Abstract: A filtering machine receives sponsored content and filters the sponsored content according to a quality metric generated by quality model circuitry and assigned to the instance of sponsored content. The quality model circuitry generates the quality metric in accordance with historical feedback received about other sponsored content and a collection of quality factors pertaining to the sponsored content. Based on the quality metric for the sponsored content, the filtering machine can effect service of the sponsored content to a user device for display thereon.

Abstract: An online advertising system receives an advertisement from an advertiser. The system analyzes the advertisement, extracts its features and provides to the advertiser a quality rating for the advertisement which depends on a user engagement factor such as the predicted dwell time for the ad, given its features. The system further provides to the advertiser suggestions for improvements to the advertisement, such as a list of actionable guidelines that can improve the expected dwell time of the ad, and likely its conversion rate.

Abstract: Systems, devices, and methods are disclosed for determining the quality of traffic received from different web page publishers, and setting a pricing structure for the different traffic based on the determined quality of traffic. Accurately determining the quality of traffic and/or clicks from different publishers allows the network system described herein to offer a fair marketplace with just return on investments (ROI) for advertisers, and offer a robust and accurate traffic quality based pricing model for publishers. Internet based technology, and in particular deep learning techniques available through a neural network, are utilized to determine the pricing structure based on click and/or web page traffic quality measurements generated through the deep learning techniques.

Abstract: Methods and systems are provided that can include iconization and later play of video content items, such as advertisements. During presentation of an online video, video advertisements may be presented. Upon user selection, during or after presentation of a particular video advertisement, the advertisement may cease to be presented, but an icon may be displayed that represents the video advertisement. The icon may be displayed in an area adjacent to the online video display area, which area may include multiple icons. Later, upon user selection of the icon, the video advertisement may be played, or may continue playing, utilizing local storage of the video advertisement. This, in turn, may provide, for example, efficient, convenient user access to the video advertisement, leading to enhanced advertisement performance with minimal intrusive impact on the user experience as a whole.

Abstract: Methods and systems are provided that can include iconization and later play of video content items, such as advertisements. During presentation of an online video, video advertisements may be presented. Upon user selection, during or after presentation of a particular video advertisement, the advertisement may cease to be presented, but an icon may be displayed that represents the video advertisement. The icon may be displayed in an area adjacent to the online video display area, which area may include multiple icons. Later, upon user selection of the icon, the video advertisement may be played, or may continue playing, utilizing local storage of the video advertisement. This, in turn, may provide, for example, efficient, convenient user access to the video advertisement, leading to enhanced advertisement performance with minimal intrusive impact on the user experience as a whole.

Abstract: Methods and systems are provided that can include iconization and later play of video content items, such as advertisements. During presentation of an online video, video advertisements may be presented. Upon user selection, during or after presentation of a particular video advertisement, the advertisement may cease to be presented, but an icon may be displayed that represents the video advertisement. The icon may be displayed in an area adjacent to the online video display area, which area may include multiple icons. Later, upon user selection of the icon, the video advertisement may be played, or may continue playing, utilizing local storage of the video advertisement. This, in turn, may provide, for example, efficient, convenient user access to the video advertisement, leading to enhanced advertisement performance with minimal intrusive impact on the user experience as a whole.

Abstract: Systems, devices, and methods are disclosed for determining the quality of traffic received from different web page publishers, and setting a pricing structure for the different traffic based on the determined quality of traffic. Accurately determining the quality of traffic and/or clicks from different publishers allows the network system described herein to offer a fair marketplace with just return on investments (ROI) for advertisers, and offer a robust and accurate traffic quality based pricing model for publishers. Internet based technology, and in particular deep learning techniques available through a neural network, are utilized to determine the pricing structure based on click and/or web page traffic quality measurements generated through the deep learning techniques.

Abstract: A filtering machine receives sponsored content and filters the sponsored content according to a quality metric generated by quality model circuitry and assigned to the instance of sponsored content. The quality model circuitry generates the quality metric in accordance with historical feedback received about other sponsored content and a collection of quality factors pertaining to the sponsored content. Based on the quality metric for the sponsored content, the filtering machine can effect service of the sponsored content to a user device for display thereon.

Abstract: An online advertising system receives an advertisement from an advertiser. The system analyzes the advertisement, extracts its features and provides to the advertiser a quality rating for the advertisement which depends on a user engagement factor such as the predicted dwell time for the ad, given its features. The system further provides to the advertiser suggestions for improvements to the advertisement, such as a list of actionable guidelines that can improve the expected dwell time of the ad, and likely its conversion rate.

Abstract: Methods and systems are provided that can include iconization and later play of video content items, such as advertisements. During presentation of an online video, video advertisements may be presented. Upon user selection, during or after presentation of a particular video advertisement, the advertisement may cease to be presented, but an icon may be displayed that represents the video advertisement. The icon may be displayed in an area adjacent to the online video display area, which area may include multiple icons. Later, upon user selection of the icon, the video advertisement may be played, or may continue playing, utilizing local storage of the video advertisement. This, in turn, may provide, for example, efficient, convenient user access to the video advertisement, leading to enhanced advertisement performance with minimal intrusive impact on the user experience as a whole.

Abstract: Methods and systems are provided that can include iconization and later play of video content items, such as advertisements. During presentation of an online video, video advertisements may be presented. Upon user selection, during or after presentation of a particular video advertisement, the advertisement may cease to be presented, but an icon may be displayed that represents the video advertisement. The icon may be displayed in an area adjacent to the online video display area, which area may include multiple icons. Later, upon user selection of the icon, the video advertisement may be played, or may continue playing, utilizing local storage of the video advertisement. This, in turn, may provide, for example, efficient, convenient user access to the video advertisement, leading to enhanced advertisement performance with minimal intrusive impact on the user experience as a whole.

Abstract: Methods and systems are provided that can include iconization and later play of video content items, such as advertisements. During presentation of an online video, video advertisements may be presented. Upon user selection, during or after presentation of a particular video advertisement, the advertisement may cease to be presented, but an icon may be displayed that represents the video advertisement. The icon may be displayed in an area adjacent to the online video display area, which area may include multiple icons. Later, upon user selection of the icon, the video advertisement may be played, or may continue playing, utilizing local storage of the video advertisement. This, in turn, may provide, for example, efficient, convenient user access to the video advertisement, leading to enhanced advertisement performance with minimal intrusive impact on the user experience as a whole.

Abstract: Techniques are provided which enhance a user's experience by creating non-intrusive advertising schemes enabling the user to pursue targeted advertisements and/or discounts at a convenient time. During presentation of an online video, the user may “park” an advertisement for later viewing, permitting the focus to remain on the online video content and not on the advertisements. The “parked” advertisement is displayed as an icon adjacent to or minimally overlapping the video. Once the user selects the icon, the corresponding advertisement is displayed in the browser or the player. If the original video is being displayed when the user selects an icon, the video will pause and resume once the advertisement is displayed to completion or closed by the viewer.