Introduction to Algorithmic Marketing

Introduction to Algorithmic Marketing pdf epub mobi txt 电子书 下载 2025

出版者:
作者:Ilia Katcov
出品人:
页数:506
译者:
出版时间:2017-12-2
价格:USD 38.00
装帧:Hardcover
isbn号码:9780692989043
丛书系列:
图书标签:
  • 营销
  • 计算机
  • 数据科学
  • 历史
  • 管理
  • 机器学习
  • 数据分析
  • 数学和计算机
  • 算法营销
  • 营销策略
  • 数据分析
  • 机器学习
  • 数字营销
  • 个性化推荐
  • 广告技术
  • 用户行为
  • 营销自动化
  • 商业智能
想要找书就要到 小美书屋
立刻按 ctrl+D收藏本页
你会得到大惊喜!!

具体描述

Introduction to Algorithmic Marketing is a comprehensive guide to advanced marketing automation for marketing strategists, data scientists, product managers, and software engineers. It summarizes various techniques tested by major technology, advertising, and retail companies, and it glues these methods together with economic theory and machine learning. The book covers the main areas of marketing that require programmatic micro-decisioning targeted promotions and advertisements, eCommerce search, recommendations, pricing, and assortment optimization.

作者简介

目录信息

Table of Contents
Chapter 1 - Introduction
- The Subject of Algorithmic Marketing
- The Definition of Algorithmic Marketing
- Historical Backgrounds and Context
- Programmatic Services
- Who Should Read This Book?
- Summary
Chapter 2 - Review of Predictive Modeling
- Descriptive, Predictive, and Prescriptive Analytics
- Economic Optimization
- Machine Learning
- Supervised Learning
- Representation Learning
- More Specialized Models
- Summary
Chapter 3 - Promotions and Advertisements
- Environment
- Business Objectives
- Targeting Pipeline
- Response Modeling and Measurement
- Building Blocks: Targeting and LTV Models
- Designing and Running Campaigns
- Resource Allocation
- Online Advertisements
- Measuring the Effectiveness
- Architecture of Targeting Systems
- Summary
Chapter 4 - Search
- Environment
- Business Objectives
- Building Blocks: Matching and Ranking
- Mixing Relevance Signals
- Semantic Analysis
- Search Methods for Merchandising
- Relevance Tuning
- Architecture of Merchandising Search Services
- Summary
Chapter 5 - Recommendations
- Environment
- Business Objectives
- Quality Evaluation
- Overview of Recommendation Methods
- Content-based Filtering
- Introduction to Collaborative Filtering
- Neighborhood-based Collaborative Filtering
- Model-based Collaborative Filtering
- Hybrid Methods
- Contextual Recommendations
- Non-Personalized Recommendations
- Multiple Objective Optimization
- Architecture of Recommender Systems
- Summary
Chapter 6 - Pricing and Assortment
- Environment
- The Impact of Pricing
- Price and Value
- Price and Demand
- Basic Price Structures
- Demand Prediction
- Price Optimization
- Resource Allocation
- Assortment Optimization
- Architecture of Price Management Systems
- Summary
· · · · · · (收起)

读后感

评分

评分

评分

评分

评分

用户评价

评分

非常好的入门介绍,对于promotion, ads 有了全新的认识。不足之处是没有实际案例支持,难以上手

评分

非常好的入门介绍,对于promotion, ads 有了全新的认识。不足之处是没有实际案例支持,难以上手

评分

good basic intro to application of models (optimization, causal inference, Markov Chain, regression, NBayes, LSA, etc) in the context of marketing, relevant marketing metrics, etc // needs digging into details, papers and models // tech side too general and out-dated..

评分

good basic intro to application of models (optimization, causal inference, Markov Chain, regression, NBayes, LSA, etc) in the context of marketing, relevant marketing metrics, etc // needs digging into details, papers and models // tech side too general and out-dated..

评分

good basic intro to application of models (optimization, causal inference, Markov Chain, regression, NBayes, LSA, etc) in the context of marketing, relevant marketing metrics, etc // needs digging into details, papers and models // tech side too general and out-dated..

本站所有内容均为互联网搜索引擎提供的公开搜索信息,本站不存储任何数据与内容,任何内容与数据均与本站无关,如有需要请联系相关搜索引擎包括但不限于百度google,bing,sogou

© 2025 book.quotespace.org All Rights Reserved. 小美书屋 版权所有