Computational Advertising: Market and Technologies for Internet Commercial Monetization - Image 1

£95.00

CRC Press Computational Advertising: Market and Technologies for Internet Commercial Monetization

Name: Computational Advertising: Market and Technologies for Internet Commercial Monetization
Brand: CRC Press
Price: 95.0 GBP
Availability: InStock

Econometrics

It has never been this cheap. We have no record of a lower price.

£95 today · cheaper than every other day in the last 3 months

NEW HERE?

Amazon shows you one price. We show you all of them.

Tosheroon watches Amazon prices so you don't have to. Every product on Amazon has a price history — we make it visible. Set the price you'd actually pay, and we'll email you the second it gets there. No app, no account, one email.

WHAT'S ON THIS PAGE

↓ Price chart
when this has been cheap or pricey

↓ Forecast
where the price is heading next

↓ Statistics
all-time high & low, recent range

↑ Price alert
name your number, we'll email you

Price History & Forecast

Grey patches = out of stock. Cheaper = lower on the chart. Hover for exact prices.

Last 1 days • 1 data points (No recent data available)

Historical

Generating forecast...

Not enough data points to display chart (need at least 2 points)

Price Distribution

Price distribution over 1 days • 1 price levels

Days at Price

Price Analysis

Most common price: £95 (1 days, 100.0%)

Price range: £95 - £95

Price levels: 1 different prices over 1 days

Description

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 About the Author Dr. Liu Peng is senior director and chief architect of business products at Qihoo 360. He is also responsible for product and engineering for monetization of 360. After receiving his PhD from Tsinghua University in 2005, he joined Microsoft Research Asia and studied cutting-edge artificial intelligence technologies. In 2009, he participated in the founding of Yahoo! Labs Beijing as a senior scientist. He was also chief scientist of MediaV. Dr. Liu Peng is devoted to products and technologies related to big data and computational advertising. His public online course “computational advertising” has attracted more than 30,000 students on Netease.com, and has been adopted as a basic training material in many related companies. Moreover, this course has been selected by Peking University, Tsinghua University and Beihang University for their graduates. Wang Chao received his master’s degree from Peking University, and then worked at Weibo and Autohome’s advertising department for some years. He is now a tech leader in the query recommendation group at Baidu’s portal search department. His work focuses on machine learning algorithms in computational advertising, and he has won 7th place among 718 participants in “predict click-through rates on display ads” organized by Kaggle and Criteo. He is also interested in contributing code for open source machine learning tools such as xgboost.

Product Specifications

Brand: CRC Press
Format: hardcover
ASIN: 0367206382
Category: Books > Subjects > Business, Finance & Law > Economics > Econometrics
Domain: Amazon UK
Release Date: 03 June 2020
Listed Since: 25 June 2020

Barcode

No barcode data available

CRC Press Computational Advertising: Market and Technologies for Internet Commercial Monetization

It has never been this cheap. We have no record of a lower price.

Price History & Forecast

Price Distribution

Price Analysis

Description

Product Specifications

Barcode

Similar Products You Might Like

Analysing Web Traffic: A Case Study on Artificial and Genuine Advertisement-Related Behaviour: 127 (Studies in Big Data, 127)

Achieving Business Competitiveness in a Digital Environment: Opportunities in E-commerce and Online Marketing (Contributions to Management Science)

Digital Advertising and Marketing Communication

The Psychology of Advertising

Emotion in Advertising: Theoretical and Practical Explorations

Concise Encyclopedia of Advertising

Advances in Advertising Research X: Multiple Touchpoints in Brand Communication: 10 (European Advertising Academy)

Advertising by Design: Generating and Designing Creative Ideas Across Media, 4th Edition

Advertising vol 4

Eine empirische Studie zur Wirkung von Native Advertising auf mobilen Geräten

Advertising vol 3

Machine Learning for Business Analytics: Concepts, Techniques, and Applications with Analytic Solver Data Mining

The Use of Artificial Intelligence in Digital Marketing: Competitive Strategies and Tactics (Advances in Marketing, Customer Relationship Management, and E-services)

Online Advertising and Promotion: Modern Technologies for Marketing (Advances in Marketing, Customer Relationship Management, and E-Services)

Advertising vol 1

Advertising and Integrated Brand Promotion (with CourseMate with Ad Age Printed Access Card)

Cases in Advertising and Marketing Management: Real Situations for Tomorrow's Managers

Diversity in Advertising: Broadening the Scope of Research Directions (Advertising and Consumer Psychology)

Advertising Cultures: Gender, Commerce, Creativity (Culture, Representation and Identity series)

Marketing Analytics: A Machine Learning Approach

A Marketer's Guide to Digital Advertising: Transparency, Metrics, and Money

Machine Learning for Business Analytics: Concepts, Techniques, and Applications in R

Advertising Research: Theory and Practice

Advertising