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: A request is received, over a network from a requesting user to sort a plurality of comments relating to online content by a social status of a respective one of a plurality of commenters associated with each of the plurality of comments. The social status of the each of the plurality of commenters is determined using a computing device. The plurality of comments are sorted, using the computing device, by the social status of the respective one of the plurality of commenters associated with each of the plurality of comments. A representation of the sorted comments is transmitted, over the network, to the requesting user. The social status of commenters can reflect, in various embodiments, the status of commenters as favorite commenters of the requesting user, as members of the requesting user's social network, or as a top rated commenters in an online community.

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: Disclosed is a server computer that receives, over a network from a computing device, a request for a search suggestion related to a search query that is input into a search term entry area displayed by a web browser executing on the computing device. In response to receiving the request, the server computer transmits over the network to the computing device, instructions for the computing device to display a search suggestion related to the search query, the search suggestion corresponding to a search results web page. The instructions further cause the computing device to store, in a memory of the computing device, a web page component associated with the search results web page without causing the computing device to visibly display the web page component during display of the search suggestion.

Abstract: Disclosed are systems and methods for improving interactions with and between computers in electronic messaging and/or providing systems supported by or configured with personal computing devices, servers and/or platforms. The disclosed systems and methods provide systems and methods for generating electronic message filters and for using electronic message filters comprising item category filtering criteria and having an automatically-determined expiration. The discloses systems and methods filter electronic messages using the item category filtering criteria while an electronic message filter remains active as determined using the automatically-determined expiration information.

Abstract: One or more computing devices, systems, and/or methods are provided. In an example, a sequence of actions performed using a first interface on a first client device may be identified. A first negative signal probability may be determined based upon the sequence of actions. The first negative signal probability may correspond to a probability of receiving a negative signal associated with a first content item from the first client device responsive to presenting the first content item via the first interface on the first client device. The first interface on the first client device may be controlled based upon the first negative signal probability.

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: 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 a sparse set of field weights associated with feature fields associated with features of the plurality of sets of auction 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. Positive signal probabilities associated with a plurality of content items may be determined using the machine learning model based upon field weights, 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 positive signal probabilities.

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: 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: Disclosed are embodiments for horizontally skimming composite datasets. In one embodiment, a method is disclosed comprising receiving a script, the script including commands to access a composite dataset; pre-processing the script to identify a set of columns; loading a metadata file associated with the composite dataset file; parsing the metadata file to identify one or more datasets that include a column in the set of columns; loading data from the one or more datasets; and executing the script on the one or more datasets.

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: In some aspects, the techniques described herein relate to a method including: obtaining, by a computing device, a set of messages, each message including message metadata and message structure, at least one message of the set of messages comprising a digital asset; clustering, by the computing device, the set of messages based on the message metadata and the message structure; classifying, by the computing device, the clusters into categories; determining, by the computing device, a digital asset structure from at least one message cluster; and generating, by the computing device, at least one mapping rule based on the digital asset structure.

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 present teaching relates to a method, system, and programming for providing content. A plurality of content items and publication information related thereto are obtained. For each of the plurality of content items, one or more topics are determined in accordance with a model. The related publication information associated with each content item is analyzed to identify at least one source of a plurality of sources that published the content item. A distribution is generated of each of the plurality of content items with respect to the plurality of sources and the one or more topics of the content item, and a bias of a source with respect to publishing content is identified based on the distributions of the plurality of content items.

Abstract: Methods, systems, and computer programs are presented for displaying a customized news stream. One method includes an operation for identifying dwell times spent by users while accessing a first plurality of items, each item belonging to one media type from a plurality of media types (e.g., news articles, videos, slide shows, etc.). In addition, the method includes operations for determining statistical parameters for each media type based on the identified dwell times, and for detecting a news corpus having a second plurality of items. A priority for each item in the news corpus is determined based on the media type of the item, the corresponding statistical parameters for the media type of the item, and the profile of a user. The news stream is sent to the user for presentation on a display, the news stream being sorted based on the priority of the items in the news corpus.

Abstract: One or more computing devices, systems, and/or methods for content recommendation based upon continuity and grouping information of attributes are provided herein. User interaction data specifying whether users interacted with content items, user attributes of the users, and content attributes of the content items is obtained. A data structure is populated with the user interaction data. The data structure is modified by inserting a set of sub-fields into the data structure for a user attribute. A sub-field is populated with a value representing an option of the user attribute. The set of sub-fields are an encoding of continuity information and grouping information representing options for the user attribute. The data structure is processed using machine learning functionality to generate a model. The model is utilized to generate a prediction as to whether a user will interact with a content item.

Abstract: One or more computing devices, systems, and/or methods are provided. A first content item may be identified. The first content item may be analyzed to determine a first set of content information associated with the first content item. The first set of content information may be indicative of a type of content associated with the first content item, a topic associated with the first content item, a publisher associated with the first content item, an author associated with the first content item and/or a producer associated with the first content item. A first validity score associated with the first content item may be generated based upon the first set of content information. A graphical user interface of a first client device may be controlled based upon the first validity score.

Abstract: Methods are disclosed for processing electronic transactions between a merchant and a consumer based on physical geography. A method includes receiving payment data associated with a consumer payment card; transmitting the payment data, over a network, to a third party; receiving, over the network, information for determining whether a geofence associated with the merchant matches a geofence associated with the consumer; and processing a transaction with the consumer based on whether the consumer geofence ID matches a geofence ID associated with the merchant. Systems for processing electronic transactions between a merchant and a consumer based on physical geography are also disclosed.