The Recommendation Book in PDF, ePub and Kindle version is available to download in english. Read online anytime anywhere directly from your device. Click on the download button below to get a free pdf file of The Recommendation book. This book definitely worth reading, it is an incredibly well-written.
Aaron is smart, charming and over-privileged. Iskinder, his new college roommate, comes from a middle-class immigrant family and is under-connected. Aaron takes Iskinder under his wing, sharing his world of favors and fortune. But the safe haven of college only lasts so long. After a chance encounter with an accused felon sets off a chain of events that puts Aaron's life at risk, the two men are forced to rethink the meaning of friendship. THE RECOMMENDATION is a bold and candid look at modern friendship from an exciting new theatrical voice.
How companies like Amazon, Netflix, and Spotify know what "you might also like": the history, technology, business, and societal impact of online recommendation engines. Increasingly, our technologies are giving us better, faster, smarter, and more personal advice than our own families and best friends. Amazon already knows what kind of books and household goods you like and is more than eager to recommend more; YouTube and TikTok always have another video lined up to show you; Netflix has crunched the numbers of your viewing habits to suggest whole genres that you would enjoy. In this volume in the MIT Press's Essential Knowledge series, innovation expert Michael Schrage explains the origins, technologies, business applications, and increasing societal impact of recommendation engines, the systems that allow companies worldwide to know what products, services, and experiences "you might also like."
If you’re just learning how to program, Julia is an excellent JIT-compiled, dynamically typed language with a clean syntax. This hands-on guide uses Julia 1.0 to walk you through programming one step at a time, beginning with basic programming concepts before moving on to more advanced capabilities, such as creating new types and multiple dispatch. Designed from the beginning for high performance, Julia is a general-purpose language ideal for not only numerical analysis and computational science but also web programming and scripting. Through exercises in each chapter, you’ll try out programming concepts as you learn them. Think Julia is perfect for students at the high school or college level as well as self-learners and professionals who need to learn programming basics. Start with the basics, including language syntax and semantics Get a clear definition of each programming concept Learn about values, variables, statements, functions, and data structures in a logical progression Discover how to work with files and databases Understand types, methods, and multiple dispatch Use debugging techniques to fix syntax, runtime, and semantic errors Explore interface design and data structures through case studies
WHO recommendation on prophylactic antibiotics for women undergoing caesarean section by Anonim Pdf
The Guideline Development Group noted that the available evidence on the effectiveness of antibiotics for caesarean section was largely derived from trials that tested first- or second-generation cephalosporins or penicillins in the 1980s and 1990s. Based on consensus, the Guideline Development Group favoured these classes of antibiotics over other classes of antibiotics, as they have a broad spectrum of activities and are widely available in all settings. While the Guideline Development Group members acknowledged the lack of clear difference between first- and second-generation cephalosporins, they noted that the evidence suggests that third-generation cephalosporins may be less effective than penicillins for this indication, and therefore suggests that this class of antibiotics should be avoided. The Guideline Development Group noted that first-generation cephalosporins are the preferred antibiotic class for prophylaxis in general surgery, as part of efforts to contain antimicrobial resistance. In acknowledgement of the lack of evidence on the comparative effectiveness of different classes of antibiotics, the Guideline Development Group concluded that when the recommended antibiotic classes are not available, other classes of antibiotics may also be used. The Guideline Development Group noted that the choice of an antibiotic class should be informed by local antimicrobial resistance guidance, local bacteriologic patterns of post-caesarean infectious morbidity, safety profile, the clinician’s experience with that particular class of antibiotics, availability and cost.
Judges : independence, efficiency and responsibilities – Recommendation CM/Rec(2010)12 and explanatory memorandum by Council of Europe Pdf
Recommendation CM/Rec(2010)12 on the independence, efficiency and responsi¬bilities of judges updates a recommendation that the Committee of Ministers of the Council of Europe adopted in 1994. These new rules aim to promote the role of judges, improve both their efficiency and independence and clarify their duties and responsibilities. They take account of the new ideas and practices that have emerged in member states' judicial systems since 1994.This recommendation places emphasis on the independence of every individual judge and of the judiciary as a whole. The notion of "internal independence", which aims at protecting judicial decisions from undue internal influences, is one of the important new elements of the recommendation. Judicial "efficiency" is defined in a clear and simple manner. Additional measures on the selection and training of judges, their responsibility, and judicial ethics seek to strengthen the role of individual judges and the judiciary in general.Overall, the recommendation represents a significant step forward in strengthening the protection of human rights and fundamental freedoms, as the manner in which judges exercise their judicial functions is crucial to the protection of these rights and freedoms.
