The impact of collection size on relevance and diversity

Authors
Publication date 2010
Host editors
  • H.-H. Chen
  • E.N. Efthimiadis
  • J. Savoy
  • F. Crestani
  • S. Marchand-Maillet
Book title SIGIR 2010: proceedings: 33rd Annual International ACM SIGIR Conference on Research and Development in Information Retrieval: Geneva, Switzerland, July 19-23, 2010
ISBN
  • 9781450301534
Event 33rd Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2010), Geneva, Switzerland
Pages (from-to) 727-728
Publisher New York, NY: Association for Computing Machinery
Organisations
  • Interfacultary Research - Institute for Logic, Language and Computation (ILLC)
Abstract
It has been observed that precision increases with collection size. One explanation could be that the redundancy of information increases, making it easier to find multiple documents conveying the same information. Arguably, a user has no interest in reading the same information over and over, but would prefer a set of diverse search results covering multiple aspects of the search topic. In this paper, we look at the impact of the collection size on the relevance and diversity of retrieval results by down-sampling the collection.
Our main finding is that we can we can improve diversity by randomly removing the majority of the results--this will significantly reduce the redundancy and only marginally affect the subtopic coverage.
Document type Conference contribution
Language English
Published at https://doi.org/10.1145/1835449.1835586
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