Question Answering Using Text Spans With Word Vectors
Question Answering Using Neural Networks Google performs question answering of queries and returns URLs in response to queries. Google shows answers when the intent of a searcher is to expect an answer for a question and to provide a list of links to U…
How is a Knowledge Panel for an Entity Triggered?
This patent is about presenting data with search results and deciding when to show that data in a knowledge panel with those search results. The Web provides access to a wide variety of resources, such as image files, audio files, video files, and web …
Semantic search drives expanded outreach to potential customers
To reach potential customers, retailers must connect with those already interested in their products. Semantic search helps broaden the net to maximize interest.
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How to analyze on-page copy quality
How to tell if your content quality is high enough for Google to be willing to rank the page high enough? Here are a few tools to help you out.
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Adjusting Featured Snippet Answers by Context
How Are Featured Snippet Answers Decided Upon? I recently wrote about Featured Snippet Answer Scores Ranking Signals. In that post, I described how Google was likely using query dependent and query independent ranking signals to create answer scores for queries that were looking like they wanted answers. One of the inventors of that patent from … Read more Adjusting Featured Snippet Answers by Context
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Bursty Fresh and Local Featured Snippet Answers at Google
Featured Snippet Answers Based on Context Last month I wrote about answer passages when Google decides what answers to show in response to queries that are asking questions, in the post, Featured Snippet Answer Scores Ranking Signals. In that post, I wrote about an updated patent which made it clear that passages that might be … Read more Bursty Fresh and Local Featured Snippet Answers at Google
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Featured Snippet Answer Scores Ranking Signals
Calculating Featured Snippet Answer Scores An update this week to a patent tells us how Google may score featured snippet answers. When a search engine ranks search results in response to a query, it may use a combination of query dependant and query independent ranking signals to determine those rankings. A query dependant signal may … Read more Featured Snippet Answer Scores Ranking Signals
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Entity Seeking Queries and Semantic Dependency Trees
Entity Seeking Queries and Semantic Dependency Trees Queries for some searches may be looking for one or more entities. Someone may ask something like, “What is the hotel that looks like a sail.” That query may be looking for an entity that is the building, the Burj Al Arab Jumeirah. Those entities may be identified … Read more Entity Seeking Queries and Semantic Dependency Trees
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How Google May Annotate Images to Improve Search Results
How might Google improve on information from sources such as knowledge bases to help them answer search queries? That information may be learned from or inferred from sources outside of those knowledge bases when Google may: Analyze and annotate images Consider other data sources A recent Google patent on this topic defines knowledge bases for … Read more How Google May Annotate Images to Improve Search Results
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How Google May Annotate Images to Improve Search Results
How might Google be trying to improve upon the information that they learn from sources such as knowledge bases to help them answer search queries? The information they may use to enrich a knowledge base may be learned or inferred from outside of those knowledge bases from: Analyzing images other data sources This patent defines … Continue reading “How Google May Annotate Images to Improve Search Results”
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Google Has Updated Quote Searching to Focus on Videos
Searching for Quotes has shifted at Google with an Updated Continuation Patent In August of 2017, I wrote the post Google Searching Quotes of Entities. I wrote about the patent Systems and methods for searching quotes of entities using a database. This patent was updated last year (February 2019) with a continuation patent. I like … Read more Google Has Updated Quote Searching to Focus on Videos
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The beginner’s guide to semantic search: Examples and tools
“Semantics” refers to the concepts or ideas conveyed by words, and semantic analysis is making any topic (or search query) easy for a machine to understand.
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The beginner’s guide to semantic search: Examples and tools
“Semantics” refers to the concepts or ideas conveyed by words, and semantic analysis is making any topic (or search query) easy for a machine to understand.
The post The beginner’s guide to semantic search: Examples and tools appeared first on Search Engine Watch.
User-Specific Knowledge Graphs to Support Queries and Predictions
A recently granted patent from Google is about supporting querying and predictions, and it does this by focusing on user-specific knowledge graphs. Those User Specific Knowledge Graphs can be specific to particular users. This means Google can use those graphs to provide results in response to one or more queries submitted by the user, and/or … Continue reading “User-Specific Knowledge Graphs to Support Queries and Predictions”
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Augmented Search Queries Using Knowledge Graph Information
What are Augmented Search Queries? Last year, I wrote a post called Quality Scores for Queries: Structured Data, Synthetic Queries and Augmentation Queries, which told us that Google may look at query logs and structured data (table data and schema data) related to a site to create augmentation queries, and evaluate information about searches for … Continue reading “Augmented Search Queries Using Knowledge Graph Information”
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Google Knowledge Graph Reconciliation
Exploring how Google’s knowledge graph works can provide some insights into how is growing and improving and may influence what we see on the web. A newly granted Google patent from the end of last month tells us about one way that Google is using to improve the amount of data that its knowledge graph … Continue reading “Google Knowledge Graph Reconciliation”
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Semantic search for Google Ads: What it is and why it matters
Understanding match types is key if you want to benefit from semantic search. How to craft your Google Ads’ strategy to target the right searchers.
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How Google’s Knowledge Graph Updates Itself by Answering Questions
How A Knowledge Graph Updates Itself unsplash-logoElijah Hail To those of us who are used to doing Search Engine Optimization, we’ve been looking at URLs filled with content, and links between that content, and how algorithms such as PageRank (based upon links pointed between pages) and information retrieval scores based upon the relevance of that … Continue reading “How Google’s Knowledge Graph Updates Itself by Answering Questions”
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Schema, Structured Data, and Scattered Databases such as the World Wide Web
I spoke at SMX Advanced this week on Schema markup and Structured Data, as part of an introduction to its use at Google. I had the chance to visit Seattle, and tour some of it. I took some photos, but would like to go back sometimes and take a few more, and see more of […]
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3 Ways Query Stream Ontologies Change Search
What are query stream ontologies, and how might they change search? Search engines trained us to use keywords when we searched – to try to guess what words or phrases might be the best ones to use to try to find something we are interested in. That we might have a situational or informational need […]
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