Augmented Search Queries

Knowledge Base Enrichment Through Images and ML

Google has deployed Machine Learning like never before to actually read and understand images without human annotation. This is currently being applied to identify relationships between entities and attributes, which are saved into Knowledge Bases and displayed as rich data in SERPs. Knowledge Bases Knowledge bases are repositories of structured and unstructured data. Knowledge bases …

Knowledge Base Enrichment Through Images and ML Read More »

How Google Enforces Category Diversity In Local Search Results

Google is currently enforcing local search result diversity through a category system, which utilises a mathematical function to scale initial SERPs. This function resembles a logarithmic scale, where the more of a single category results there are, the less likely content of that type is to rank. Search Results Diversity in 2013 Matt Cutts first …

How Google Enforces Category Diversity In Local Search Results Read More »

Using Google’s Image Classification to Rank in Local SEO Image Queries

Google’s “Image Classification of Landmarks” can be used to drive more foot traffic to local businesses. This is through utilising what Google calls “trigger words,” and is derived from their patented image recognition and categorisation strategies. Introduction In 2008, Flickr became the leading image repository on the internet. It was thought that Google, and Yahoo, …

Using Google’s Image Classification to Rank in Local SEO Image Queries Read More »

Google’s Augmented Search Queries and Hybrid Search Results

Google recently patented a method of “augmenting search queries,” which is based on entities and attributes of nouns. These are used behind-the-scenes during a query to create additional Search Results based on the augmented search queries. These augmented results are mixed into the original search engine results page (SERP), resulting in the formation of a …

Google’s Augmented Search Queries and Hybrid Search Results Read More »