Smart content makes it easy for creators and authors to discover content.
Companies have thousands of digital assets (images, HTML pages, videos, PDFs, text, and such) in Oracle Content and Experience. These assets are valuable only when content creators, authors, and consumers can discover the content when they need it.
In order for content to be discovered, it must be tagged and classified. The content needs to be tagged with metadata describing the content and its meaning. Then the tagged content needs to be organized so that it can be found and delivered in the right context at the right time.
Up until now this tagging and classification has been a manual process. A median enterprise might spend hundreds of hours to tag and classify content, plus additional time to maintain accuracy. Failing to keep up with content tagging and classification leads to content discovery problems.
Oracle wanted to find a way to make content discoverable without the need for manual tagging and classification, and take it a step further and recommend the right assets without the user even needing to search.
Smart content is Oracle Content and Experience's answer. We use artificial intelligence (AI) to analyze content, improving content discovery. Smart content includes the following features:
- Smart search, which analyzes images and returns relevant images without the need for manual tagging. This improves the discoverability of images without having to painstakingly tag images.
- Smart authoring, which recommends the right images during the authoring process. Users don't need to tag or search for images; images will be recommended based on the intent expressed in the current article.
How Smart Content Works
The backbone of smart content primarily consists of two types of AI models:
- Computer vision models that are trained on millions of images to detect the relevant objects and parameters in new images. As new images are uploaded into repositories, they're automatically tagged to improve discoverability. When a user performs a search, the most relevant results are returned based on those automatic tags. Oracle Content and Experience also shows smart keywords (recommended keywords) to help users further refine their search.
Note:You can still manually tag assets as needed to further improve the accuracy of search results.
- Natural language processing (NLP) models that can derive the main intent from an article. This intent is used to recommend relevant images by matching the article intent to the automatic tags generated using the above computer vision models.
Smart content is enabled by default for any new repositories you create. For existing repositories, your repository administrator needs to manually enable smart content.
When a user searches for assets, Oracle Content and Experience will recommend search keywords.
When a user creates a content item that includes an image, Oracle Content and Experience will determine the intent of the article and suggest relevant images.
Frequently Asked Questions
- Is there a way to turn off smart content and undo any related changes?
- How do I improve search behavior when smart search doesn't find the asset I'm looking for?
If smart search doesn’t return the complete and accurate results for a search keyword, you can manually tag assets with the specific search terms you're looking for.
- Why aren't machine tags displayed on images?
Machine tags aren't meant to be manually curated. Oracle Content and Experience analyzes images based on as many parameters and attributes as possible, leading to dozens of machine tags. In addition, our AI models are constantly improving, so machine tagging gets better as new images are added. If you're not able to find what you're looking for, you can always add manual tags. Oracle Content and Experience gives the highest importance to manual tags when returning results.
- Does data leave Oracle servers?
- Is any of our usage data being logged?
Oracle Content and Experience does non anonymous logging to understand usage of the functionality in an effort to improve the service.