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Content Recommendation Engine Technology in Future Market: 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

04-09-2019 03:18 PM CET | IT, New Media & Software

Press release from: ReportsWeb

ReportsWeb

ReportsWeb

Content recommendation engine is an analytic tool to generate meaningful recommendations to specific users about products or items they might be interested in. Content recommendation engine works on the search keywords used by the user, which help in describing the items the user is looking for, as well as on the user profile, which later helps in indicating the type of items or products the user prefers. In order to create a user profile, the
recommendation engine focuses on the history of the user’s interactions with the engine. For instance, recommending news articles on the basis of browsing of news is useful; however, what is desirable is when music, videos, and products from different services are also recommended to the user based on his browsing history.

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)

Get sample copy of “Content Recommendation Engine ”at: 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

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

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Contact Info:
Name: Sameer Joshi
Organization: ReportsWeb
Email: sales@reportsweb.com
Phone: +1-646-491-9876

About ReportsWeb:
ReportsWeb.com is a one stop shop of market research reports and solutions to various companies across the globe. We help our clients in their decision support system by helping them choose most relevant and cost effective research reports and solutions from various publishers. We provide best in class customer service and our customer support team is always available to help you on your research queries.

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