Identifying Subjective Attributes Of Entities

Identifying UGC Subjective Attributes Of Entities This recently granted patent is about identifying subjective attributes of entities. I haven’t seen a patent about subjective attributes of entities, or responses to those entities. One important aspect of it is that it is user-generated content. We get told that user-generated content (UGC) is becoming more common on … Read more

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Generating Query Answers

This recently granted Google patent generally relates to generating query answers. Since this patent focuses so much on Semantic SEO. It reminded me of other Google patents that were about that topic, including these two, which are worth reading throug…

Answering Queries With A Knowledge Graph

How Do Knowledge Graphs And Search Work Together? There are at least a couple of processes that search and knowledge graphs can work together. Rewriting Queries – A search engine understands the data from apps on a mobile device and rewritesg queries from that device using that data, which I explored in detail in the … Read more

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An Image Content Analysis And A Geo-Semantic Index For Recommendations

This Patent Uses A Image Content Analysis With A Geo-Semantic Index To Build Search Recommendations It’s interesting seeing Google combining Google Maps with a better understanding of the Semantic Composition of areas within that map, analyzing images from sources such as streetviews. This patent reminded me of another one recently granted to Google, which I … Read more

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BERT Question-Answering at Google

BERT Question-Answering A Patent granted to Google on May 11, 2021, involves performing Natural language processing (“NLP”) tasks such as question answering. It relies on a language model that has been pre-trained using world knowledge. The patent tells us that recent advances in language-model pre-training have resulted in language models such as Bidirectional Encoder Representations … Read more

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Can Bing Be More Competitive In Search?

Recently, Nathan Safran wrote a piece titled, “The Bing Dilemma: What To Do With The Little Search Engine That Can’t.” In it, he posits that everything Bing has done in the past to grab market share is not working, partly because people are so used to using Google that any hope of…

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2014 SEO Roadmap: Adopting Semantic Markup

In Google’s relentless pursuit of organizing the world’s information, the most exciting shift we’ve seen over the last year is about its ability to understand the “meaning” behind content (via the Knowledge Graph) and queries (via its Hummingbird algorithm update). In…

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Future SEO: Understanding Entity Search

Last month, I asked you to imagine the future of SEO with a focus on Entity Optimization as I interviewed veteran semantic strategist Barbara Starr. We discussed an “answer engine” that uses relevant, machine-recognizable “entities” on Web pages to answer specific,…

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10 Reasons Why Search Is In Vogue: Hot Trends In Semantic Search

Search is strongly featured in the all-important September issue of Vogue, which includes a 10-page layout of models wearing Google Glass, along with an in-depth feature on Yahoo CEO, Marissa Meyer, looking simply stunning and chic. Google Glass and th…

Future SEO: String Entity Optimization

Imagine the future of SEO — a future in which you forget about using keywords or their synonyms multiple times on a page. In the future, this will be obsolete. Search engines of the future will provide users with answers to their queries by internally verifying validated data that link to…

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Search, Answers & Knowledge Graphs Galore

Google is leveraging the knowledge graph brilliantly, while others have their own version of knowledge graph search. As the knowledge graph changes the SERPs, Google is pushing adoption of semantic technology, gradually replacing its traditional SERPs based on links. The search giant’s…

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