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: Systems and methods are provided for tracking sharing of an electronic content. An exemplary method may include receiving a request to access content associated with a web address by a user. Based on a unique identity assigned to the user and the web address, a unique tracking web address may be generated. This tracking web address may be shared with additional users. As other users request content associated with the tracking web address, information regarding the sharing of the electronic content may be determined and stored, allowing for tracking of sharing behavior of users.

Abstract: Systems, methods, and computer-readable media are provided for group identification and content delivery. In accordance with one implementation, a computer-implemented method is provided that includes operations performed by at least one processor. The operations of the method include generating, based on identification data, an identification profile for each member of a set of members, the set of members being associated with a viewing group. The set of members may comprise all of the members of the viewing group or any subset of the members of the viewing group. The operations also include determining an individual score for each member of the set of members for each media file of a plurality of available media files based on the corresponding identification profile. Additionally, the operations include determining a group score for each of the plurality of available media files based on the corresponding individual score of each member.

Abstract: The present disclosure provides novel systems and methods of suppressing audio leakage in watch-together sessions. In an embodiment, a device is provided comprising a speaker, a microphone, a media player configured to provide a first media content audio, and a peer to peer (“P2P”) communications engine including a local loopback module and a conferencing module. The local loopback module configured to receive the first media content audio, provide a second media content audio, and amplify, using the speaker, the second media content audio, and the conferencing module configured to capture, using the microphone, captured conference audio, the captured conference audio including the second media content audio, and transmit to a modified captured conference audio; wherein the P2P communications engine is configured to generate the modified captured conference audio by suppressing the second content audio from the captured conference audio.

Abstract: Allocating bids for providing content within a segmented campaign is controlled to ensure that an event rate associated with the provided content meets or exceeds a threshold rate. A campaign-level event rate, associated with the provided content, is estimated and provided as a feedback signal. This feedback signal is employed to dynamically update bid allocations for each of the segments, which in turn varies the number or rate of provided impressions and events. Such feedback enables the control of the campaign-level rate and ensures that the campaign-level rate meets or exceeds the rate threshold. To control these rates, the number of total impressions, as well as the number of associated events, is temporally sampled across the campaign segments. Based on the number of impressions and events, the campaign-level event rate is estimated and employed as the feedback signal. Updating the bid allocations may be based on the Beta Distribution.

Abstract: Methods are disclosed for providing an ad-supported mobile data plan, where ad display may be tied to data usage levels and user input. A method includes receiving, using at least one processor, user interaction with advertisement content displayed on a device; retrieving, using the at least one processor, a data usage limit associated with the device; and causing a change in the data usage limit based on the user interaction with the advertisement content displayed on the device.

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 attributing web traffic to an advertising spot. The method may include receiving traffic data for a web page from a server associated with an advertiser and receiving, from a log provider, a log of a plurality of advertising spots related to the advertiser. A duration of time as a peak may be designated to identify the amount of traffic that is attributable to the one of the plurality of advertising spots.

Abstract: One or more computing devices, systems, and/or methods for selecting content items for transmission to client devices are provided. A request for content associated with a client device may be received. Bid values and/or click probabilities associated with content items may be determined. A probability of receiving a negative signal associated with a content item of the content items from the client device responsive to presenting the content item via the client device may be determined based upon a user profile associated with the client device. A content item score, of content item scores associated with the content items, may be generated based upon the probability, a click probability and/or a bid value associated with the content item. The content item may be selected from the content items for presentation via the client device based upon the content item scores. The content item may be transmitted to the client device.

Abstract: The example embodiments are directed toward improvements in document classification. In an embodiment, a method is disclosed comprising generating a set of sentences based on a document; predicting a set of labels for each sentence using a multi-label classifier, the multi-label classifier including a self-attended contextual word embedding backbone layer, a bank of trainable unigram convolutions, a bank of trainable bigram convolutions, and a fully connected layer the multi-label classifier trained using a weakly labeled data set; and labeling the document based on the set of labels. The various embodiments can target multiple use cases such as identifying related entities, trending related entities, creating ephemeral timeline of entities, and others using a single solution. Further, the various embodiments provide a weakly supervised framework to train a model when a labeled golden set does not contain a sufficient number of examples.

Abstract: The present teaching relates to method and system for evaluating a conversion. The method extracts meta-information including a conversion parameter and a reward. The meta-information corresponds to a conversion associated with an advertisement displayed previously by a plurality of entities. The method receives a plurality of claims for the conversion from one or more entities, and selects a claim corresponding to an entity from the plurality of claims based on the conversion parameter and information included in the plurality of claims. Further, the method transmits information related to the selected claim.

