MEPO Forum - Information Retrieval
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Fri, 02 Oct 2020 06:25:56 +0800Phorum 5.2.7http://mepopedia.com/forum/read.php?661,10368,10368#msg-10368The Assumption (Probabilisitic Principle) of the Probabilistic Model of IR
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Assumption (Probabilistic Principle) Given a user query q and a document dj in the collection, the probabilisitc model tries to estimate the probability that the user will find the document dj interesting (i.e., relevant). The model assumes that this probability of relevance depends on the query and the document representations only. Further, the model assumes that there is a subset of all documents which the user prefers as the answer set for the query q. Such an ideal answer set is labeled R and should maximize the overall probability of relevance to the user. Documents in the set R are predicted to be relevant to the query. Documents not in this set are predicted to be non-relevant.

(Quoted from Modern Information Retrieval, 1999.)]]>HPInformation RetrievalThu, 06 Jan 2011 00:17:03 +0800http://mepopedia.com/forum/read.php?661,9885,9885#msg-9885Inference Network Model (a paragraph quote)
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Modern Information Retrieval (1999):

The two most traditional schools of thought in probability are based on the frequentist view and and the epistemological view. The frequentist view takes probability as a statistical notion to the laws of chance. The epistemological view interprets probability as a degree of belief whose specification might be devoid of statistical experimentation. This second viewpoint is important because we frequently refer to probabilities in our daily lives without a clear definition of the statistical experiment which yielded those probabilities.]]>HPInformation RetrievalWed, 15 Dec 2010 00:03:08 +0800