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Books on the topic 'Recommender Algorithm'

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Author: Grafiati
Published: 14 March 2023

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1

Gündüz-Ögüdücü, Şule. Web page recommendation models: Theory and algorithms. San Rafael, Calif. (1537 Fourth Street, San Rafael, CA 94901 USA): Morgan & Claypool, 2011.

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2

Mandra, Yuliya, Elena Semencova, Sergey Griroriev, N. Gegalina, Elena Svetlakova, Maria Vlasova, Yuriy Boldyrev, Anastasiya Kotikova, Aleksandr Ivashov, and Aleksandr Legkih. MODERN METHODS OF COMPLEX TREATMENT OF PATIENTS WITH HERPES SIMPLEX LIPS. ru: TIRAZH Publishing House, 2019. http://dx.doi.org/10.18481/textbook_5dfa340500ebf6.85792235.

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The training manual is devoted to the problem of herpetic infection in dentistry and was developed taking into account world scientific and clinical practice, experience working on clinical recommendations of the Ministry of Health of the Russian Federation, as well as experimental, laboratory and clinical data obtained by the authors. This manual presents materials related to modern ideas about the etiology and pathogenesis of herpetic infection, modern diagnostic methods are highlighted, and current complex treatment algorithms are proposed, and clinical cases are presented. Recommended as a guide for practitioners of various specialties, clinical residents, senior students.
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3

Varlamov, Oleg. 18 examples of mivar expert systems. ru: INFRA-M Academic Publishing LLC., 2021. http://dx.doi.org/10.12737/1248446.

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Many years of research on mivar technologies of logical artificial intelligence have allowed us to create a new powerful, versatile and fast tool, which is called "multidimensional open gnoseological active net" — "multidimensional open gnoseological active net: MOGAN". This tool allows you to quickly and easily design algorithms and work with logical reasoning in the "If..., Then..." format, and it can be used to model cause-and-effect relationships in different subject areas and create knowledge bases of new-generation applied artificial intelligence systems and real-time mivar expert systems with "Big Knowledge". The reader, after studying this tutorial, you will be able to create mivar expert system with the help of CASMI Wi!Mi. Designed for students, bachelors, masters and postgraduate students studying artificial intelligence methods, as well as for users, experts and specialists, creating a system of information processing and management, mivar models, expert systems, automated control systems, systems of decision support and Recommender systems.
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4

Bleakley, Chris. Poems That Solve Puzzles. Oxford University Press, 2020. http://dx.doi.org/10.1093/oso/9780198853732.001.0001.

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Algorithms are the hidden methods that computers apply to process information and make decisions. The book tells the story of algorithms from their ancient origins to the present day and beyond. The book introduces readers to the inventors and events behind the genesis of the world’s most important algorithms. Along the way, it explains, with the aid of examples and illustrations, how the most influential algorithms work. The first algorithms were invented in Mesopotamia 4,000 years ago. The ancient Greeks refined the concept, creating algorithms for finding prime numbers and enumerating Pi. Al-Khawrzmi’s 9th century books on algorithms ultimately became their conduit to the West. The invention of the electronic computer during World War II transformed the importance of the algorithm. The first computer algorithms were for military applications. In peacetime, researchers turned to grander challenges - forecasting the weather, route navigation, choosing marriage partners, and creating artificial intelligences. The success of the Internet in the 70s depended on algorithms for transporting data and correcting errors. A clever algorithm for ranking websites was the spark that ignited Google. Recommender algorithms boosted sales at Amazon and Netflix, while the EdgeRank algorithm drove Facebook’s NewsFeed. In the 21st century, an algorithm that mimics the operation of the human brain was revisited with the latest computer technology. Suddenly, algorithms attained human-level accuracy in object and speech recognition. An algloirthm defeated the world champion at Go - the most complex of board games. Today, algorithms for cryptocurrencies and quantum computing look set to change the world.
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5

Mohanty, Sachi Nandan, P. Pavan Kumar, S. Vairachilai, and Sirisha Potluri. Recommender Systems: Algorithms and Applications. Taylor & Francis Group, 2021.

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6

Mohanty, Sachi Nandan, P. Pavan Kumar, S. Vairachilai, and Sirisha Potluri. Recommender Systems: Algorithms and Applications. Taylor & Francis Group, 2021.

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7

Mohanty, Sachi Nandan, P. Pavan Kumar, S. Vairachilai, and Sirisha Potluri. Recommender Systems: Algorithms and Applications. Taylor & Francis Group, 2021.

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8

Towards Metadata-Aware Algorithms for Recommender Systems. Lang GmbH, Internationaler Verlag der Wissenschaften, Peter, 2010.

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9

Kant, Tanya. Making it Personal. Oxford University Press, 2020. http://dx.doi.org/10.1093/oso/9780190905088.001.0001.

