Using Noun Phrase Heads to Extract Document Keyphrases
AI '00 Proceedings of the 13th Biennial Conference of the Canadian Society on Computational Studies of Intelligence: Advances in Artificial Intelligence
InfoScale '06 Proceedings of the 1st international conference on Scalable information systems
Discovering key concepts in verbose queries
Proceedings of the 31st annual international ACM SIGIR conference on Research and development in information retrieval
Adapting information retrieval systems to user queries
Information Processing and Management: an International Journal
Regression Rank: Learning to Meet the Opportunity of Descriptive Queries
ECIR '09 Proceedings of the 31th European Conference on IR Research on Advances in Information Retrieval
Evaluating verbose query processing techniques
Proceedings of the 33rd international ACM SIGIR conference on Research and development in information retrieval
Exploring reductions for long web queries
Proceedings of the 33rd international ACM SIGIR conference on Research and development in information retrieval
The power of naive query segmentation
Proceedings of the 33rd international ACM SIGIR conference on Research and development in information retrieval
Faceted Search
Capacity-constrained query formulation
ECDL'10 Proceedings of the 14th European conference on Research and advanced technology for digital libraries
Making the Most of a Web Search Session
WI-IAT '10 Proceedings of the 2010 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology - Volume 01
Applying the user-over-ranking hypothesis to query formulation
ICTIR'11 Proceedings of the Third international conference on Advances in information retrieval theory
Candidate document retrieval for web-scale text reuse detection
SPIRE'11 Proceedings of the 18th international conference on String processing and information retrieval
The impact of spelling errors on patent search
EACL '12 Proceedings of the 13th Conference of the European Chapter of the Association for Computational Linguistics
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The User-over-Ranking hypothesis states that rather the user herself than a web search engine's ranking algorithm can help to improve retrieval performance. The means are longer queries that provide additional keywords. Readers who take this hypothesis for granted should recall the fact that virtually no user and none of the search index providers consider its implications. For readers who feel insecure about the claim, our paper gives empirical evidence.