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Microsoft patent on website and site content reliability scores for Bing Search ranking

avenueadsBy avenueads7 November 2023Updated:5 January 2024No Comments4 Mins Read
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Microsoft has launched a patent named Net Content material Reliability Classification that talks about develop a reliability rating for a web site or content material on a web site. The patent looks as if it may be utilized by the Bing Search workforce for higher rating of internet sites and net content material, however that doesn’t imply it’s at present getting used within the Bing Search outcomes right now.

The patent was revealed on November 2, 2023 after being filed on July 5, 2023 – you may read it over here.

Highlights. Listed below are some attention-grabbing highlights from this patent software.

  • The reliability rating can be utilized to dam content material, rank content material, present a content material warning, and choose a supply to reply a query, together with different makes use of.
  • Site visitors information can point out whether or not a supply is fashionable, however fashionable is just not the identical factor as dependable.
  • Pure language processing can be utilized to find out whether or not on-line content material is grammatical, however grammatical can be not the identical factor as dependable.
  • The current know-how identifies dependable content material by leveraging skilled scoring for a small quantity of net content material by iteratively extending these scores to different content material based mostly on how net content material is linked.
  • Person interactions can also be leveraged for figuring out a reliability rating as nicely
  • The excessive reliability rating is generated by first figuring out excessive reliability on-line content material inside an internet graph.
  • These initially scored websites could also be described as seed websites.
  • Scores for the seed websites could also be taken from authoritative lists of recognized dependable content material suppliers
  • An output of the know-how is a excessive reliability rating and a low reliability rating for an internet content material.
  • Completely different functions can devour this rating to carry out or information totally different features, together with search, filtering, content material warning technology, and the like.

The summary. Right here is the summary of the patent:

Expertise described herein assigns a reliability rating to net content material, equivalent to a website or portion of a web site. In a single facet, an output of the know-how is a excessive reliability rating and a low reliability rating for an internet content material. The excessive reliability rating represents conformance to excessive reliability websites, whereas the low reliability rating represents conformance to low reliability websites. The excessive reliability rating could also be generated by first figuring out excessive reliability on-line content material inside a compressed net graph. In a primary iteration, the excessive reliability rating of the seeds is used to attain on-line content material that’s linked to the seed websites. At a excessive degree, the extra hyperlinks that originate from excessive reliability sources, the upper the reliability rating for the linked content material. The low reliability rating is comparable, however makes use of outgoing hyperlinks to low reliability websites as an alternative of incoming hyperlinks from excessive reliability websites.

Why we care. Many SEOs get pleasure from studying patent paperwork from the Google and Bing Search groups. Whereas we all know that simply because a patent has been filed, it doesn’t imply a search engine is utilizing the know-how as described within the patent within the dwell search outcomes. Both approach, it may be academic and helpful to know how these search scientists who work at Google and Bing take into consideration these rating and scoring challenges.

Hat tip to Glenn Gabe for recognizing this patent.


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In regards to the creator

Barry Schwartz

Barry Schwartz is a Contributing Editor to Search Engine Land and a member of the programming workforce for SMX occasions. He owns RustyBrick, a NY based mostly net consulting agency. He additionally runs Search Engine Roundtable, a preferred search weblog on very superior SEM subjects. Barry will be adopted on Twitter here.

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