I’ve written a couple of posts about patents at Google on personalized knowledge graphs (a topic worth thinking about seriously). When Google introduced the “Knowledge Graph” in 2012, they told us about just one knowledge graph. But it appears that they didn’t intend the idea of a knowledge graph to be a singular one – … Read more Where will we go with Personalized Knowledge Graphs?
Entity Seeking Queries and Semantic Dependency Trees Queries for some searches may be entity seeking queries. Someone may ask, “What is the hotel that looks like a sail.” That query may look for an entity such as the building, the Burj Al Arab Jumeirah. That entity may be identified by looking at Semantic Dependency Trees, … Read more Entity Seeking Queries and Semantic Dependency Trees
Changes to How Google Might Rank Image Search Results We are seeing more machine learning in how Google ranks pages and images in search results. That may leave what we know as traditional, or old school ranking signals behind. It is worth looking at those older ranking signals because they may play a role in … Read more How Google Might Rank Image Search Results
A Well-Formed Query Helps a Search Engine Understand User Intent Behind the Query To start this post, I wanted to include a couple of whitepapers with authors from Google. The authors of the first paper are inventors of a patent application from April 28, 2020. It is good seeing a white paper from the inventors … Read more A Well-Formed Query Helps Search Engines Understand User Intent in the Query
I worked for the Courts of Delaware at Superior Court. I started working there as the Assistant Criminal Deputy Prothonotary. I changed jobs after 7 years there, and I became a Mini/Micro Computer Network Administrator. The Court used an old English title for the first position meaning I supervised Court Clerks in the Criminal Department … Read more Job Search Engine Using Occupation Vectors