Digital Security Risk Management for Economic and Social Prosperity OECD Recommendation and Companion Document by OECD Pdf
This OECD Recommendation and its Companion Document provide guidance for all stakeholders on the economic and social prosperity dimensions of digital security risk.
2015 OECD Recommendation of the Council on Gender Equality in Public Life by OECD Pdf
The 2015 OECD Recommendation of the Council on Gender Equality in Public Life promotes a government-wide strategy for gender equality reform, sound mechanisms to ensure accountability and sustainability of gender initiatives, and tools and evidence to inform inclusive policy decisions.
Destination Recommendation Systems by Daniel R. Fesenmaier,Karl W. Wöber,H. Werthner Pdf
An emerging area of study within technology and tourism focuses on the development of technologies which enable Internet users to quickly and effectively find relevant information about selected topics including travel destination, transportation, etc. This area of tourism research and development is generally referred to as destination marketing systems (DMSs) and brings together both applied and academic interests ranging from marketing and management to psychology, mathematics and computer sciences. This book provides a comprehensive synthesis of the current status of research, representing the contributions of some of the leading researchers in destination marketing systems.
Web Page Recommendation Models by Sule Gunduz-Oguducu Pdf
One of the application areas of data mining is the World Wide Web (WWW or Web), which serves as a huge, widely distributed, global information service for every kind of information such as news, advertisements, consumer information, financial management, education, government, e-commerce, health services, and many other information services. The Web also contains a rich and dynamic collection of hyperlink information, Web page access and usage information, providing sources for data mining. The amount of information on the Web is growing rapidly, as well as the number of Web sites and Web pages per Web site. Consequently, it has become more difficult to find relevant and useful information for Web users. Web usage mining is concerned with guiding the Web users to discover useful knowledge and supporting them for decision-making. In that context, predicting the needs of a Web user as she visits Web sites has gained importance. The requirement for predicting user needs in order to guide the user in a Web site and improve the usability of the Web site can be addressed by recommending pages to the user that are related to the interest of the user at that time. This monograph gives an overview of the research in the area of discovering and modeling the users' interest in order to recommend related Web pages. The Web page recommender systems studied in this monograph are categorized according to the data mining algorithms they use for recommendation. Table of Contents: Introduction to Web Page Recommender Systems / Preprocessing for Web Page Recommender Models / Pattern Extraction / Evaluation Metrics
Dangerous offenders - Recommendation CM/Rec(2014)3 and explanatory report by Council of Europe Pdf
On 19 February 2014, the Committee of Ministers adopted Recommendation CM/Rec(2014)3 to member States concerning dangerous offenders. The main objective of the recommendation is to strike the right balance between the protection of public safety and the rights of offenders, particularly in relation to secure preventive detention. These considerations have been given further weight thanks to several European Court of Human Rights judgments. The recommendation defines the concept of a “dangerous offender” with a view to characterising more precisely this group of offenders and also considers how best to recommend their management and treatment. The recommendation acknowledges and promotes the idea that protecting the public from dangerous offenders must be carried out while respecting the fundamental rights of dangerous offenders and established legal guarantees. It also aims at establishing rules for the preparation of their release, which is important not only for the prisoner but for the protection of society, as it diminishes the risk of reoffending or recidivism. The recommendation is a useful text and a reference for governments, lawmakers, all relevant authorities, professionals, non-governmental organisations and associations which deal with dangerous offenders, as well as for the offenders themselves.
Toolkit for Water Policies and Governance Converging Towards the OECD Council Recommendation on Water by OECD Pdf
The Toolkit for Water Policies and Governance compiles policies, governance arrangements and related tools that facilitate the design and implementation of water management practices in line with the OECD Council Recommendation on Water.
