Abstract: Systems and methods are disclosed for protecting consumer privacy in an online advertising environment. A request may be received from a browser for a webpage along with a unique browser identifier. The browser may be provided a first portion of the webpage that is locally available. The unique browser identifier may be provided to at least one advertising entity, wherein the advertising entity determines an advertisement based, at least in part, on the unique browser identifier. The advertisement may be received from the advertising entity, and provided to the browser as a second portion of the webpage.

Abstract: The present teaching relates to tracking an event at a plurality of distributed servers. In one example, an event to be tracked is determined. A user associated with the event is identified. A script is generated to be embedded in a web page. The script triggers an event message when the user performs an online behavior related to the web page in accordance with the event. The event message triggered by the script is received. A tracing flag is determined from the event message. An instruction is provided to the plurality of distributed servers for executing one or more applications based on the event and the tracing flag.

Abstract: The disclosed embodiments are directed toward monitoring and classifying encrypted network traffic. In one embodiment, a method is disclosed comprising intercepting an encrypted network request, the network request transmitted by a client device to a network endpoint; identifying a network service associated with the network endpoint based on unencrypted properties of the encrypted network request; identifying, based on the encrypted network request and a series of subsequent network requests issued by the client device, an action taken by the client device, the action comprising an activity performed during a session established with the network service; and updating a catalog of network interactions using the network service and the action.

Abstract: A computer-implemented method for allocation-free control of online campaigns for distributing online content includes receiving a daily content distribution spending budget and one or more response functions, calculating one or more plant gain estimates based on the one or more response functions, calculating a marginal content distribution spending budget based on the daily content distribution spending budget, generating one or more control signals based on the calculated marginal budget and the calculated one or more plant gain estimates, generating a price control signal based on the generated one or more control signals, and calculating a bid for one or more impressions based on the price control signal.

Abstract: Systems, devices, and methods are disclosed for predicting potential effectiveness of query-triggered internet advertisements received from different web page publishers using a deep learning neural network language model for clustering queries, and for automatically adjusting bids for advertisements by advertisers based on the predicted potential effectiveness. Using query-clusters rather than queries for adjusting bids for advertisements allows for more accurate and more consistent bidding strategy despite of sparsity in historical advertisement performance data, higher return on investments for the advertisers, and higher revenue for the publishers of the advertisements.

Abstract: Systems and methods are for identifying online advertisements to display to a user based on historical user data collected across the user's use of a plurality of Internet devices. One method includes receiving, over a network, a request for an advertisement to display at a first device of the user, the request including a unique identifier stored on the user's first device; accessing, in a database, a demographic or browsing history information generated from the user's use of a second device, the demographic or browsing history information being stored in the database in relation to the unique identifier; and identifying, based on the demographic or browsing history information, an advertisement to display at the user's first device. The demographic or browsing history information is synchronized based on the unique identifier being stored on the user's first device and the user's second device.

Abstract: One or more computing devices, systems, and/or methods are provided. A manifest associated with a first video may be generated. The manifest may include a first web address associated with accessing the first video, one or more first milestone markers of the first video, and/or one or more first beacon web addresses associated with the one or more first milestone markers. The manifest may be transmitted to a first client device. An indication addressed to a first beacon web address of the one or more first beacon web addresses may be received from the first client device. It may be determined, based upon the indication addressed to the first beacon web address, that the first client device displayed a first portion of the first video corresponding to a first milestone marker, of the one or more first milestone markers, associated with the first beacon web address.

Abstract: The present teaching generally relates to removing perturbations from predictive scoring. In one embodiment, data representing a plurality of events detected by a content provider may be received, the data indicating a time that a corresponding event occurred and whether the corresponding event was fraudulent. First category data may be generated by grouping each event into one of a number of categories, each category being associated with a range of times. A first measure of risk for each category may be determined, where the first measure of risk indicates a likelihood that a future event occurring at a future time is fraudulent. Second category data may be generated by processing the first category data and a second measure of risk for each category may be determined. Measure data representing the second measure of risk for each category and the range of times associated with that category may be stored.

Abstract: According to one aspect of the present disclosure, a method is provided for advertising on a content-screened web page. The method includes receiving an impression request for a URL for which an advertising impression is desired; screening HTML content of a web page identified by the URL; generating a rating for the URL based on the HTML content of the web page; assigning the rating to the impression request; and serving an advertising impression on the web page based on the rating.

Abstract: One or more computing devices, systems, and/or methods for determining whether requests for content are fraudulent are provided. A request for content may be received from a first device. A first user profile associated with the first device may be identified. The first user profile may comprise activity information associated with the first device, demographic information associated with the first device and/or interest information associated with the first device. A user profile database may be analyzed to identify a set of user profiles similar to the first user profile. A relevance score associated with the request for content may be generated based upon the resource, the set of user profiles and/or the first user profile. The relevance score may be compared with a threshold relevance to determine whether the request for content is fraudulent.

