Abstract: The disclosed method and system focus on the analysis and validation of text. The analysis discerns if the text originates from artificial intelligence (AI) mechanisms. The text is then segmented, with each segment undergoing a comparative analysis against indexed content in search engine databases to derive a plagiarism score. The factual statements within the text are isolated and matched with pre-existing data in factual text repositories and the search engine database to ascertain factual accuracy. Furthermore, the system evaluates the readability of the text, while linguistic evaluations, encompassing both grammar and spelling, provide a linguistic correctness score, ensuring the credibility of the text.

Abstract: A device may receive purchase data identifying purchases by users of user devices and identifying non-temporal data associated with the users, and may preprocess the purchase data to generate sequences of multivariate and multimodal symbols. The device may process the sequences of multivariate and multimodal symbols, with a long short-term memory based encoder-decoder model, to generate sequence embeddings, and may process the non-temporal data associated with the users, with a knowledge graph, to determine knowledge graph embeddings capturing the non-temporal data. The device may process the sequence embeddings and the knowledge graph embeddings, with a knowledge graph embedding model, to generate modified sequence embeddings, and may process the modified sequence embeddings, with a clustering model, to determine clusters of the users in relation to products or services purchased by the users. The device may perform one or more actions based on the clusters of the users.

Abstract: Provided are a method and an apparatus for generating prediction information, an electronic device, and a computer readable medium. The method includes: generating, based on first user characteristic information of a target user, anonymous user information of the target user (201); sending the anonymous user information to a second processing end to enable the second processing end to generate prediction information based on the anonymous user information and second user characteristic information (202) of the target user. Data interaction and sharing are realized while ensuring data privacy, thereby improving accuracy of the prediction information.

Abstract: A method and system to convert user activities performed in a real world into virtual world activity. The system includes a virtual world environment with a virtual activity tracker to obtain virtual activity performance data for an activity performed by a user in the virtual world environment; and a virtual world database to store the virtual activity performance data in a virtual profile of the user. The system also includes a real world activity tracker to obtain real world activity performance data for a real world activity performed by the user; and an activity convertor to convert the real world activity performance data into an amount of converted virtual activity performance data and add the converted virtual activity performance data to the virtual profile of the user.

Abstract: To make it possible to generate dialogue data for generating a question sentence to deeply delve conversation at a low cost. For each of a plurality of pieces of data each including a set of a first utterance sentence that is a sentence uttered by a first user, a second utterance sentence that is a sentence uttered by a second user and is a response to the first utterance sentence, and a third utterance sentence that is a sentence uttered by the first user and is a response to the second utterance sentence, a dialogue data generation unit 110 generates a set of the first utterance sentence of the data and the second utterance sentence of the data as dialogue data when the second utterance sentence of the data is a question sentence using an interrogative.

Abstract: Systems and methods for managing alternative targeted experimental content are disclosed. A method for managing alternative advertisements may include an offer experience service computer program executed by an electronic device: (1) receiving a query for targeted content to display to a customer on a customer electronic device and an experimental content indicator; (2) based on the experimental content indicator, retrieving an experimental targeted content identifier for the customer from a third-party experimentation platform, wherein the experimental targeted content identifier identifies a variant of targeted content; (3) retrieving experimental targeted content associated with the experimental targeted content identifier from an experimental targeted content database; (4) generating a response to the query for targeted content comprising the experimental targeted content; and (5) returning the response to the customer electronic device.

Abstract: Disclosed is a highly reliable physically unclonable function technology. In a tunneling-based memory device disclosed herein, a conductive layer (e.g., Al2O3) is stacked on a bottom electrode, an oxide layer (e.g., TiOx) is stacked on the conductive layer, and a top electrode is stacked on the oxide layer. The tunneling-based memory device has a structure of a memristor crossbar array and has a current-voltage characteristic independent of a temperature that is an external environmental variable due to a tunneling mechanism when constructing an unpredictable physically unclonable function (PUF) of hardware as a memory semiconductor array.

