Classical IR Ranking based on document's content
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It describes key issues in document ranking techniques based on the vector space model. Several TF*IDF variants are discussed. The cosine measure, recall and precision are introduced. [PS format]
A Chapter in a book which introduces probabilistic retrieval.
"Ranking Algorithms" is chapter 14 in the Frakes and Baeza-Yates book. It gives a good discussion of the tradeoffs and choices among different term-weighting strategies.
It describes key issues in document ranking techniques based on the vector space model. Several TF*IDF variants are discussed. The cosine measure, recall and precision are introduced. [PS format]
A Chapter in a book which introduces probabilistic retrieval.
"Ranking Algorithms" is chapter 14 in the Frakes and Baeza-Yates book. It gives a good discussion of the tradeoffs and choices among different term-weighting strategies.
