Post by account_disabled on Jan 10, 2024 10:36:33 GMT
To sites that, despite not following any of the classic SEO techniques, were cited in numerous websites or blogs, with links without an optimized anchor text, or directly, without a link (only as a mention). And the search engine could determine that these sites were relevant for some searches or keywords, because it would have developed the ability to read the important words in the context of the links or mentions, and not in the anchor text. In other words, Google would read the words that accompany the mention of a website (with or without a link), in order to determine the topics and keywords to which it is related. Rand’s predictions caused a small revolt in the SEO world. And not surprisingly, many specialists in this field began to investigate the subject themselves. I find particularly interesting a post by Joshua Giardino, who shows his disagreement with Rand, claiming that, in order for Google to be able to achieve something like co-occurrence, it would have to have: a large ability to process natural.
Languageand a ontology (recognize entities such as people, places and things), very advanced. Joshua says that while Google is developing all these potentialities, as demonstrated by the performance Country Email List of Google knowledge, the anomalous results detected by Rand can be explained by analyzing them from the point of view of classical SEO. Giardino does acknowledge, however, that co-occurrence could be a part of the Penguin algorithm, which, as you may know, acts on an ad hoc basis. Indicia of co-citation and co-occurrence in Google patents. Whether or not Rand Fishkin’s predictions were hasty, the fact is that on November 27, 2012 (11 days after MOZ’s post), Google received approval of a patent entitled. Documents ranking using word relationships (“document ranking using word relationships”), which points to co-occurrence as another factor influencing rankings. image-patent-google-word-relationships Image extracted from Google’s patent: co-occurrence consists of word relationships.
In addition, one should take into account the progress that Google has made with its algorithm since the possibility of co-occurrence began to be speculated. The key concept here is Hummingbird. Indeed, Google’s new algorithm, which made its appearance on August 30, 2013, was a major breakthrough in natural language processing that made it possible, among other things, for users to engage with the search engine in question/answer terms. What about co-citation? Curiously enough, ten days before the launch of Hummingbird, Google published a patent that proposed the grouping of close links to classify them by topic. Co-citation between documents Image extracted from Google’s patent: various document models with and without co-citation. Everything seems to indicate that both co-citation and co-occurrence are.
Languageand a ontology (recognize entities such as people, places and things), very advanced. Joshua says that while Google is developing all these potentialities, as demonstrated by the performance Country Email List of Google knowledge, the anomalous results detected by Rand can be explained by analyzing them from the point of view of classical SEO. Giardino does acknowledge, however, that co-occurrence could be a part of the Penguin algorithm, which, as you may know, acts on an ad hoc basis. Indicia of co-citation and co-occurrence in Google patents. Whether or not Rand Fishkin’s predictions were hasty, the fact is that on November 27, 2012 (11 days after MOZ’s post), Google received approval of a patent entitled. Documents ranking using word relationships (“document ranking using word relationships”), which points to co-occurrence as another factor influencing rankings. image-patent-google-word-relationships Image extracted from Google’s patent: co-occurrence consists of word relationships.
In addition, one should take into account the progress that Google has made with its algorithm since the possibility of co-occurrence began to be speculated. The key concept here is Hummingbird. Indeed, Google’s new algorithm, which made its appearance on August 30, 2013, was a major breakthrough in natural language processing that made it possible, among other things, for users to engage with the search engine in question/answer terms. What about co-citation? Curiously enough, ten days before the launch of Hummingbird, Google published a patent that proposed the grouping of close links to classify them by topic. Co-citation between documents Image extracted from Google’s patent: various document models with and without co-citation. Everything seems to indicate that both co-citation and co-occurrence are.