Generation and use of topic graph for content authoring

    公开(公告)号:US12050612B2

    公开(公告)日:2024-07-30

    申请号:US17895863

    申请日:2022-08-25

    CPC classification number: G06F16/24578 G06F16/285 G06Q30/0201

    Abstract: A system generates a topic graph based on the SERP data for high-ranking keywords in a search engine. Clustering may be based on (for example) degrees of intersection between links in search results of keywords from the SERP data, or keyword embeddings on the SERP data. The topic graph loosely clusters the keywords, such that the keywords have at least a threshold degree of similarity to their clusters, but not necessarily to all the other keywords in the cluster. As a consequence of the loose clustering, a given topic contains keywords that represent different aspects of the same concept, such that a content viewer would likely be interested in a piece of content that addresses the different aspects, and a search engine would be more likely to highly rank the content within its search results for one of the keywords. The system may also provide a user interface permitting a user to browse and filter the topics in the topic graph according to search criteria, as well as to see the topics ordered according to topic ROI estimates computed by the system.

    Analysis and restructuring of web pages of a web site

    公开(公告)号:US12216985B2

    公开(公告)日:2025-02-04

    申请号:US18598822

    申请日:2024-03-07

    Abstract: A structural analysis system analyzes the pages of a web site, including the content of the pages and their relationships to each other. Based on the analysis, the structural analysis system additionally modifies (or suggests modification of) the web pages of the web site, such as by altering the inter-page linking structure of the web site. This improves the structure of the web site, leading search engines to be able to more quickly find and index its pages, as well as increasing the expected ranking that a search engine would provide to pages of the web site within the set of search results provided by the search engine in response to a user query.

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