A New Probabilistic Ranking Model

Richard Connor, Robert Moss, Morgan Harvey

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

1 Citation (Scopus)

Abstract

Over the years a number of models have been introduced as solutions to the central IR problem of ranking documents given textual queries. Here we define another new model. It is a probabilistic model and has no term inter-dependencies, thus allowing calculation from inverted indices. It is based upon a simple core hypothesis, directly calculating a ranking score in terms of probability theory. Early results show that its performance is credible, even in the absence of parameters or heuristics. Its semantic basis gives absolute results, allowing different rankings to be compared with each other. The investigation of this model is at a very early stage; here, we simply propose the model for further investigation.
Original languageEnglish
Title of host publicationProceedings of the 2013 Conference on the Theory of Information Retrieval
Place of PublicationNew York
PublisherACM
Pages23
ISBN (Print)978-1-4503-2107-5
DOIs
Publication statusPublished - 2013
EventInternational Conference on the Theory of Information Retrieval, {ICTIR} '13, Copenhagen, Denmark, September 29 - October 02, 2013 -
Duration: 1 Jan 2013 → …

Conference

ConferenceInternational Conference on the Theory of Information Retrieval, {ICTIR} '13, Copenhagen, Denmark, September 29 - October 02, 2013
Period1/01/13 → …

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