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Information retrieval (IR) in computing and information science is the task of identifying and retrieving information system resources that are relevant to an information need. The information need can be specified in the form of a search query. In the case of document retrieval, queries can be based on full-text or other content-based indexing.
Predictive coding is synonymous with ‘technology assisted review’, ‘computer assisted review’ and ‘assisted review’. [1] This means that the review is done by a computer software rather than by humans. The method that the software uses to review is by means of scoring each document for relevance to the case of concern.
“Combining Bibliometrics Information Retrieval and Relevance Theory." [17] Nicholas J. Belkin: 2003 Interaction in Information Systems: A Review of Research from Document Retrieval to Knowledge-Based Systems. [18] Karen Spärck Jones: 2002 "A Statistical Interpretation of Term Specificity and Its Application in Retrieval." [19] Patrick G ...
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Computer-assisted plagiarism detection is an Information retrieval (IR) task supported by specialized IR systems, which is referred to as a plagiarism detection system (PDS) or document similarity detection system. A 2019 systematic literature review [4] presents an overview of state-of-the-art plagiarism detection methods.
Technical support scams rely on social engineering to persuade victims that their device is infected with malware. [15] [16] Scammers use a variety of confidence tricks to persuade the victim to install remote desktop software, with which the scammer can then take control of the victim's computer.
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