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What is Precision

Handbook of Research on Web Information Systems Quality
Precision is an information retrieval performance measure that quantifies the fraction of retrieved documents which are known to be relevant.
Published in Chapter:
Towards a Model for Evaluating Web Retrieval Systems in Non-English Queries
Fotis Lazarinis (University of Sunderland, UK)
Copyright: © 2008 |Pages: 18
DOI: 10.4018/978-1-59904-847-5.ch029
Abstract
As the Web population continues to grow, more non-English users will be amassed online. The purpose of this chapter is to describe the methods and the criteria used for evaluating search engines and to propose a model for evaluating the searching effectiveness of Web retrieval systems in non-English queries. The qualities and weaknesses related to the handling of Greek and Italian queries are evaluated based on this method. The fundamental purpose of the methodology is to establish quality measurements on search engine utilization from the perspective of end users. Application of the proposed evaluation methodology aids users to select the most effective search engine and developers to identify some of the modules of their software that need improvements.
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More Results
Technologies for Information Access and Knowledge Management
Precision is a quality measure for information retrieval evaluation. It gives the percentage of relevant documents within the document set. Precision can be calculated by dividing the number of relevant documents that were found by the number of documents found.
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Utilizing Artificial Intelligence for Text Classification in Communication Sciences: Reliability of ChatGPT Models in Turkish Texts
Precision measures the proportion of correctly predicted positive cases among all instances predicted as positive. In simpler terms, it answers the question: “Of all the items I predicted as positive, how many are actually positive?”
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Histogram Generation from the HSV Color Space
The number of relevant images retrieved as a percentage of the total number of images retrieved.
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Emulating Subjective Criteria in Corpus Validation
Measure that indicates the percentage of correctly classified cases of one class with regard to the number of cases that are classified (correctly or not) as members of that class. This measure says if the classifier is assuming as members of one specific class cases from other different classes.
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Information Retrieval
A quality measure for information retrieval evaluation. It gives the percentage of relevant documents within the document set. Precision can be calculated by dividing the number of relevant documents which were found by the number of documents found.
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Convolutional Neural Networks and Deep Learning Techniques for Glass Surface Defect Inspection
The ratio between correctly predicted positive (target) observations to the total amount of observations that were predicted as positive. It is used to determine how often a model is correct when its prediction is positive.
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Approximation of Hate Detection Processes in Spanish and Other Non-Anglo-Saxon Languages
Precision is defined as the ratio of true positives (TP) over all predicted positives (TP + FP). That is, it measures the accuracy of positive predictions.
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Public Opinion and the Internet
The ratio of the number of documents that have been correctly retrieved, out of the number of documents returned by the search.
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Mapping Ontologies by Utilising Their Semantic Structure
The ratio of the number of relevant records retrieved to the total number of irrelevant and relevant records retrieved.
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Using Big Data Opinion Mining to Predict Rises and Falls in the Stock Price Index
The fraction of retrieved instances that are relevant. High precision means that an algorithm returned substantially more relevant results than irrelevant.
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Interfacing of Actuators and Sensors
A measurement's precision serves as a gauge for its accuracy. The value is more precisely expressed the higher the accuracy.
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Word Segmentation in Indo-China Languages for Digital Libraries
Precision is the ratio of the number of correctly segmented words to the number of all the segmented words.
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Query Expansion by Taxonomy
The proportion of retrieved and relevant documents to all the documents retrieved.
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Comprehensive Overview of Autonomous Vehicles and Their Security Against DDoS Attacks
It is one of the important performance indicators, which indicates the quality of a positive prediction made by model.
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Deep Learning-Based Mobile Application for Plant Disease Diagnosis: A Proof of Concept With a Case Study on Tomato Plant
It is a statistical measure of random errors. It is the ratio of valid outputs (also known as true positives) to retrieved samples only.
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Text Separation From Document Images: A Deep Learning Approach
Precision is the ratio of correctly predicted positive observations of the total predicted positive observations. Precision = TP/TP+FP.
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Radial Moments for Image Retrieval
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TempClass: Implicit Temporal Queries Classifier
The fraction of the returned results that are relevant to the information need.
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Leveraging Wi-Fi Big Data Streams to Support COVID-19 Contact Tracing
The fraction of relevant instances out of the total retrieved instances. It answers the question: “How much of the retrieved instances are correct?” It is the fraction of True positives out of the total positive cases.
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Machine Learning and Its Application in Monitoring Diabetes Mellitus
It is an accuracy measure calculated as the ratio of number of true positives predictions to the total of number of true positives and the number of false positives predictions. True positive cases are those cases which the classifier correctly labelled a data point as positive whereas false positive predictions are cases in which a data point is incorrectly labelled as positive by the classifier that are actually negative.
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Text Summarization and Its Types: A Literature Review
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Using Data Science to Predict Hotel Booking Cancellations
Measures the proportion of True Positives against the sum of all positive predictions (True Positives and False Positives).
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Top-k Relevant Term Suggestion Approach for Relational Keyword Search
It is a measure that allows knowing how good or bad is an answer set in terms of effectiveness and completeness for a given keyword query.
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Geometric Quality in Geographic Information
The degree of reproducibility or repeatability. The measure to which, further measurements or calculations show the same or similar results. In many cases precision can be characterized in terms of the standard deviation of the measurements, sometimes incorrectly called the measurement process’s standard error. The results of calculations or a measurement can be accurate but not precise; precise but not accurate; neither; or both. A result is called valid if it is both accurate and precise.
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Recognition of Face Biometrics
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