Abstract: A computer-implemented method is provided for administering an online advertiser bidding interface. The method includes providing a bidding interface to an advertiser through a web server, by which an advertiser may bid on online advertising inventory of an online publisher, the bidding interface displaying a plurality of targeting elements; receiving targeting information from the advertiser through the targeting elements of the bidding interface and the web server; and generating an advertising bid based on the received targeting information. A system is also provided for administering an online advertiser bidding interface.

Abstract: Systems and methods are disclosed for traffic filtration by content providers. One method includes receiving a content request from a device of a user; determining whether one or more container tags are associated with requested content; determining, prior to responding to the content request, whether the content request is by a user based on the content request and the one or more container tags; generating, prior to responding to the content request, an ad request based on the content request and the one or more container tags; determining, prior to responding to the content request, an ad request recipient based on the generated ad request and the one or more container tags; transmitting the ad request to the determined ad request recipient; and transmitting, over the electronic network to the device, a response to the content request when the content request is determined to be by a user.

Abstract: A system for retargeting customers is based on a mobile device query initiated by a user, and includes a query module configured to receive a query with geographical information from the mobile device and determine geographical identifiers of the mobile device. An indexed database stores an aggregated plurality of customers having a geographical identifier proximate to the determined geographical area, and a processor selects an advertiser located proximate to the determined geographical area. A performance feedback module is configured to assign an effectiveness rating to one or more advertisements provided by the selected advertiser based on marketing attributes of the aggregated plurality of customers.

Abstract: Disclosed are systems and methods for improving interactions with and between computers in content providing, searching and/or hosting systems supported by or configured with devices, servers and/or platforms. The disclosed systems and methods provide a novel framework for performing automatic detection of surfaces in video frames resulting in the creation of a seamless in-video ad experience for viewing users. The disclosed framework operates by leveraging available surfaces in videos to show advertisements in compliance with publisher protection, compliance and policy in a fully automatic, end-to-end solution. The disclosed framework evidences a streamlined, automatic and computationally efficient process(es) that modifies digital content at the surface level within the frames of the content in compliance with the digital rights of the owners of the content being merged via the disclosed augmentation.

Abstract: One or more computing devices, systems, and/or methods are provided. A first plurality of sets of device information associated with a plurality of devices may be received and/or identified. The plurality of devices may be grouped into a plurality of groups based upon the first plurality of sets of device information. A plurality of group profiles associated with the plurality of groups may be generated. A first group profile of the plurality of group profiles may be associated with a first group of the plurality of groups. The first group profile may be generated based upon sets of device information, of the first plurality of sets of device information, associated with the first group. A request for content associated with a first device belonging to the first group may be received. A first content item may be selected for presentation via the first device based upon the first group profile.

Abstract: A system for generating an advertisement is provided. The system may receive an advertisement request from a client device and select an advertisement from a database in response to the advertisement request. The system may identify an advertiser web server associated with the advertisement, for example a landing page. The system may retrieve a picture from the advertiser web server and integrate the picture with the advertisement to generate an enhanced advertisement. The system may serve the enhanced advertisement to the client device.

Abstract: Systems and methods are disclosed for associating a plurality of Internet-enabled devices with a common user profile for targeting Internet content or advertising. One method includes: receiving, from a plurality of Internet-enabled devices, a plurality of requests for electronic content or advertising; extracting, from each of the plurality of requests, a source IP address and a unique identifier associated with the respective Internet-enabled device; for each source IP address for which requests were received over a predetermined time period from a number of Internet-enabled devices below a threshold number of devices, identifying each possible pair of devices from which requests were received; and for each possible pair of devices, calculating a probability that the pair of devices are owned or operated by a common user.

Abstract: Systems and methods are disclosed for detecting and removing traceable identifying audio content from electronic media content. One method includes: receiving, over a network, media content to be broadcast or distributed, the media content including audio data; determining whether the audio data of the media content includes traceable identifying audio content defined by an audio identifier; generating new audio data based on the audio data of the media content when an audio identifier is determined to be include in the audio data; removing audio data from the media content when the audio identifier is determined to be include in the audio data; adding the new audio data to the media content when the audio data is removed from the media content; and broadcasting or distributing the media content having the new audio data to one or more user devices.

Abstract: Systems, methods, and computer-readable media are disclosed for augmenting real-time bidding data with proprietary data. One method includes: receiving, at a server over an electronic communications network from a real-time impression bidder, a bid request or a request to augment a bid request with proprietary data; accessing, by the server from an internal database, proprietary data of a data augmenting service based on a user identifier of the bid request; determining, by the server, proprietary data to include in an augmented bid request based on at least one of the received bid request and the user identifier; formatting, by the server, the augmented bid request into a standardized, augmented bid request; and transmitting, by the server over the electronic communications network, the standardized, augmented bid request to the real-time impression bidder.

Abstract: Systems and methods are disclosed for identifying malicious traffic associated with a website.