You have print and web-only articles. Archives of them. You have products. Lots of them. You promote events and sell classifieds and directory listings. Whether you’re in Editorial, Marketing, Sales, or web site production, you spend your day entering and refining content for consumption on your web site.
One of the most intense exercises is the assignment of taxonomy: topics and keywords that organize and relate your content and products.
At ePublishing, we understand that you need options. Sometimes you want to control the explicit relationships between your articles and products. Sometimes your Editor or SEO guru needs fine-grained control over the topics and keywords assigned to those articles and products.
You want to make sure that a visitor looking at Article A is also shown Product B that relates to it because that could turn into a sale. And sometimes you need a system that can take care of that for you and let you move on to the next task.
ePublishing recently launched the latest advances to its search and content relationship tools. When viewing a story, product, or event, you now can control:
- The number of articles, products, and events that show up as related to that story
- Content that is explicitly related to that story (through an “override function” to relate content that may not have keywords in common)
How does it work?
Let’s say you tagged an article to relate it to a product, but you want 5 related articles to display. Just let the ePublishing relationship engine fill in the remaining 4 articles for you. It happens automatically and without one button click from you.
You may be thinking, “But how relevant are those results really going to be with just a ‘search’”. This is where the ePublishing search algorithm comes into play. The algorithm “weights” key words to ensure, for example, that articles with a headline matching keywords in the product name will be found first.
Then, articles with topic and keywords matching the product’s topic and keywords are found next. We also examine the teaser copy, body and description copy, author names, and on down the line. We use this approach in order to automate the display of only the most relevant content relationships, but it is all controlled by your Editorial or Marketing staff.
The new ePublishing Search Engine combines the best of both worlds – precise editorial and marketing control coupled with ease of use and automation.