Bache, R. and Baillie, M. and Crestani, F. (2009) Measuring the likelihood property of scoring functions in general retrieval models. Journal of the American Society for Information Science and Technology, 60 (6). pp. 1294-1297.Full text not available in this repository. (Request a copy from the Strathclyde author)
Although retrieval systems based on probabilistic models will rank the objects (e.g., documents) being retrieved according to the probability of some matching criterion (e.g., relevance), they rarely yield an actual probability, and the scoring function is interpreted to be purely ordinal within a given retrieval task. In this brief communication, it is shown that some scoring functions possess the likelihood property, which means that the scoring function indicates the likelihood of matching when compared to other retrieval tasks, which is potentially more useful than pure ranking although it cannot be interpreted as an actual probability. This property can be detected by using two modified effectiveness measures: entire precision and entire recall.
|Keywords:||information retrieval, probability, probabilistic models, retrieval systems, Library Science. Information Science, Artificial Intelligence, Software, Computer Networks and Communications, Information Systems, Human-Computer Interaction|
|Subjects:||Bibliography. Library Science. Information Resources > Library Science. Information Science|
|Department:||Faculty of Science > Computer and Information Sciences|
|Depositing user:||Pure Administrator|
|Date Deposited:||22 Aug 2011 13:29|
|Last modified:||22 Mar 2017 11:32|