InfoScale '06 Proceedings of the 1st international conference on Scalable information systems
Automatic extraction of clickable structured web contents for name entity queries
Proceedings of the 19th international conference on World wide web
Building taxonomy of web search intents for name entity queries
Proceedings of the 19th international conference on World wide web
An IR-based evaluation framework for web search query segmentation
SIGIR '12 Proceedings of the 35th international ACM SIGIR conference on Research and development in information retrieval
Role-explicit query identification and intent role annotation
Proceedings of the 21st ACM international conference on Information and knowledge management
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With fast changing information needs in today's world, it is imperative that search engines precisely understand and exploit temporal changes in Web queries. In this work, we look at shifts in preferred positions of segments in queries over an interval of four years. We find that such shifts can predict key changes in usage patterns, and explain the observed increase in query lengths. Our findings indicate that recording positional statistics can be vital for understanding user intent in Web search queries.