Sentence examples for information retrieval model from inspiring English sources

In this paper, an adaptive fuzzy logic-based information retrieval model is presented to enable users retrieve exact and specific information they sort after.

VSM is a classical information retrieval model to process documents and to quantify their similarities.

In addition, writer identification has been performed by a textual-based information retrieval model.

Therefore, this article puts forward an e-government information retrieval model based on the metadata.

Instead of a keyword-driven experience we are used to with Google, Forethought uses an information retrieval model driven by artificial intelligence underpinnings that they then embed directly into the workflow, company co-founder and CEO Deon Nicholas told TechCrunch.

The main goal of the paper is to describe a distributed information retrieval model deployed in order to enable the different functionalities needed for the enrichment of a document.

For example, figure ranking may be incorporated into multi-weighted field information retrieval models (e.g., BM25 [26]), and information extraction (e.g., protein-protein interaction) where higher confidence may be assigned to the events supported by the strongest evidence.

These have all been used previously in information retrieval to model information about the occurrences of textual keywords, but have been modified here to model information about the occurrences of substructural fragments.

LSA (latent semantic analysis) [17] (or LSI) was a new information retrieval algebraic model put forward by S.T. Dumais et al. in 1988.

It is commonly used to LSI (latent semantic index) [17] and PCA. 1. Latent semantic analysis LSA (latent semantic analysis) [17] (or LSI) was a new information retrieval algebraic model put forward by S.T. Dumais et al. in 1988.

Some recent static techniques for automatic bug localization have been built around modern information retrieval (IR) models such as latent semantic indexing (LSI).