Sentence examples for using a ranking function from inspiring English sources

BioTextRetriever also organizes the papers selected as relevant by the classifier using a ranking function.

The ranking factors in IR are generally combined using a ranking function to assign a score to each document.

In Task B, we developed an IR-based method to retrieve the GO term most relevant to each evidence sentence using a ranking function that combined cosine similarity and the frequency of GO terms in documents.

For the GO term prediction subtask, we developed an information retrieval-based method to retrieve the GO term most relevant to each evidence sentence using a ranking function that combined cosine similarity and the frequency of GO terms in documents, and a filtering method based on high-level GO classes.

Enrichment techniques start by using a ranking metric to reorder the expression dataset.

Next, it asks for explicit user feedback on relevant documents and uses such information to learn a ranking function by a so-called learning-to-rank algorithm RankSVM (17, 18 ).

A ranking function is used to measure relevance scores of matching files to a given query in information retrieval.

Document-document similarity values are calculated as dot products between pairs of rows in matrix D. BM25, also called Okapi BM25, is a ranking function that is widely used by search engines to rank matching documents according to their relevance to a query [34], [35].

A ranking function based on score function was proposed and the same used to solve IFLP, in which the data parameters are TIFNs.

In Prosser et al. [25] reformulated person re-identification as a ranking problem in which they learn a ranking function.

In [10] the authors propose a ranking function for the MEDLINE citations.