| Author | : Kushal Dave |
| Publisher | : |
| Total Pages | : 174 |
| Release | : 2014-10-29 |
| Genre | : Business & Economics |
| ISBN | : 9781601988324 |
Computational Advertising: Techniques for Targeting Relevant Ads surveys and discusses the problems and solutions pertaining to the information retrieval, machine learning and statistics domain of Computational Advertising.
| Author | : Peng Liu |
| Publisher | : CRC Press |
| Total Pages | : 443 |
| Release | : 2020-05-12 |
| Genre | : Computers |
| ISBN | : 0429553250 |
This book introduces computational advertising, and Internet monetization. It provides a macroscopic understanding of how consumer products in the Internet era push user experience and monetization to the limit. Part One of the book focuses on the basic problems and background knowledge of online advertising. Part Two targets the product, operations, and sales staff, as well as high-level decision makers of the Internet products. It explains the market structure, trading models, and the main products in computational advertising. Part Three targets systems, algorithms, and architects, and focuses on the key technical challenges of different advertising products. Features · Introduces computational advertising and Internet monetization · Covers data processing, utilization, and trading · Uses business logic as the driving force to explain online advertising products and technology advancement · Explores the products and the technologies of computational advertising, to provide insights on the realization of personalization systems, constrained optimization, data monetization and trading, and other practical industry problems · Includes case studies and code snippets
| Author | : Leif Azzopardi |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 399 |
| Release | : 2009-08-31 |
| Genre | : Computers |
| ISBN | : 3642044166 |
This book constitutes the refereed proceedings of the Second International Conference on the Theory of Information Retrieval, ICTIR 2009, held in Cambridge, UK, in September 2009. The 18 revised full papers, 14 short papers, and 11 posters presented together with one invited talk were carefully reviewed and selected from 82 submissions. The papers are categorized into four main themes: novel IR models, evaluation, efficiency, and new perspectives in IR. Twenty-one papers fall into the general theme of novel IR models, ranging from various retrieval models, query and term selection models, Web IR models, developments in novelty and diversity, to the modeling of user aspects. There are four papers on new evaluation methodologies, e.g., modeling score distributions, evaluation over sessions, and an axiomatic framework for XML retrieval evaluation. Three papers focus on the issue of efficiency and offer solutions to improve the tractability of PageRank, data cleansing practices for training classifiers, and approximate search for distributed IR. Finally, four papers look into new perspectives of IR and shed light on some new emerging areas of interest, such as the application and adoption of quantum theory in IR.
| Author | : Xingquan Zhu |
| Publisher | : Springer |
| Total Pages | : 61 |
| Release | : 2017-06-08 |
| Genre | : Computers |
| ISBN | : 3319567934 |
The authors systematically review methods of online digital advertising (ad) fraud and the techniques to prevent and defeat such fraud in this brief. The authors categorize ad fraud into three major categories, including (1) placement fraud, (2) traffic fraud, and (3) action fraud. It summarizes major features of each type of fraud, and also outlines measures and resources to detect each type of fraud. This brief provides a comprehensive guideline to help researchers understand the state-of-the-art in ad fraud detection. It also serves as a technical reference for industry to design new techniques and solutions to win the battle against fraud.
| Author | : Shelly Rodgers |
| Publisher | : Taylor & Francis |
| Total Pages | : 466 |
| Release | : 2017-02-17 |
| Genre | : Business & Economics |
| ISBN | : 1317225465 |
Digital Advertising offers a detailed and current overview of the field that draws on current research and practice by introducing key concepts, models, theories, evaluation practices, conflicts, and issues. With a balance of theory and practice, this book helps provide the tools to evaluate and understand the effects of digital advertising and promotions campaigns. New to this edition is discussion of big data analysis, privacy issues, and social media, as well as thought pieces by leading industry practitioners. This book is ideal for graduate and upper-level undergraduate students, as well as academics and practitioners.
| Author | : Shelly Rodgers |
| Publisher | : Routledge |
| Total Pages | : 620 |
| Release | : 2012-04-23 |
| Genre | : Business & Economics |
| ISBN | : 1136514864 |
Advertising Theory provides detailed and current explorations of key theories in the advertising discipline. The volume gives a working knowledge of the primary theoretical approaches of advertising, offering a comprehensive synthesis of the vast literature in the area. Editors Shelly Rodgers and Esther Thorson have developed this volume as a forum in which to compare, contrast, and evaluate advertising theories in a comprehensive and structured presentation. Chapters provide concrete examples, case studies, and readings written by leading advertising scholars and educators. Utilizing McGuire’s persuasion matrix as the structural model for each chapter, the text offers a wider lens through which to view the phenomenon of advertising as it operates within various environments. Within each area of advertising theory – and across advertising contexts – both traditional and non-traditional approaches are addressed, including electronic word-of-mouth advertising, user-generated advertising, and social media advertising contexts. As a benchmark for the current state of advertising theory, this text will facilitate a deeper understanding for advertising students, and will be required reading for advertising theory coursework.
| Author | : Wang He |
| Publisher | : Springer Nature |
| Total Pages | : 398 |
| Release | : 2023-10-11 |
| Genre | : Computers |
| ISBN | : 981993723X |
This book systematically introduces the competitions in the field of algorithm and machine learning. The first author of the book has won 5 championships and 5 runner-ups in domestic and international algorithm competitions. Firstly, it takes common competition scenarios as a guide by giving the main processes of using machine learning to solve real-world problems, namely problem modelling, data exploration, feature engineering, model training. And then lists the main points of difficulties, general ideas with solutions in the whole process. Moreover, this book comprehensively covers several common problems in the field of machine learning competitions such as recommendation, temporal prediction, advertising, text computing, etc. The authors, also knew as "competition professionals”, will explain the actual cases in detail and teach you various processes, routines, techniques and strategies, which is a rare treasure book for all competition enthusiasts. It is very suitable for readers who are interested in algorithm competitions and deep learning algorithms in practice, or computer-related majors.
| Author | : Management Association, Information Resources |
| Publisher | : IGI Global |
| Total Pages | : 1838 |
| Release | : 2017-01-06 |
| Genre | : Business & Economics |
| ISBN | : 1522517944 |
Effective marketing techniques are a driving force behind the success or failure of a particular product or service. When utilized correctly, such methods increase competitive advantage and customer engagement. Advertising and Branding: Concepts, Methodologies, Tools, and Applications is a comprehensive reference source for the latest scholarly material on emerging technologies, techniques, strategies, and theories for the development of advertising and branding campaigns in the modern marketplace. Featuring extensive coverage across a range of topics, such as customer retention, brand identity, and global advertising, this innovative publication is ideally designed for professionals, researchers, academics, students, managers, and practitioners actively involved in the marketing industry.
| Author | : Jun Wang |
| Publisher | : |
| Total Pages | : 158 |
| Release | : 2017-07-13 |
| Genre | : Computers |
| ISBN | : 9781680833102 |
This monograph offers insightful knowledge of real-world RTB systems, to bridge the gaps between industry and academia, and to provide an overview of the fundamental infrastructure, algorithms, and technical and research challenges of the new frontier of computational advertising.
