ACM SIGIR Forum
Learning to find answers to questions on the Web
ACM Transactions on Internet Technology (TOIT)
An analysis of the AskMSR question-answering system
EMNLP '02 Proceedings of the ACL-02 conference on Empirical methods in natural language processing - Volume 10
An exploration of the principles underlying redundancy-based factoid question answering
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
A field study characterizing Web-based information-seeking tasks
Journal of the American Society for Information Science and Technology
Yago: a core of semantic knowledge
Proceedings of the 16th international conference on World Wide Web
Studying the use of popular destinations to enhance web search interaction
SIGIR '07 Proceedings of the 30th annual international ACM SIGIR conference on Research and development in information retrieval
Information Foraging Theory: Adaptive Interaction with Information
Information Foraging Theory: Adaptive Interaction with Information
Good abandonment in mobile and PC internet search
Proceedings of the 32nd international ACM SIGIR conference on Research and development in information retrieval
Open information extraction from the web
IJCAI'07 Proceedings of the 20th international joint conference on Artifical intelligence
The anatomy of a large-scale social search engine
Proceedings of the 19th international conference on World wide web
Exploring iterative and parallel human computation processes
Proceedings of the ACM SIGKDD Workshop on Human Computation
Soylent: a word processor with a crowd inside
UIST '10 Proceedings of the 23nd annual ACM symposium on User interface software and technology
Understanding and predicting personal navigation
Proceedings of the fourth ACM international conference on Web search and data mining
Addressing people's information needs directly in a web search result page
Proceedings of the 20th international conference on World wide web
Visual challenges in the everyday lives of blind people
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Perception and understanding of social annotations in web search
Proceedings of the 22nd international conference on World Wide Web
Chorus: a crowd-powered conversational assistant
Proceedings of the 26th annual ACM symposium on User interface software and technology
Slow Search: Information Retrieval without Time Constraints
Proceedings of the Symposium on Human-Computer Interaction and Information Retrieval
Lessons from the journey: a query log analysis of within-session learning
Proceedings of the 7th ACM international conference on Web search and data mining
Joint question clustering and relevance prediction for open domain non-factoid question answering
Proceedings of the 23rd international conference on World wide web
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Web search engines now offer more than ranked results. Queries on topics like weather, definitions, and movies may return inline results called answers that can resolve a searcher's information need without any additional interaction. Despite the usefulness of answers, they are limited to popular needs because each answer type is manually authored. To extend the reach of answers to thousands of new information needs, we introduce Tail Answers: a large collection of direct answers that are unpopular individually, but together address a large proportion of search traffic. These answers cover long-tail needs such as the average body temperature for a dog, substitutes for molasses, and the keyboard shortcut for a right-click. We introduce a combination of search log mining and paid crowdsourcing techniques to create Tail Answers. A user study with 361 participants suggests that Tail Answers significantly improved users' subjective ratings of search quality and their ability to solve needs without clicking through to a result. Our findings suggest that search engines can be extended to directly respond to a large new class of queries.