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Concavity in IR Models

St├ęphane Clinchant
We study the impact of concavity in IR models and propose to use a generalized logarithm function, the -logarithm to weight words in documents. We extend the family of infor- mation based Information Retrieval (IR) models with this function. We show that that concavity is indeed an impor- tant property of IR models. Experiments conducted for IR tasks, Latent Semantic Indexing and Text Categorization show improvements.
CIKM, Sheraton, Maui Hawaii, Oct 29-Nov 2, 2012.
2012
2012/079