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: A method and system for recommending content to a user whose interest(s) has not been identified is disclosed. A base user profile may be created for association with the user. The base user profile may be created by generating a list of ranked interests of a set of representative users. The list of ranked interests may be generated based on activity information obtained for the set of representative users. Content may be recommended to the user based on the base user profile.

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: In an example, a starting argument post may be received, via a first debate interface, from a first client device associated with a first user account of a debate system. A first response post may be received, via a second debate interface, from a second client device associated with a second user account of the debate system. The first response post corresponds to a response to the starting argument post. The starting argument post and the first response post are included in a first debate thread. When a first submission status of the first user account is active, submission of a response post for inclusion in the first debate thread may be enabled via the first debate interface. A second response post may be received, via the first debate interface and when the first submission status of the first user account is active, from the first client device.

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 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: 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 analyzing messages associated with an inbox of a user, and providing functionality to the inbox for alerting the user to specific forms of content included within each message. Such functionality can include displaying messages and/or the content contained therein in a novel, dedicated and modified and/or embedded portion of a message inbox. The messages can also be modified upon display within in the inbox to indicate that the message includes content of a specific type. Also, messages that include specific content types can also trigger the disclosed framework to generate and provide alerts to the user indicating the inbox has received or includes specific forms of such content.

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: Systems and methods are disclosed for cryptographic signing of content requests. One method includes receiving, at a content network, a content request from a publisher website, the publisher website purporting to be associated with a publisher domain. At the content network, a public key may be received associated with the publisher domain. At the content network, at least one policy may be received associated with the publisher domain. It may be determined whether the content request comprises a cryptographic signature. If it is determined that the content request does not comprise a cryptographic signature, content may or may not be provided to the publisher website according to the policy from the publisher domain. If it is determined that the content request comprises a cryptographic signature, the cryptographic signature of the request may be validated using the public key.

Abstract: An information processing device according to the present application includes a generation unit and a providing unit. The generation unit uses a model that is trained to learn a relationship between a criterion for classifying users of a first company and a criterion for classifying users of a second company to generate a criterion (common key) for classifying the users of the second company into a first category, from the criterion for classifying the users of the first company into the first category. The providing unit provides a criterion generated by the generation unit.

Abstract: Disclosed are embodiments for providing batch performance using a stream processor. In one embodiment, a method is disclosed comprising receiving, at a stream processor, an event, the stream processor including a plurality of processing stages; generating, by the stream processor, an augmented event based on the event, the augmented event including at least one additional field not appearing in the event, the additional field generated by an operation selected from the group consisting of a join or dimensional annotation operation; and emitting, by the stream processor, the augmented event to downstream consumer.

Abstract: Techniques for providing batch performance using a stream processor are described. In one technique, a method includes receiving an event that includes an event key and a timestamp. The method then generates a partition value and time bucket value, the partition value generated based on the event key and the time bucket value generated based on the timestamp. The event key, partition value, and time bucket value are then combined to form a database key and used in a command to a database.

Abstract: In some aspects, the techniques described herein relate to a method including: receiving, by a computing device, a message corresponding to a user inbox and to be added to the user inbox; applying, by the computing device, prior to adding the message to the user inbox, a message classification model to content of the message to determine one or more classifications corresponding to the message; determining, by the computing device, that the message is an important message based on whether one or more of the classifications is one of a set of predetermined classifications; adding, by the computing device, metadata to the message, the added metadata indicating that the message is an important message; and transmitting, to the user inbox, by the computing device, the message and the added metadata.

Abstract: One or more computing devices, systems, and/or methods for oversampling for imbalanced test data are provided. A classifier is configured to classify data points as either belonging to a first class or a second class. A determination may be made that the first class and the second class are imbalanced where a first number of data points estimated to be part of the first class is a threshold amount less than a second number of data points estimated to be part of the second class. An oversampling ratio is determined for the first class. The oversampling ratio is used to select a sample set of data points for editorial labeling, where the sampling set of data points comprises a total number of data points below a threshold amount.

Abstract: Disclosed are embodiments for providing batch performance using a stream processor. In one embodiment, a method is disclosed comprising detecting a real close of books (COB) of a data transport, the real COB associated with a set of raw events transmitted over the data transport, flushing a stream processor in response to detecting the real COB, and retrieving a set of processed events from a distributed file system after the flushing is complete. A fact COB computation is then performed on the set of processed events and the set of raw events, the fact COB computation outputting a number of missing events, each missing event representing a raw event that is not present in the set of processed events. The processed events are then certified upon determining that the number of missing events is below a threshold.

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: 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: Disclosed are embodiments for sorting rows of a dataset after a JOIN operation. In one embodiment, a method is disclosed comprising performing a JOIN operation on an annotation dataset, the performing of the JOIN operation generating an unordered dataset; grouping a plurality of rows in the unordered dataset into a plurality of buckets, the grouping performed based on a root dataset associated with the annotation dataset; sorting each bucket, the sorting comprising sorting each bucket independently; and combining each sorted bucket into a sorted dataset.

Abstract: One or more computing devices, systems, and/or methods for determining activity patterns based upon user activity and/or performing operations based upon the activity patterns are provided. For example, activity performed using a communication interface associated with a user account may be detected. The activity may be analyzed to determine an activity pattern associated with a first set of conditions. The activity pattern may be stored in a user profile associated with the user account. The user profile may comprise a plurality of activity patterns. Each activity pattern of the plurality of activity patterns may be associated with a set of conditions of a plurality of sets of conditions. It may be determined that the first set of conditions are met. Responsive to determining that the first set of conditions are met, one or more operations associated with the activity pattern may be performed.

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.