to meet an information need directly in the search result page. We look at how people's interaction behavior changes when inline content is returned, finding that such content can cannibalize clicks from the algorithmic results. We see that in the absence of interaction behavior, an individual's repeat search behavior can be useful in understanding the content's value. We also discuss some of the ways user behavior can be used to provide insight into when inline answers might better trigger and what types of additional information might be included in the results.