Disrupted Search Engines – how Google is using AI to improve search results – until people stop searching
Continual self disruption keeps Google ahead of the pack until Facebook brings out its own search and/or people stop searching
In simplistic terms, Google answers search queries by presenting a series of well cited pages that most closely resemble the search string. Consumers use of search is relatively unsophisticated and commonly is a simple quasi question like, “car insurance BMW”.
Google Rankbrain from ExpressWriters
Search users are slowly becoming more sophisticated though and asking more complex real questions such as, “find me a holiday for a family of 4 near a waterpark less than 4 hours flying time from London” – that’s where Google currently struggles – below is a good view from Eric Enge on how Google is improving its search result quality with Rankbrain – its newish AI powerered algorithm.
However, and it’s a big however, 50% of new millennials don’t use search at all – they are simply told stuff by other people – combined with AI assistants like SIRI and Google NOW being pre-emptive. . . search may actually be decreasing. . .
From Fast company: “A new study offers a peek behind the scenes at how Google structures its search results. The study focuses on how Google’s RankBrain algorithm, which was first announced in October 2015, parses the English language. It’s one of the most detailed efforts to understand the algorithm to date.
“Google improved in about 55% of the queries that they didn’t understand back in July of 2015,” study author Eric Enge told Fast Company. “Honestly, I think that’s pretty amazing.”
Enge, who works for marketing consulting firm Stone Temple, focused on how RankBrain works compared to other Google machine learning products. He then made inferences on RankBrain’s behavior and results, which is something Google has not extensively discussed publicly.
In order to conduct the study, Stone Temple compared a sample set of 1.4 million pre-RankBrain queries to Google’s current search engine. They then analyzed a small remnant of search queries from the older set for which Google didn’t provide appropriate results.
After the launch of RankBrain, 54.6% of search queries that previously returned irrelevant results began returning appropriate results.
Some of these hard-to-resolve searches included queries like “What is low in the army” (Where the searcher is believed to have been searching for “what is low rank in the army”) and “Why are PDFs so weak” (Which, in the older version, first showed PDFs with the word “weak” rather than results about the security of PDF files). Stone Temple also saw what appear to be improvements surrounding specific phrases like “What is,” “Who is,” and “Where is.”
“We also found certain specific classes of phrases they handle better,” Enge said. These certain misspellings, such as when users misspell “Qatar” (the country) as “Cutter.”
One of the things Enge emphasized in the report is that he believes RankBrain has a negligible effect on SEO. He writes that it “simply (does) a better job of matching user queries with your web pages, so you’d arguably be less dependent on having all the words from the user query on your page.” The biggest changes from RankBrain, he added, have to do with increasing search quality and creating a likely framework for Google to apply further machine learning improvements to its search engine”….more…