Websites using Oracle Recommendations On Demand
Description of Oracle Recommendations On Demand:
Oracle Recommendations On Demand is used by 0% of websites in the Analytics category.
Travel is the most popular main category among the websites using Oracle Recommendations On Demand.
Travel Type is the most popular subcategory among the websites that are using Oracle Recommendations On Demand.
The technologies that are most often used together with Oracle Recommendations On Demand are jQuery, Google Tag Manager, Bootstrap, jQuery UI, New Relic, OneTrust, webpack, DigiCert, Underscore.js, Lodash.
Our AI based recommender engine (trained on 100 million data points) suggests that websites using Oracle Recommendations On Demand may also be interested in using these other technologies: Drift, Criteo, DigiCert, OneTrust, Ensighten, AppNexus, Azure CDN, Taboola, Contentful, New Relic.
Top IAB Industry Verticals using Oracle Recommendations On Demand
Top 10 technologies that are most often used together with Oracle Recommendations On Demand
Technologies that are most interesting for website using Oracle Recommendations On Demand, as determined by our AI recommender
| Technology | AI Recommendation Score | Website |
|---|
| Drift | 0.24 | https://www.drift.com/ |
| Criteo | 0.2 | http://criteo.com |
| DigiCert | 0.19 | https://www.digicert.com/ |
| OneTrust | 0.18 | http://www.onetrust.com |
| Ensighten | 0.18 | https://success.ensighten.com/hc/en-us |
| AppNexus | 0.18 | http://appnexus.com |
| Azure CDN | 0.17 | https://azure.microsoft.com/en-us/services/cdn/ |
| Taboola | 0.17 | https://www.taboola.com |
| Contentful | 0.16 | http://www.contentful.com |
| New Relic | 0.15 | https://newrelic.com |
Distribution of domains using Oracle Recommendations On Demand over IAB1 verticals
Introduction to Oracle Recommendations On Demand
Oracle Recommendations On Demand is a cloud-based service that allows businesses to deliver personalized product and content recommendations to customers in real-time. Using machine learning algorithms, it analyzes customer behavior and purchase history to generate recommendations that are tailored to each individual's preferences and interests. This technology can help businesses improve customer engagement, increase sales, and enhance overall customer satisfaction.
Practical Applications
of Oracle Recommendations On Demand
1. E-commerce websites can use Oracle Recommendations On Demand to offer personalized product recommendations to their customers based on their browsing and purchase history.
2. Media and entertainment companies can use it to suggest content to users based on their viewing and listening habits.
3. Travel companies can use it to suggest personalized travel itineraries and destinations based on a user's past travel history and preferences.
4. Financial institutions can use it to offer investment and savings advice to their clients based on their financial profile and goals.
5. Healthcare companies can use it to provide personalized health recommendations and treatment plans to patients based on their medical history and symptoms.
Benefits and Advantages of Oracle Recommendations On Demand
- Personalized recommendations for customers, improving customer engagement and satisfaction
- Improved sales and revenue through targeted and relevant product recommendations
- Increased efficiency of product discovery and promotion for businesses
- Powerful machine learning algorithms that continually learn and adapt to customer behavior and preferences
- Integration with other Oracle products and platforms for seamless implementation and usage
- Real-time analytics and reporting for businesses to track and measure the success of their recommendations
Distribution of domains using Oracle Recommendations On Demand over IAB2 verticals
Most popular websites using Oracle Recommendations On Demand
Less popular websites using Oracle Recommendations On Demand
Distribution of domains using Oracle Recommendations On Demand over 1 million most popular domains
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Distribution of domains using Oracle Recommendations On Demand over domain ages
The average age of websites using Oracle Recommendations On Demand is 16 years.
The average page rank (measure of backlink strength) of websites using Oracle Recommendations On Demand is 3.09.
5 technologies that are less often used together with Oracle Recommendations On Demand
| Technology | % of use together with Oracle Recommendations On Demand | Website |
|---|
| Apache HTTP Server | 2.5 | https://httpd.apache.org/ |
| Bazaarvoice Reviews | 2.5 | https://www.bazaarvoice.com/products/ratings-and-reviews/ |
| Skai | 2.5 | https://skai.io |
| Akamai mPulse | 2.5 | https://developer.akamai.com/akamai-mpulse-real-user-monitoring-solution |
| Module Federation | 2.5 | https://webpack.js.org/concepts/module-federation/ |
