Cited By
View all- Jian FHuang JZhao JYing ZWang Y(2019)A topic‐based term frequency normalization framework to enhance probabilistic information retrievalComputational Intelligence10.1111/coin.1224836:2(486-521)Online publication date: 20-Nov-2019
A key component of BM25 contributing to its success is its sub linear term frequency (TF) normalization formula. The scale and shape of this TF normalization component is controlled by a parameter k1, which is generally set to a term-independent ...
The setting of the term frequency normalization hyper-parameter suffers from the query dependence and collection dependence problems, which remarkably hurt the robustness of the retrieval performance. Our study in this article investigates three term ...
Most current term frequency normalization approaches for information retrieval involve the use of parameters. The tuning of these parameters has an important impact on the overall performance of the information retrieval system. Indeed, a small ...
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