Google’s Mouse-Driven Relevancy Patent

[Covario Blog : Actionable Insights]  Last month Google was awarded a patent on a filing made in 2005. This particular Google patent [#7,756,887] is all about using behavioral data that is used to help refine search results. This month, we’ve been able to corroborate its use in Google one-box results.

Google’s search results tuning algorithms allocate different weights to different time periods. For example, hovering over one particular spot of a search results page for a longer period of time is equivalent to searchers forming a more positive opinion about the indexed listing.  So a searcher that hovers over a search engine snippet as if using the mouse to read the listing line-by-line infers a very high level of attention and consequently, more time spent over a particular spot on the search results pages. This is also another great reason to write compelling meta descriptions when optimizing your website.

Read the rest of the article: Google’s Mouse-Driven Relevancy Patent by PJ Fusco

Comments off

Google “Brand” Refinements

[Covario Blog : Actionable Insights] Generally speaking, search engine queries can be classified into a specificity scale. One end of the spectrum consists of predominantly generic terms, like “shoes” or “cameras”. On the opposite end of the scale, search queries become more specific, like “womens mossimo vida peep-toe black patent leather pumps” or “canon powershot 12.1 megapixel digital cameras”. The more specific the phrasing, the greater the likelihood that the search query will be brand-influenced.

Because general search terms generate very broad-based results, search engines rarely return the exact content that would-be shoppers seek. Toward this end, Google has recently focused on leveraging brand preferences as a way to provide search engine users with one-click access to more specific subsequent search queries.

Read the rest of the article: Google “Brand” Refinements by PJ Fusco

Comments off