Abstract: An online advertising system provides a user interface that allows the majority of advertisers to receive an “instantaneous” decision on their ad as soon as it is created. Instead of starting the ad review process after the advertiser submits the full ad for review, each ad component and existing combination of ad components is reviewed when it is entered into the ad creation form. This method allows the system to begin time-consuming aspects of the ad review (i.e., crawling the landing page, analyzing image features) while the user is still spending time on creating the ad.

Abstract: An online system allows third-party systems to provide content for distribution to users. The online system allows trademark owners to search for content items that are likely to violate trademarks. The online system receives proof of the trademark registration from trademark owner's devices. The online system receives a search request for content items that are likely to violate a trademark. The online system ranks the content items that are likely to violate the input trademark based on various factors. One of the factors used for ranking the content items is a score generated by a machine learning based model that indicates a likelihood of violation of trademarks by a content item. The online system controls the rate of distribution of content items of a content provider based on information indicating whether the content provider violates trademarks, for example, by blocking distribution of content items by specific content providers.

Abstract: An online system allows third-party systems to provide content for distribution to users. The online system allows trademark owners to search for content items that are likely to violate trademarks. The online system receives proof of the trademark registration from trademark owner's devices. The online system receives a search request for content items that are likely to violate a trademark. The online system ranks the content items that are likely to violate the input trademark based on various factors. One of the factors used for ranking the content items is a score generated by a machine learning based model that indicates a likelihood of violation of trademarks by a content item. The online system controls the rate of distribution of content items of a content provider based on information indicating whether the content provider violates trademarks, for example, by blocking distribution of content items by specific content providers.

Abstract: An online advertising system provides a user interface that allows the majority of advertisers to receive an “instantaneous” decision on their ad as soon as it is created. Instead of starting the ad review process after the advertiser submits the full ad for review, each ad component and existing combination of ad components is reviewed when it is entered into the ad creation form. This method allows the system to begin time-consuming aspects of the ad review (i.e., crawling the landing page, analyzing image features) while the user is still spending time on creating the ad.