Abstract: Systems and methods are provided for building a user model. The system includes a processor and a non-transitory storage medium accessible to the processor. The processor is configured to obtain user data from a database, where the user data include user behavior for a plurality of apps installed on one or more user terminals. The processor selects at least one rating parameters using the user data, where the at least one rating parameters indicates a rating of relevant app usage. The system builds the user model based on a rating matrix comprising the at least one rating parameters.

Abstract: One or more computing devices, systems, and/or methods for generating and providing recommendations of products are provided. For example, content is extracted from a message sent to a user. The content is evaluated to identify a product identifier corresponding to a product title of a product. If the product identifier is a truncated version of the product title, then a database of product titles and frequencies of occurrence of the product titles is used to complete the product title. A model is used to infer a product category for the product title. Matching scores are assigned to products within a product category based upon weighted attributes. A recommendation is provided to the user for a product having a matching score greater than a matching threshold.

Abstract: Systems and methods are disclosed for accessing first party Internet cookies. One method includes receiving, over an electronic network, a request for an electronic advertisement or an Internet cookie, wherein the request is received in response to a user requesting content from a subdomain of an advertising entity domain; and sending, to a device associated with the user, an Internet cookie having the subdomain of the advertising entity domain. The method further includes receiving, from the device associated with the user, a request for content from the subdomain of the advertising entity domain, wherein the request is received in response to the user requesting content from a domain of an online publisher; and accessing data stored in the Internet cookie sent to the device associated with the user.

Abstract: Systems and methods are disclosed for providing non-intrusive advertising content to users. The method includes receiving user input reflecting user content preferences for receiving desired content related to specific topics in lieu of standard advertising content. The method may further include receiving a web request for electronic and then retrieving desired content based on user content preferences. Thereafter, the method may include choosing non-intrusive advertising content and generating one or more datagrams including the desired content and the non-intrusive advertising content. The requested electronic content along with generated datagrams content may then be provided for displaying.

Abstract: One or more computing devices, systems, and/or methods are provided. In an example, an email addressed to an email address associated with an email account is received. A request to display the email is received from a client device associated with the email account. In response to receiving the request to display the email, the email and a social interaction interface are displayed via an email interface on the client device. The social interaction interface includes one or more social interaction features. The one or more social interaction features include a commenting feature, a feedback feature and/or a chat feature.

Abstract: Systems and methods are disclosed for managing online advertising data secure sharing. One method includes receiving, at a server, a request for proprietary data from a data consumer, the request including a data consumer identifier; retrieving, from a database of proprietary data, proprietary data based on the request; determining, by the server, whether the retrieved proprietary data is at least one of: designated to be processed and designated to have privileges set; processing, by the server, the proprietary data when the server determines the proprietary data is designated to be processed; setting one or more privileges to the proprietary data using the certificate associated with the data consumer identifier when the server determines the proprietary data is designated to have privileges set; encrypting the proprietary data using the certificate associated with the data consumer identifier; and transmitting the encrypted proprietary data to the data consumer.

Abstract: Methods and an apparatus are provided for associating video content to keywords present on the webpage of a user computer. Furthermore, the method includes creating a link on the webpage from the keyword which displays the video file when the link is activated. In addition, a system for video content association includes a video association controller configured to receive a request for video content association when a webpage is requested by a user computer and determine whether the webpage contains at least one keyword. Furthermore, the video association controller is configured to display a link on the webpage from at least one keyword to a video file.

Abstract: One or more computing devices, systems, and/or methods are provided. A machine learning model may be trained using a plurality of sets of information. One or more pruning operations may be performed in association with the training to generate a machine learning model with sparse vector representations associated with features of the plurality of sets of information. A request for content associated with a client device may be received. A set of features associated with the request for content may be determined. A plurality of positive signal probabilities associated with a plurality of content items may be determined using the machine learning model based upon one or more sparse vector representations, of the machine learning model, associated with the set of features. A content item may be selected from the plurality of content items for presentation via the client device based upon the plurality of positive signal probabilities.

Abstract: Systems and method are disclosed for providing advertisements to users by determining the occurrence of user defined external triggering events comprising a moment. One method comprises defining a set of conditions or criteria that define a moment, collecting data associated with said set of conditions or criteria, evaluating whether the conditions or criteria are satisfied and whether the user defined moment has occurred, executing an advertisement campaign associated with said user defined moment, transmitting an advertisement associated with said user defined moment to a target user, and modifying said advertisement in accordance with changes in the data associated with the conditions or criteria.