Analysis of a very large web search engine query log
ACM SIGIR Forum
Journal of the American Society for Information Science and Technology
Searching the Web: the public and their queries
Journal of the American Society for Information Science and Technology
Journal of the American Society for Information Science
Journal of the American Society for Information Science and Technology
ACM SIGIR Forum
Semantic similarity between search engine queries using temporal correlation
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InfoScale '06 Proceedings of the 1st international conference on Scalable information systems
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Proceedings of the 31st annual international ACM SIGIR conference on Research and development in information retrieval
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CIARP '08 Proceedings of the 13th Iberoamerican congress on Pattern Recognition: Progress in Pattern Recognition, Image Analysis and Applications
Mining term association patterns from search logs for effective query reformulation
Proceedings of the 17th ACM conference on Information and knowledge management
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Proceedings of the 17th ACM conference on Information and knowledge management
Beyond the session timeout: automatic hierarchical segmentation of search topics in query logs
Proceedings of the 17th ACM conference on Information and knowledge management
ACM SIGIR Forum
Analysis of long queries in a large scale search log
Proceedings of the 2009 workshop on Web Search Click Data
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Information Sciences: an International Journal
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Proceedings of the 8th International Conference on Interaction Design and Children
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Proceedings of the 32nd international ACM SIGIR conference on Research and development in information retrieval
Reducing long queries using query quality predictors
Proceedings of the 32nd international ACM SIGIR conference on Research and development in information retrieval
Analyzing and evaluating query reformulation strategies in web search logs
Proceedings of the 18th ACM conference on Information and knowledge management
Mining linguistic cues for query expansion: applications to drug interaction search
Proceedings of the 18th ACM conference on Information and knowledge management
The intention behind web queries
SPIRE'06 Proceedings of the 13th international conference on String Processing and Information Retrieval
Query phrase suggestion from topically tagged session logs
FQAS'06 Proceedings of the 7th international conference on Flexible Query Answering Systems
Clash of the typings: finding controversies and children's topics within queries
ECIR'11 Proceedings of the 33rd European conference on Advances in information retrieval
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Proceedings of the 34th international ACM SIGIR conference on Research and development in Information Retrieval
What and how children search on the web
Proceedings of the 20th ACM international conference on Information and knowledge management
Personalizing web search results by reading level
Proceedings of the 20th ACM international conference on Information and knowledge management
Vertical selection in the information domain of children
Proceedings of the 13th ACM/IEEE-CS joint conference on Digital libraries
Specifics of information retrieval for young users: A survey
Information Processing and Management: an International Journal
Estimating the breadth of search queries
Proceedings of the 10th Conference on Open Research Areas in Information Retrieval
Analysis of Search and Browsing Behavior of Young Users on the Web
ACM Transactions on the Web (TWEB)
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Query logs contain valuable information about the behavior, interests, and preferences of the users. The analysis of this information can give insight in their interaction and search behavior. In this paper, we analyze queries and groups of queries intended to find information that is suitable for children by using a large-scale query log. The aim of the analysis it twofold: (i) To identify differences in the query space, content space, user sessions, and user click behavior. (ii) To enhance the query log by including annotations of queries, sessions and actions. The paper presents plans to use this resource for further research on information retrieval for children. We found statistically significant differences between the set of general purpose queries, and the set of children queries. We show that many of these differences are consistent with small-scale research studies in which children were observed while using web search engines.