Abstract: A user registers for an account with an account management system, configures account settings to permit the account management system to receive user computing device data from a user computing device associated with the user, and logs into the account via the user computing device. The account management system receives a user voice purchase command and determines a purchase command context based on the received user computing device data. The account management system identifies a product that the user desires to purchase based on the purchase command context and directs the user computing device web browser to a merchant website to set up a transaction for the identified product.

Abstract: A method and system to convert user activities performed in a real world into virtual world activity. The system includes a virtual world environment with a virtual activity tracker to obtain virtual activity performance data for an activity performed by a user in the virtual world environment; and a virtual world database to store the virtual activity performance data in a virtual profile of the user. The system also includes a real world activity tracker to obtain real world activity performance data for a real world activity performed by the user; and an activity convertor to convert the real world activity performance data into an amount of converted virtual activity performance data and add the converted virtual activity performance data to the virtual profile of the user.

Abstract: When a viewer is determined to be interested in an advertisement, a media guidance application may identify a second related advertisement to display to the viewer. The second advertisement may be displayed following the first interesting advertisement. To avoid timing issues, media content following the advertisements may be buffered so that the viewer can catch up on the media content without missing anything.

Abstract: Devices, systems, and methods are provided for goal-based audience selection. A method for generating an audience using machine learning may include receiving a request to generate an audience for an advertisement campaign, the request including an objective associated with presentation of the advertisement campaign. The method may include determining first user actions based on the objective, and identifying first users of a system who performed the first user actions using the system. The method may include determining second user actions performed by the first users prior to performing the first user actions, and identifying second users of the system who performed the second user actions and failed to perform the first user actions. The method may include generating a target audience to which to present the advertisement campaign, and causing presentation of the advertisement campaign to the target audience.

Abstract: Mechanisms are provided for implementing a proximity based candidate answer pre-processor engine that outputs a sub-set of candidate answers to a question and answer (QA) system. The mechanisms receive a lexical answer type (LAT) and an entity specified in an input natural language question as well as an ontology data structure representing a corpus of natural language content. The mechanisms identify a set of candidate answers having associated nodes in the ontology data structure that are within a predetermined proximity of a node corresponding to the entity, and a sub-set of candidate answers in the set of candidate answers having an entity type corresponding to the LAT. The mechanisms output, to the QA system, the sub-set of candidate answers as candidate answers to the input natural language question for evaluation and selection of a final answer to the input natural language question.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, to improve the impact of digital media. One of these methods includes providing a non-affiliated advertisement to a plurality of users. The method includes receiving indications that a subset of the plurality of users have viewed the non-affiliated advertisement. The method also includes creating a control group for an advertisement from the subset of the plurality of users that received the non-affiliated advertisement.

Abstract: A computer-implemented method, computerized apparatus and computer program product for minimum coordination passage scoring. Given a candidate passage in a document collection potentially matching a query received, a set of overlapping terms between the candidate passage and the query is determined. For each overlapping term in the set, a first measure of a weight of the term in the query, a second measure of a weight of the term in the candidate passage, and a third measure of a specificity of the term in the document collection are calculated. a function of the first and second measure is evaluated to obtain a value reflecting a condition on the relation therebetween. A minimum coordination score representing a relative similarity between the candidate passage and the query is determined based on the value and the first, second and third measures obtained for each of the overlapping terms.

Abstract: Facilitating requests of reviews is disclosed. Contact information associated with a potential reviewer is obtained. A message requesting the potential reviewer to write a review for an entity is transmitted. In response to receiving an indication that the potential reviewer has accepted the request to write the review for the entity, a review site on which the potential reviewer should be directed to write the review for the entity is dynamically determined. A device associated with the potential reviewer is directed to a profile page of the entity on the dynamically determined review site.

Abstract: An example method of managing rights in a cloud computing system includes: creating a role template having a role template set of rights to resources in the cloud computing system; assigning a tenant set of rights to the resources to each of a plurality of tenants of the cloud computing system, respectively; and creating a role instance for each respective tenant based on the role template and assigning the role instance to each respective tenant, where the role instance is linked to the role template in the cloud computing system and where the role instance includes a role instance set of rights that includes an intersection of the role template set of rights and the tenant set of rights for the respective tenant.