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The encounter of “personalized experiences”—targeted advertisements, tailored information feeds, and “recommended” content, among other things—is now a common and somewhat inescapable component of digital life. More often than not however, “you” the user are not primarily responsible for personalizing your web engagements: instead, with the help of your search, browsing, and purchase histories, your “likes,” your click-throughs, and a multitude of other data you produce as you go about your day, your experience can “conveniently”—and computationally—be personalized on your behalf. This book explores a host of new questions that emerge from web users’ encounters with these forms of algorithmic personalization. What do users “know” about the algorithms that apparently “know” them? If personalization practices seek to act on users’ behalf (for instance, by deciding what content is personally relevant), then how do users retain or relinquish their autonomy? Indeed, what kinds of selfhoods are made possible when personalization algorithms intervene in identity construction? Making It Personal is the first full-length monograph to critically analyze the sociocultural implications of algorithmic personalization through the accounts and testimonies of web users themselves. At the heart of the book are interviews and focus groups with web users who—through a myriad of resistant, tactical, resigned, or trusting engagements—encounter algorithmic personalization as part of their lived experience on the web. The book proposes that for those who encounter it, algorithmic personalization creates new implications for knowledge production, autonomy, cultural capital, and formations of self.
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10

Big Data Recommender Systems: Algorithms, Architectures, Big Data, Security and Trust. Institution of Engineering & Technology, 2019.

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11

Frey, Mattias. Netflix Recommends: Algorithms, Film Choice, and the History of Taste. University of California Press, 2021.

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12

Frey, Mattias. Netflix Recommends: Algorithms, Film Choice, and the History of Taste. University of California Press, 2021.

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13

Frey, Mattias. Netflix Recommends: Algorithms, Film Choice, and the History of Taste. University of California Press, 2021.

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14

Khalid, Osman, Samee U. Khan, and Albert Y. Zomaya, eds. Big Data Recommender Systems - Volume 1: Algorithms, Architectures, Big Data, Security and Trust. Institution of Engineering and Technology, 2019. http://dx.doi.org/10.1049/pbpc035f.

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15

Khan, Samee U., Albert Y. Zomaya, and Osman Khalid. Big Data Recommender Systems: Algorithms, Architectures, Big Data, Security and Trust, Volume 1. Institution of Engineering & Technology, 2019.

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16

Michel, Bierlaire. Optimization: Principles and Algorithms. EPFL Press, 2015. http://dx.doi.org/10.55430/6116v1mb.

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Every engineer and decision scientist must have a good mastery of optimization, an essential element in their toolkit. Thus, this articulate introductory textbook will certainly be welcomed by students and practicing professionals alike. Drawing from his vast teaching experience, the author skillfully leads the reader through a rich choice of topics in a coherent, fluid and tasteful blend of models and methods anchored on the underlying mathematical notions (only prerequisites: first year calculus and linear algebra). Topics range from the classics to some of the most recent developments in smooth unconstrained and constrained optimization, like descent methods, conjugate gradients, Newton and quasi-Newton methods, linear programming and the simplex method, trust region and interior point methods. Furthermore elements of discrete and combinatorial optimization like network optimization, integer programming and heuristic local search methods are also presented. This book presents optimization as a modeling tool that beyond supporting problem formulation plus design and implementation of efficient algorithms, also is a language suited for interdisciplinary human interaction. Readers further become aware that while the roots of mathematical optimization go back to the work of giants like Newton, Lagrange, Cauchy, Euler or Gauss, it did not become a discipline on its own until World War Two. Also that its present momentum really resulted from its symbiosis with modern computers, which made it possible to routinely solve problems with millions of variables and constraints. With his witty, entertaining, yet precise style, Michel Bierlaire captivates his readers and awakens their desire to try out the presented material in a creative mode. One of the outstanding assets of this book is the unified, clear and concise rendering of the various algorithms, which makes them easily readable and translatable into any high level programming language. ''This is an addictive book that I am very pleased to recommend.'' Prof. Thomas M. Liebling
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17

Cetin, Derrick. Medical Evaluation of the Bariatric Surgery Patient. Edited by Tomasz Rogula, Philip Schauer, and Tammy Fouse. Oxford University Press, 2018. http://dx.doi.org/10.1093/med/9780190608347.003.0002.

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Evaluation of the obese patient requires identification of all comorbidities and health conditions, including underlying cardiac and pulmonary conditions that could have a negative outcome on noncardiac surgery. Once comorbidities have been recognized, aggressive optimization of these medical conditions can provide improved outcomes after bariatric surgery. Estimating medical risk can be performed by several validated classification systems. The preoperative checklist and clinical practice guidelines (CPG) were updated in 2013. The CPG recommendations for preoperative evaluation of the bariatric surgery patient include lab testing, nutritional screening, endocrine assessment, and cardiopulmonary assessment, including sleep apnea screening. The CPG suggest an extensive multidisciplinary team approach to the preoperative bariatric surgery patient. Finally, the medical evaluation includes an algorithm for a seven-step approach to the preoperative visit. Also recommended for evaluation of the morbidly obese patient is an algorithm that uses a five-step approach after a comprehensive history and physical exam and lab testing.
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18

Katirji, Bashar. Case 26. Edited by Bashar Katirji. Oxford University Press, 2018. http://dx.doi.org/10.1093/med/9780190603434.003.0030.

