Machines do not have the common sense that humans do. Where a consumer easily distinguishes between hotel packages, an algorithm-based intelligence might classify as duplicate content. What can be done to distinguish content is explored in more detail below.
Internet pages use duplicate content. This is efficient and makes browsing easier for users. Knowing where to find things like prices and details of similar travel packages makes website pages more alluring to consumers. Essentially, duplicate content provides users with organized content and website owners with more efficient information dissemination. However, the things that make websites more user-friendly tends to stump even some elaborate artificial intelligence.
Machine learning is a branch of artificial intelligence that uses complex algorithms and analysis to operate unprogrammed functions. This technology has advanced quite a bit in recent years and expects to continue its rapid development and application. At the moment, machine learning still encounters the challenges of properly identifying duplicate content in three major areas. Keyword and canonical rankings, as well as, site authority, are areas that website owners need to be aware of.
While the actions of companies like Google are out of the control of website owners, there are still several effective actions that can be taken. The solutions include:
- limiting facets
- resolving edge cases
- ranked reference pages
- creating unique content
- page combining
The facets allowed for Google indexing can be limited. Maintaining ranked facets can solve some index issues. Edge cases can be resolved through anchoring. Google can be signaledthrough distinct anchors to treat pages differently when their similarity is less than 20%. For very similar pages, content can be changed or the pages merged into one. Google patented a Simhash algorithm to determine the similarities between pages. There are specific ways that content can be differentiated. This often involves adding a significant amount of unique content in text, media, URL, coding, and others. When altering content is not practical, a reference page can be used in place of seemingly duplicate pages. This acts as a content hub for things like multiple versions of a product.
Humans and machine learning are only beginning to get to know each other. Solutions are there. Both just need a little common sense.