Sentence examples for relevance of documents from inspiring English sources

He finds that users wish for greater interactive opportunities to determine for themselves the potential relevance of documents, and that a parts-of-document approach is preferable for many information retrieval situations.

We created a corpus of 450 judgments that identify on a four-point scale the relevance of documents to reactions randomly selected from a set of four PANTHER DB pathways and used it to evaluate simple ranking heuristics, advanced heuristics informed by evaluation of the training set and three machine learning-based ranking methods.

Ground truth test collections for the evaluation of document retrieval systems have sets of queries and documents for which human experts have judged the relevance of document query pairs.

Prior to the evaluation of our approach, we conducted an Information Gain (IG) analysis ([Mitchell 1997]) in order to assess the importance of interest indicators for inferring relevance labels of documents for each user.

To address this task, we manually annotated reaction-document pairs with the relevance of the documents to each reaction (Section 3.1).

The output of the complete procedure is a set of weighted links between users and documents, in which the weights indicate the relevance of the documents for each user.

It was found that the researcher's relevance judgments could be used to accurately predict the relevance of additional documents: both using tenfold cross-validation and by training on publications from 2008 2010 and testing on documents from 2011.

Once a researcher has indicated which documents are in fact relevant, the relevant, and non-relevant documents can be used as positive and negative examples for machine learning algorithms to predict the relevance of additional documents.

Various techniques have been developed to reveal the relevance of retrieved documents to search keywords.

"The relevance of these documents is they demonstrate the tobacco industry in turn was looking to and learning from oil".

Our case study has shown that the relevance feedback judgments of a human microbiome researcher can be used to effectively predict the relevance of additional documents.