Post by taslima on Feb 14, 2024 8:58:40 GMT
It’s also possible with RankBrain that searchers’ engagement with the search results is a factor in how it determines the relevancy of a result. According to Google’s Gary Illyes on Reddit, RankBrain is a PR-sexy machine learning ranking component that uses historical search data to predict what would a user most likely click on for a previously unseen query. It is a really cool piece of engineering that saved our butts countless times whenever traditional algos were like, e.g. “oh look a “not” in the query string! let’s ignore the hell out of it!”, but it’s generally just relying on (sometimes) months old data about what happened on the results page itself, not on the landing page.
Dwell time, CTR, … those are generally made up crap. Search is much more simple than people think. OK, if it changes the target, then it is always right. If you change the results to match a user-intent profile, then Denmark Email List in the future, all clicks would match that profile since that is all there is. Are all searches for a particular keyword always informational? RankBrain may think so and push out ecommerce sites from the results. Fortunately, it is often correct. Hazards: No specific losers, although sites won’t be found relevant that have shallow content, poor UX, or unfocused subject matter. Winners: Sites creating niche content and focusing on keyword intent have a better chance of ranking. Learn more: The REAL Impact of RankBrain on Web Traffic Google Q&A+ (around 30 mins.) How Google is Remaking Itself as a “Machine Learning First” Company Google: Here’s How to Optimize for Google’s RankBrain July 2015 – Panda Update 4.2 For more information on this update, please see the Panda section below.
May 2015 – Quality Update to Core Algorithm Google confirmed a change to its algorithm (although not right away) on how it processed quality signals. Google stated that the update wasn’t intended to target any particular sites or class of sites, but was an update to the overall ranking algorithm itself. April 2015 – Mobile-Friendly Update (“Mobilegeddon”) Google announced ahead of time in February and then confirmed in April its mobile-friendly update was rolling out that would boost the rankings of mobile-friendly pages. This update laid the foundation for Google’s mobile-first search mechanism. The update underlined mobile-friendliness as a ranking signal and laid the foundation for the way Google’s mobile-first search mechanism works today. It was fun watching ecommerce sites try to fit 700 navigation links into a mobile menu.
Dwell time, CTR, … those are generally made up crap. Search is much more simple than people think. OK, if it changes the target, then it is always right. If you change the results to match a user-intent profile, then Denmark Email List in the future, all clicks would match that profile since that is all there is. Are all searches for a particular keyword always informational? RankBrain may think so and push out ecommerce sites from the results. Fortunately, it is often correct. Hazards: No specific losers, although sites won’t be found relevant that have shallow content, poor UX, or unfocused subject matter. Winners: Sites creating niche content and focusing on keyword intent have a better chance of ranking. Learn more: The REAL Impact of RankBrain on Web Traffic Google Q&A+ (around 30 mins.) How Google is Remaking Itself as a “Machine Learning First” Company Google: Here’s How to Optimize for Google’s RankBrain July 2015 – Panda Update 4.2 For more information on this update, please see the Panda section below.
May 2015 – Quality Update to Core Algorithm Google confirmed a change to its algorithm (although not right away) on how it processed quality signals. Google stated that the update wasn’t intended to target any particular sites or class of sites, but was an update to the overall ranking algorithm itself. April 2015 – Mobile-Friendly Update (“Mobilegeddon”) Google announced ahead of time in February and then confirmed in April its mobile-friendly update was rolling out that would boost the rankings of mobile-friendly pages. This update laid the foundation for Google’s mobile-first search mechanism. The update underlined mobile-friendliness as a ranking signal and laid the foundation for the way Google’s mobile-first search mechanism works today. It was fun watching ecommerce sites try to fit 700 navigation links into a mobile menu.