It is a different example for Entity-Clustering and Definition

bowade6207

In the following period, Google combined all its patents in the Link-Clustering theme with different features such as 'People Also Ask For' or 'Related Searches' or 'Did you mean this'. Then, he applied this situation with Knowledge-Graphs, video results or image results, maps and news plug-ins, in a way that is compatible even with mobile devices, instead of the long SERP in the image. What is Entity-Clustering? Entity Clustering emerged when Link-Graph was transformed into Knowledge-Graph and used in a way that feeds each other, in the process of no longer being a Keyword-based Search Engine. At this point, I explained many different concepts such as Topic Clusters, Topical Layers and Topical Authority during the webinar, but they will still be included in the conclusion as a single sentence. What is Entity-Based Search.

Transition Process from Keyword-Based Search Engines to Entity-Based Life Guides and Entity-Optimised Content Production A separate patent called Clustering Search Results was used for Entity Clustering. For this purpose, it was aimed to group Search Country Email List Items and classify their relationships. For example, Products, Comparisons, Images, Brands, E-commerce sites, sites containing information and suggestions, sellers on maps, blogs and more that you encounter in the Mobile Phone query are completely defined as Search Items. Then, all of these items are product, person, organization, book, blog, newspaper, localbusiness etc. It was collected in the form of entity-based.





They were then classified according to their authoritarianism and relevance. What is Entity-Based Search? Transition Process from Keyword-Based Search Engines to Entity-Based Life Guides and Entity-Optimised Content Production This image you see in the patent shows the same process performed in the AppStore. Within Entity Clustering, there are also different scores called Similarity Score and different systems such as Entity Ontology. For example, Entity Ontology was checking whether one Entity and another were Synonyms or whether there was a Parent/Child or similar Different relationship between them. I believe that when you know all this, you will better understand how the Search Engine will perceive a content and how it will construct the Named Entity Recognition process.