Google’s Pierre Far announced on his Google+ page that Google was releasing a new Panda update that supposedly included some new signals that could potentially help “identify low-quality content more precisely.”
The Google+ post also tells us that this change can help lead to a “greater diversity of high-quality small- and medium-sized sites ranking higher, which is nice.”
A new patent application shows off a quality scoring approach for content, based upon phrases. More on that patent filing below, but it might have something to do with this update.
So it sounds like this release of the Panda update could potentially be good news for some sites that were impacted by Panda in the past.
Continue reading “New Panda Update; New Panda Patent Application”
Query Classification can be challenging for a search engine based upon the query itself.
For example, How would you do query classification based on the query “lincoln?”
President Abraham Lincoln
The location, Lincoln, Nebraska
Continue reading “Query Classification from User Data”
In the past few years, Google has been busy building what has become known as the Google Brain team, which started out by having its deep learning approach watching videos until it learned to recognize cats. Unsurprising that Google would start using something like Deep Learning Classification to fight web spam.
Google has been hiring a number of people to add to the abilities of their deep learning team, including a pricy acqui-hire in the UK earlier this year, as described in More on DeepMind: AI Startup to Work Directly With Google’s Search Team
Deep Learning Classification Patent
Continue reading “Google Turns to Deep Learning Classification to Fight Web Spam”
In creating a knowledge base, there seem to be a number of approaches that can be used to supply entities and facts from sources like web pages and query logs.
In my last post, I wrote about how search queries might be used, along with linguistic patterns, to extract attributes about facts from those search queries, as described in a patent titled Inferring attributes from search queries.
A Microsoft paper from 2009, Named Entity Recognition in Query, tells of a manual analysis they performed of 1,000 queries, and told us that 70% of those queries contained named entities.
So entities do appear in queries, and Google receives a lot of queries a day (as does Microsoft and Yahoo).
Continue reading “Extracting Semantic Classes from Web Pages and Query Logs”
Searchers Queries Teach Google About Entity Attributes
Millions of searches stream into Google every day as people try to meet their informational and situational needs. But those searches don’t disappear after the searches. They provide Google with some very interesting and useful information in return. For instance, they tell Google what people are interested in real time – right at this moment.
Those queries can also help Google populate its knowledge base with more information as well, about entity attributes
When Google collects information about entities – people, places, and things, including products and brands, it might collect facts about those entities and information about entity attributes.
Continue reading “Google Adds Entity Attributes to its Knowledge Base from Queries”