Abstract: Embodiments of the invention provide a method, system, and media for presenting advertisements (or other information) based on user interaction with a web page. One embodiment of the method includes determining that programmatic code that describes the web page is to be dynamically modified before it is to be presented on a display device. The method further includes identifying remotely stored supplemental information that is associated with the web page. The supplemental information includes a listing of words on the web page that are to be considered key words which key words are to be associated with descriptive terms that relate to the key words. The descriptive terms might even be generated after a rendering of the web page as well as before. Additional supplemental information might include a listing of triggering events that are associated with different objects of the web page (such as key words, text boxes, etc.

Abstract: Methods, systems, and computer-readable media for evaluating the quality of text within online advertisements using output from a language model are provided. The output from the language model may be used by a machine-learning algorithm to generate a quality score for an individual advertisement. The quality score may be used to filter out advertisements with poor text quality or to tax or penalize an advertisement within an online auction. The ad quality scores may also be used to rank or score advertisers that submit the ads. In one embodiment, the advertiser's quality score is combined with an individual ad's quality score to create a final score, which is used to evaluate the advertisement. The advertiser rank/score and ad quality score may be communicated to an advertiser as advertiser feedback.

Abstract: An embodiment of the current invention is directed to inserting content from a source website into a destination website. Content from the source website is selected as selected content. A destination website is navigated to and, thereafter, a script is executed in a window displaying the destination website. In embodiments, the script performs a process that includes retrieving the selected content and displaying the selected content on the destination website.

Abstract: Methods, systems, and computer-readable media for evaluating the quality of text within online advertisements using output from a language model are provided. The output from the language model may be used by a machine-learning algorithm to generate a quality score for an individual advertisement. The quality score may be used to filter out advertisements with poor text quality or to tax or penalize an advertisement within an online auction. The ad quality scores may also be used to rank or score advertisers that submit the ads. In one embodiment, the advertiser's quality score is combined with an individual ad's quality score to create a final score, which is used to evaluate the advertisement. The advertiser rank/score and ad quality score may be communicated to an advertiser as advertiser feedback.

Abstract: An embodiment of the current invention is directed to inserting content from a source website into a destination website. Content from the source website is selected as selected content. A destination website is navigated to and, thereafter, a script is executed in a window displaying the destination website. In embodiments, the script performs a process that includes retrieving the selected content and displaying the selected content on the destination website.

Abstract: Embodiments of the invention provide a method, system, and media for presenting advertisements (or other information) based on user interaction with a web page. One embodiment of the method includes determining that programmatic code that describes the web page is to be dynamically modified before it is to be presented on a display device. The method further includes identifying remotely stored supplemental information that is associated with the web page. The supplemental information includes a listing of words on the web page that are to be considered key words which key words are to be associated with descriptive terms that relate to the key words. The descriptive terms might even be generated after a rendering of the web page as well as before. Additional supplemental information might include a listing of triggering events that are associated with different objects of the web page (such as key words, text boxes, etc.