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Peripheral polyneuropathy is a common clinical presentation, and most cases seen in clinical practice are axonal, dying-back, sensorimotor polyneuropathies. Axonal polyneuropathies should be distinguished from the acquired demyelinating peripheral polyneuropathies which are often immune-mediated and amenable to treatment. This case presents a typical patient with a dying-back sensorimotor axonal peripheral polyneuropathy and presents a practical approach to the etiologic diagnoses of peripheral neuropathy. It then highlights its distinguishing features on nerve conduction studies. A comparison between axonal and demyelinating polyneuropathies is revealed. An algorithmic approach to the workup of a patient presenting with a peripheral neuropathy is recommended.
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19

Hvas, Anne-Mette, Erik L. Grove, and Steen Dalby Kristensen. Biomarkers of coagulation and thrombosis. Oxford University Press, 2015. http://dx.doi.org/10.1093/med/9780199687039.003.0038.

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Coagulation is evaluated by conventional coagulation analyses, often supplemented by point-of-care tests. Recently, a number of point-of-care tests for evaluation of platelet function and the efficacy of antiplatelet therapy has been investigated. Thrombophilia contributes to the risk of thrombosis, and a battery of complex assays is required to identify all thrombophilias. Disseminated intravascular coagulation is characterized by microthrombosis and clinical bleeding. A scoring system for overt disseminated intravascular coagulation provides a five-step diagnostic algorithm. The cornerstone of the management of disseminated intravascular coagulation is treatment of the underlying triggering condition. Heparin-induced thrombocytopenia is an adverse immunological effect of heparin therapy. Besides thrombocytopenia, the major clinical consequence of heparin-induced thrombocytopenia is an increased risk of thrombosis. The diagnosis is based on clinical symptoms and detection of platelet-activating heparin-induced thrombocytopenia antibodies. When heparin-induced thrombocytopenia is strongly suspected, it is recommended to stop heparin treatment, investigate for heparin-induced thrombocytopenia antibodies, and initiate non-heparin anticoagulant treatment.
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20

Hvas, Anne-Mette, Erik L. Grove, and Steen Dalby Kristensen. Biomarkers of coagulation and thrombosis. Oxford University Press, 2018. http://dx.doi.org/10.1093/med/9780199687039.003.0038_update_001.

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Coagulation is evaluated by conventional coagulation analyses, often supplemented by point-of-care tests. Recently, a number of point-of-care tests for evaluation of platelet function and the efficacy of antiplatelet therapy has been investigated. Thrombophilia contributes to the risk of thrombosis, and a battery of complex assays is required to identify all thrombophilias. Disseminated intravascular coagulation is characterized by microthrombosis and clinical bleeding. A scoring system for overt disseminated intravascular coagulation provides a five-step diagnostic algorithm. The cornerstone of the management of disseminated intravascular coagulation is treatment of the underlying triggering condition. Heparin-induced thrombocytopenia is an adverse immunological effect of heparin therapy. Besides thrombocytopenia, the major clinical consequence of heparin-induced thrombocytopenia is an increased risk of thrombosis. The diagnosis is based on clinical symptoms and detection of platelet-activating heparin-induced thrombocytopenia antibodies. When heparin-induced thrombocytopenia is strongly suspected, it is recommended to stop heparin treatment, investigate for heparin-induced thrombocytopenia antibodies, and initiate non-heparin anticoagulant treatment.
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21

Mistraletti, Giovanni, and Gaetano Iapichino. Sedation assessment in the critically ill. Oxford University Press, 2016. http://dx.doi.org/10.1093/med/9780199600830.003.0358.

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Patient comfort is a primary goal in ICU, but achieving and maintaining the appropriate balance of analgesia, sedation, and treatment of delirium is frequently challenging. International guidelines recommend keeping critically-ill patients calm and cooperative, awake in daytime and asleep at night, always avoiding deep sedation. To state the actual level of sedation and the desired one, it is necessary to frequently perform a sedation assessment with validated tools. Subjective methods are the most useful guides in ICU consciously-sedated patients, representing the gold standard for good clinical practice. Use of such a scale is a key component of sedation algorithms. The ideal scoring system should be easy, reliable, sensitive, and with minimal interobserver variability, giving no or minimal additional discomfort to the patient. Most of the proposed tools are a compromise between accuracy and time required for evaluation; the most used are the Richmond Agitation-Sedation Scale and the Sedation-Agitation Scale.
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