Evaluation measures for an information retrieval (IR) system assess how well an index, search engine, or database returns results from a collection of...

in the TREC evaluations that continue to this day as the main evaluation framework for information retrieval research. In order to evaluate how well an...

TREC report on information retrieval evaluation techniques How eBay measures search relevance Information retrieval performance evaluation tool @ Athena...

In pattern recognition, information retrieval, object detection and classification (machine learning), precision and recall are performance metrics that...

classification Enterprise search Evaluation measures (information retrieval) Full text search Information retrieval Latent semantic indexing Search engine...

Music information retrieval (MIR) is the interdisciplinary science of retrieving information from music. Those involved in MIR may have a background in...

Ranking of query is one of the fundamental problems in information retrieval (IR), the scientific/engineering discipline behind search engines. Given...

Discounted cumulative gain (DCG) is a measure of ranking quality in information retrieval. It is often normalized so that it is comparable across queries...

qualitative and lists the qualities of popular search engines Evaluation measures (information retrieval), which is quantitative and which describes general methods...

research within the information retrieval community by providing the infrastructure necessary for large-scale evaluation of text retrieval methodologies and...

Content-based image retrieval, also known as query by image content (QBIC) and content-based visual information retrieval (CBVIR), is the application...

statistical analysis of binary classification and information retrieval systems, the F-score or F-measure is a measure of predictive performance. It is calculated...

computer science, Universal IR Evaluation (information retrieval evaluation) aims to develop measures of database retrieval performance that shall be comparable...

Relevance feedback is a feature of some information retrieval systems. The idea behind relevance feedback is to take the results that are initially returned...

computer scientist who is best known for his work on the evaluation of information retrieval systems. Cyril Cleverdon was born in Bristol, England. He...

human intelligence in the information retrieval process, HCIR requires different evaluation models – one that combines evaluation of the IR and HCI components...

more suited to information retrieval and information extraction evaluation where the true negatives are innumerable. Instead, measures such as the phi...

Queries per second (QPS) is a measure of the amount of search traffic an information-retrieval system, such as a search engine or a database, receives...

reinforcement learning, in the construction of ranking models for information retrieval systems. Training data may, for example, consist of lists of items...

(October 1979). An Evaluation of Factors Affecting Document Ranking by Information Retrieval Systems, Syracuse, NY: School of Information Studies, Syracuse...

coefficient is generally regarded as being one of the best such measures. Other measures, such as the proportion of correct predictions (also termed accuracy)...

Literature Analysis and Retrieval System Online, or MEDLARS Online) is a bibliographic database of life sciences and biomedical information. It includes bibliographic...

Legal information retrieval is the science of information retrieval applied to legal text, including legislation, case law, and scholarly works. Accurate...

important measures is called entropy, which forms the building block of many other measures. Entropy allows quantification of measure of information in a single...

sets X and Y of keywords used in information retrieval, the coefficient may be defined as twice the shared information (intersection) over the sum of cardinalities :...

potential alternative metric. Information retrieval Question answering E.M. Voorhees (1999). "Proceedings of the 8th Text Retrieval Conference" (PDF). TREC-8...

In information retrieval, tf–idf (also TF*IDF, TFIDF, TF–IDF, or Tf–idf), short for term frequency–inverse document frequency, is a measure of importance...

route optimization, handwriting recognition, grammar induction, and information retrieval. Large language models, currently their most advanced form, are...

second way is based on the integration of the measures inside specific applications such as information retrieval, recommender systems, natural language processing...

in industry, deciding whether a specification has been met; In information retrieval, deciding whether a page should be in the result set of a search...