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(EMAILWIRE.COM, February 08, 2019 ) A recommender system or a recommendation system is a subclass of information filtering system that seeks to predict the "rating" or "preference" a user would give to an item.
This report focuses on the global Content Recommendation Engine status, future forecast, growth opportunity, key market and key players. The study objectives are to present the Content Recommendation Engine development in United States, Europe and China.
In 2017, the global Content Recommendation Engine market size was million US$ and it is expected to reach million US$ by the end of 2025, with a CAGR of during 2018-2025.
The key players covered in this study Amazon Web Services (US), Boomtrain (US), Certona (US), Curata (US), Cxense (Norway), Dynamic Yield (US), IBM (US), Kibo Commerce (US), Outbrain (US), Revcontent (US), Taboola (US), ThinkAnalytics (UK)
Enter your information below to receive a sample copy of this report @ https://www.reportsweb.com/inquiry&RW00012252812/sample
Market segment by Type, the product can be split into
Solution
Service
Market segment by Application, split into
Media
Entertainment & Gaming
Retail & Consumer Goods
Hospitality
Others
Get Exclusive Discount on Report @ https://www.reportsweb.com/inquiry&RW00012252812/discount
The study objectives of this report are:
To analyze global Content Recommendation Engine status, future forecast, growth opportunity, key market and key players.
To present the Content Recommendation Engine development in United States, Europe and China.
To strategically profile the key players and comprehensively analyze their development plan and strategies.
To define, describe and forecast the market by product type, market and key regions.
Table of Contents
1 Report Overview
2 Global Growth Trends
3 Market Share by Key Players
4 Breakdown Data by Type and Application
5 United States
6 Europe
7 China
8 Japan
9 Southeast Asia
10 India
11 Central & South America
12 International Players Profiles
12.1 Amazon Web Services (US)
12.1.1 Amazon Web Services (US) Company Details
12.1.2 Company Description and Business Overview
12.1.3 Content Recommendation Engine Introduction
12.1.4 Amazon Web Services (US) Revenue in Content Recommendation Engine Business (2013-2018)
12.1.5 Amazon Web Services (US) Recent Development
12.2 Boomtrain (US)
12.2.1 Boomtrain (US) Company Details
12.2.2 Company Description and Business Overview
12.2.3 Content Recommendation Engine Introduction
12.2.4 Boomtrain (US) Revenue in Content Recommendation Engine Business (2013-2018)
12.2.5 Boomtrain (US) Recent Development
12.3 Certona (US)
12.3.1 Certona (US) Company Details
12.3.2 Company Description and Business Overview
12.3.3 Content Recommendation Engine Introduction
12.3.4 Certona (US) Revenue in Content Recommendation Engine Business (2013-2018)
12.3.5 Certona (US) Recent Development
13 Market Forecast 2018-2025
Place Direct Purchase order For Complete report @ https://www.reportsweb.com/buy&RW00012252812/buy/3900
ReportsWeb.com
Rajat Sahni
+1-646-491-9876
sales@reportsweb.com
Source: EmailWire.com
(EMAILWIRE.COM, February 08, 2019 ) A recommender system or a recommendation system is a subclass of information filtering system that seeks to predict the "rating" or "preference" a user would give to an item.
This report focuses on the global Content Recommendation Engine status, future forecast, growth opportunity, key market and key players. The study objectives are to present the Content Recommendation Engine development in United States, Europe and China.
In 2017, the global Content Recommendation Engine market size was million US$ and it is expected to reach million US$ by the end of 2025, with a CAGR of during 2018-2025.
The key players covered in this study Amazon Web Services (US), Boomtrain (US), Certona (US), Curata (US), Cxense (Norway), Dynamic Yield (US), IBM (US), Kibo Commerce (US), Outbrain (US), Revcontent (US), Taboola (US), ThinkAnalytics (UK)
Enter your information below to receive a sample copy of this report @ https://www.reportsweb.com/inquiry&RW00012252812/sample
Market segment by Type, the product can be split into
Solution
Service
Market segment by Application, split into
Media
Entertainment & Gaming
Retail & Consumer Goods
Hospitality
Others
Get Exclusive Discount on Report @ https://www.reportsweb.com/inquiry&RW00012252812/discount
The study objectives of this report are:
To analyze global Content Recommendation Engine status, future forecast, growth opportunity, key market and key players.
To present the Content Recommendation Engine development in United States, Europe and China.
To strategically profile the key players and comprehensively analyze their development plan and strategies.
To define, describe and forecast the market by product type, market and key regions.
Table of Contents
1 Report Overview
2 Global Growth Trends
3 Market Share by Key Players
4 Breakdown Data by Type and Application
5 United States
6 Europe
7 China
8 Japan
9 Southeast Asia
10 India
11 Central & South America
12 International Players Profiles
12.1 Amazon Web Services (US)
12.1.1 Amazon Web Services (US) Company Details
12.1.2 Company Description and Business Overview
12.1.3 Content Recommendation Engine Introduction
12.1.4 Amazon Web Services (US) Revenue in Content Recommendation Engine Business (2013-2018)
12.1.5 Amazon Web Services (US) Recent Development
12.2 Boomtrain (US)
12.2.1 Boomtrain (US) Company Details
12.2.2 Company Description and Business Overview
12.2.3 Content Recommendation Engine Introduction
12.2.4 Boomtrain (US) Revenue in Content Recommendation Engine Business (2013-2018)
12.2.5 Boomtrain (US) Recent Development
12.3 Certona (US)
12.3.1 Certona (US) Company Details
12.3.2 Company Description and Business Overview
12.3.3 Content Recommendation Engine Introduction
12.3.4 Certona (US) Revenue in Content Recommendation Engine Business (2013-2018)
12.3.5 Certona (US) Recent Development
13 Market Forecast 2018-2025
Place Direct Purchase order For Complete report @ https://www.reportsweb.com/buy&RW00012252812/buy/3900
ReportsWeb.com
Rajat Sahni
+1-646-491-9876
sales@reportsweb.com
Source: EmailWire.com
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