ACM SIGIR 2008: Thirty-first Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, July 20-24, 2008, Singapore: Proceedings
ISBN
9781605581644
Event
31st Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2008), Singapore
Pages (from-to)
811-812
Publisher
New York, NY: Association for Computing Machinery (ACM)
Organisations
Interfacultary Research - Institute for Logic, Language and Computation (ILLC)
Abstract
We analyse query length, and fit power-law and Poisson distributions to four different query sets. We provide a practical model for query length, based on the truncation of a Poisson distribution for short queries and a power-law distribution for longer queries, that better fits real query length distributions than earlier proposals.
