منابع مشابه
Term Weighting Using Term Dependence
Performance of an information retrieval system depends on its weighting scheme. Weighting of a term can be seen in two aspects, local and global. For each type of weighting scheme, generally, single terms are considered. Term dependency is quite natural in a document. Word pairs or phrases can better describe a document in place of single terms. In the present paper an attempt has been made to ...
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Recent work has achieved promising retrieval performance using distance between term occurrences as a primary estimator of document relevance. A major bene t of this approach is that relevance scoring does not rely on collection frequency statistics. A theoretical framework for lexical spans is now proposed which encompasses these approaches and suggests a number of important directions for fut...
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Our system used an empirical method for estimating term weights directly from relevance judgements, avoiding various standard but potentially troublesome assumptions. It is common to assume, for example, that weights vary with term frequency ( ) and inverse document frequency ( ) in a particular way, e.g., , but the fact that there are so many variants of this formula in the literature suggests...
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Traditional retrieval models compute term weights based on only the information related to individual terms such as TF and IDF. However, query terms are related. Intuitively, these relations could provide useful information about the importance of a term in the context of other query terms. For example, query “perl tutorial” specifies that a user look for information relevant to both perl and t...
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ژورنال
عنوان ژورنال: International Journal of Computer Applications
سال: 2010
ISSN: 0975-8887
DOI: 10.5120/785-1113