Intelligent Techniques in Recommendation Systems: Contextual Advancements and New Methods by Dehuri, Satchidananda Pdf
Although recommendation systems have become a vital research area in the fields of cognitive science, approximation theory, information retrieval and management sciences, they still require improvements to make recommendation methods more effective and intelligent. Intelligent Techniques in Recommendation Systems: Contextual Advancements and New Methods is a comprehensive collection of research on the latest advancements of intelligence techniques and their application to recommendation systems and how this could improve this field of study.
Algorithms and Applications for Academic Search, Recommendation and Quantitative Association Rule Mining by Emmanouil Amolochitis Pdf
Algorithms and Applications for Academic Search, Recommendation and Quantitative Association Rule Mining presents novel algorithms for academic search, recommendation and association rule mining that have been developed and optimized for different commercial as well as academic purpose systems. Along with the design and implementation of algorithms, a major part of the work presented in the book involves the development of new systems both for commercial as well as for academic use. In the first part of the book the author introduces a novel hierarchical heuristic scheme for re-ranking academic publications retrieved from standard digital libraries. The scheme is based on the hierarchical combination of a custom implementation of the term frequency heuristic, a time-depreciated citation score and a graph-theoretic computed score that relates the paper's index terms with each other. In order to evaluate the performance of the introduced algorithms, a meta-search engine has been designed and developed that submits user queries to standard digital repositories of academic publications and re-ranks the top-n results using the introduced hierarchical heuristic scheme. In the second part of the book the design of novel recommendation algorithms with application in different types of e-commerce systems are described. The newly introduced algorithms are a part of a developed Movie Recommendation system, the first such system to be commercially deployed in Greece by a major Triple Play services provider. The initial version of the system uses a novel hybrid recommender (user, item and content based) and provides daily recommendations to all active subscribers of the provider (currently more than 30,000). The recommenders that we are presenting are hybrid by nature, using an ensemble configuration of different content, user as well as item-based recommenders in order to provide more accurate recommendation results. The final part of the book presents the design of a quantitative association rule mining algorithm. Quantitative association rules refer to a special type of association rules of the form that antecedent implies consequent consisting of a set of numerical or quantitative attributes. The introduced mining algorithm processes a specific number of user histories in order to generate a set of association rules with a minimally required support and confidence value. The generated rules show strong relationships that exist between the consequent and the antecedent of each rule, representing different items that have been consumed at specific price levels. This research book will be of appeal to researchers, graduate students, professionals, engineers and computer programmers.
What the 3rd edition brings you: You support climate protection, quickly recive compact information and checklists from experts (overview and press reviews in the book preview) as well as advice proven in practice, which leads to success step by step - also thanks to add-on. Because the standard way to a new job, the job advertisement, has long since become obsolete: Especially with odd CVs, applicants often don't even make it to the job interview because their applications are sorted out immediately by the great mass of competitors. What remains are the right application methods, which often work through informal channels: Namely, job search by recommendation through contacts, also known as personal branding. To do this, applicants fall back on an existing network or look for helpful contacts - e.g. through social media, videos and blog. Many companies also offer bonuses to their employees if they recommend suitable applicants who fit exactly into the team. So how do you manage to address these door openers? How does it work to control your own image with reputation management? And how can you stand out positively with recommendations, present yourself excellently and thus convince both personnel and employers? This provides answers to the most important questions. We give you the best possible help on the topics of career, finance, management, personnel work and life assistance. For this purpose, we gather in each book the best experts in their field as authors - detailed biographies in the book - , who give a comprehensive overview of the topic and additionally offer you success planner workbooks in printed form. Our guidebooks are aimed primarily at beginners. Readers who are looking for more in-depth information can get it for free as an add-on with individual content in German and English as desired. This concept is made possible by a particularly efficient, innovative digital process and Deep Learning, AI systems that use neural networks in translation. Moreover, we give at least 5 percent of our proceeds from book sales to social and sustainable projects. For example, we endow scholarships or support innovative ideas as well as climate protection initiatives and in some cases also receive government funding for this. With our translations from German into English we improve the quality of neural machine learning and thus contribute to international understanding. You can find out more on the website of our Berufebilder Yourweb Institute. Publisher Simone Janson is also a bestselling author as well as one of the 10 most important German bloggers according to the Blogger-Relevance-Index, furthermore she was a columnist and author of renowned media such as WELT, Wirtschaftswoche or ZEIT - more about her in Wikipedia.
