# Interpreting TF-IDF term weights as making relevance decisions

@article{Wu2008InterpretingTT, title={Interpreting TF-IDF term weights as making relevance decisions}, author={Ho Chung Wu and Robert Wing Pong Luk and Kam-Fai Wong and Kui-Lam Kwok}, journal={ACM Trans. Inf. Syst.}, year={2008}, volume={26}, pages={13:1-13:37} }

A novel probabilistic retrieval model is presented. [... ] Key Method Our novel retrieval model is simplified to a basic ranking formula that directly corresponds to the TF-IDF term weights. In general, we show that the term-frequency factor of the ranking formula can be rendered into different term-frequency factors of existing retrieval systems. In the basic ranking formula, the remaining quantity - log p(&rmacr;|t ∈ d) is interpreted as the probability of randomly picking a nonrelevant usage (denoted by… Expand

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