Abstract
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.
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These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
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Stein, B., Hagen, M. (2011). Introducing the User-over-Ranking Hypothesis. In: Clough, P., et al. Advances in Information Retrieval. ECIR 2011. Lecture Notes in Computer Science, vol 6611. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-20161-5_50
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DOI: https://doi.org/10.1007/978-3-642-20161-5_50
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-20160-8
Online ISBN: 978-3-642-20161-5
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