Open AccessThe cluster hypothesis for entity oriented search
Author(s) -
Hadas Raviv,
Oren Kurland,
David Carmel
Publication year - 2013
Publication title -
proceedings of the 45th international acm sigir conference on research and development in information retrieval
Language(s) - English
Resource type - Conference proceedings
DOI - 10.1145/2484028.2484128
Subject(s) - computer science , cluster (spacecraft) , information retrieval , similarity (geometry) , data mining , artificial intelligence , image (mathematics) , programming language
In this work we study the cluster hypothesis for entity oriented search (EOS). Specifically, we show that the hypothesis can hold to a substantial extent for several entity similarity measures. We also demonstrate the retrieval effectiveness merits of using clusters of similar entities for EOS.
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