Optimization Issues in Web and Mobile Advertising: Past and Future Trends (SpringerBriefs in Operations Management)
| Author | : | |
| Rating | : | 4.15 (549 Votes) |
| Asin | : | 3319186442 |
| Format Type | : | paperback |
| Number of Pages | : | 70 Pages |
| Publish Date | : | 2015-04-30 |
| Language | : | English |
DESCRIPTION:
This is followed by the discussion of prominent pricing models. Thus, these models considered personalization in web advertising. These models were similar in nature to the problem of scheduling ads on newspaper or television, but the pricing structure in these models were different from those in newspaper or television ads. Here, the ads were specified by geometry and display frequency, and both of these factors were considered in developing a solution to the advertisement scheduling problem. . It begins by discussing the evolution of web advertising over time. Additionally this book
Kumar has taught different Ph.D., MBA, and Undergraduate level courses. Prof. Professor Kumar is currently the Deputy Editor and a Department Editor of Production and Operations Management, a Senior Editor of Decision Sciences, an Associate Editor of Information Systems Research and serves on the editorial boar
This book also provides the details of business model in mobile advertising, and presents solutions for the optimization problem involved in mobile advertising. The reader is provided with a basic overview of different optimization issues involved in web advertising. The book also presents methods to help solve these models. Additionally this book looks to key future trends in web and mobile advertising (such as Fading Ads) and the associated challenges that come with it. For instance, the future trends in pricing models are more towards action-based pricing rather than impression-based pricing.. This book provides a comprehensive overview of optimization issues and models in web and mobile advertising. Thus, these models considered personalization in web advertising. The earlier models mainly considered the problem of scheduling ads competing to be placed on a web page. Here, the ads were specified by geometry and display frequency, and both of these factors were considered in developing a solution to the advertisement scheduling problem. It begins by discussing the evolution of web advertising over time. More recently, there has been tremendous growth in mobile advertising. As the web advertising evolved, the initial models were augmented by considering how the schedule of ads is changed based on individual user click behavior. These models were similar in n
LUIZ SA LUCAS said Five Stars. Wonderful book