Suppressing personally objectionable content in search results

    公开(公告)号:US12271416B2

    公开(公告)日:2025-04-08

    申请号:US18316035

    申请日:2023-05-11

    Applicant: Google LLC

    Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for suppressing search results to personally objectionable content. One of the methods includes receiving an identifier of a resource that has image content. A first classifier classifies the image content as including objectionable content or not including objectionable content. A second classifier classifies the image content as including professionally produced content or not including professionally produced content. Whenever the image content is classified as including objectionable content and as not including professionally produced content, the resource is designated as having personally objectionable content.

    Suppressing personally objectionable content in search results

    公开(公告)号:US10795926B1

    公开(公告)日:2020-10-06

    申请号:US15136333

    申请日:2016-04-22

    Applicant: Google LLC

    Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for suppressing search results to personally objectionable content. One of the methods includes receiving an identifier of a resource that has image content. A first classifier classifies the image content as including objectionable content or not including objectionable content. A second classifier classifies the image content as including professionally produced content or not including professionally produced content. Whenever the image content is classified as including objectionable content and as not including professionally produced content, the resource is designated as having personally objectionable content.

    Predicting a search engine ranking signal value

    公开(公告)号:US10324993B2

    公开(公告)日:2019-06-18

    申请号:US15369849

    申请日:2016-12-05

    Applicant: Google LLC

    Abstract: Methods, systems, and apparatus including computer programs encoded on a computer storage medium, for augmenting search engine index that indexes resources from a collection of resources. In one aspect, a method of augmenting a first search engine index that indexes resources from a first collection of resources includes the actions of identifying a first resource, in the first collection of resources, that is indexed in the first search engine index for which a value of a search engine ranking signal is not available, wherein a search engine uses values of the search engine ranking signal in ranking resources in response to received search queries; processing text from the first resource using a machine learning model, the machine learning model being configured to: process the text to predict a value of the search engine ranking signal for the first resource; and updating the first search engine index by associating the predicted value of the search engine ranking signal with the first resource in the first search engine index.

    Utilizing user co-search behavior to identify search queries seeking inappropriate content

    公开(公告)号:US09959354B2

    公开(公告)日:2018-05-01

    申请号:US14747492

    申请日:2015-06-23

    Applicant: Google LLC

    CPC classification number: G06F17/30867 G06F17/3071

    Abstract: A system and method for training a search query classifier may be used to develop a large database of search queries used to access inappropriate sensitive or offensive content. A database of well-known and frequently-used search queries for accessing inappropriate sensitive content is expanded by monitoring additional search queries received from a user within a preset time period of the user submitting one of the well-known and frequently-used search queries. The additional search queries received from a user are further evaluated to determine if they are likely associated with inappropriate sensitive or offensive content.

Patent Agency Ranking