Abstract: Provided herein are method, apparatus, and computer program products for automatically outputting a wearer interface or a redemption interface. The wearer interface and the redemption interface may contain information related to a wearer of a wearable device and a provider respectively. The wearable device may reference a merchant redemption parameters database to facilitate the output of the redemption interface, and the wearable device my reference a wearer parameters database to facilitate the output of the wearer interface. Both the wearer interface and the redemption interface may be displayed on the wearable device by an interactive display.

Abstract: A scoring server makes it possible for a provider of advertising or other content to arbitrarily search for an influencer who is suited to a promotion and to easily control target numbers or target conditions, and is capable of making effects and results from distribution of the promotion feedback into impact and information communicativity and improving precision. This server is connected by a network to a subscriber terminal, an SNS server, and a content provision terminal. Said server: communicates with the SNS server and creates a score of a subscriber's information communicativity; provides content to the subscriber terminal which has been provided from the content provision terminal; and re-creates the score using an action history with respect to the SNS server in relation to the content of the subscriber terminal, and the response to the actions, as feedback elements.

Abstract: Systems and methods for voice-based collection of statistical data are provided. An example method includes sensing, by an acoustic sensor, an ambient acoustic signal; determining, by one or more processors communicatively coupled to a user device and the acoustic sensor, that the user device has played a question prompting a user to answer the question; analyzing, by the one or more processors, the ambient acoustic signal to determine that the user has uttered an answer; converting, by the one or more processors, the ambient acoustic signal including the uttered answer into audio data; sending, via the user device, the audio data to a remote computing system; converting the audio data into text and at least one feature associated with the user; generating a record including the text and the at least one feature; and adding, by the remote computing system, the record to the statistical data.

Abstract: Methods and systems for Artificial Intelligence (AI)-based analysis of oral surveys are provided. An example method commences with prompting a user to provide an oral survey concerning a subject. The method further includes providing the user with an interface configured to receive the oral survey. The method includes receiving, via the interface, the oral survey concerning the subject in a free format. The method further includes analyzing the oral survey with the AI to determine key parameters associated with the subject. The method further includes generating a structured survey report concerning the subject based on the key parameters.

Abstract: The present disclosure is directed to a networking system that provides a user experience in which users of the networking system can interact with user-generated digital content items to select and receive information about one or more products. In particular, the systems and methods involve identifying products shown within user-generated digital content items and associating the user-generated digital content items with the identified products. In addition, where a user selects a product shown within a digital content item, the systems and methods involve selectively identifying other user-generated digital content items for the user based on a coefficient between the user and the other user-generated digital content items. Moreover, the systems and methods involve tracking user-interactions with respect to digital content items and generating and providing a creation insight including an identification of one or more products predicted to engage users of the networking system.

Abstract: Securing inter-frame communication within a web page. First, receipt of a request from a client for accessing a web page document is detected. The request includes a URL that identifies the web page document. The web page document has a tree structure that includes a top parent object and multiple child objects. The multiple child objects include at least a first child object associated with a first domain and a second child object associated with a second domain. The web page document is retrieved from a location corresponding to the URL. The code of the retrieved web page document is then modified to enable secure communication between modified code of the first child object and modified code of the second object. Finally, the modified web page document is sent to the client.

Abstract: A method includes receiving, at a computing device, first image data of a viewer of an output of user equipment. The method includes selecting, at the computing device based on a first item identified in the first image data, a background component to be included in multimedia content. The method also includes providing, from the computing device, the multimedia content to the user equipment for presentation to the viewer. The multimedia content includes the background component and a first foreground component, where the first foreground component has a first characteristic.

Abstract: Methods and systems for providing context-based voice-related advertisement offers are provided. An example method may include receiving, via a sensor of a user device, a voice command of a user; determining, based partially on the voice command, a context; and sending, via the user device, the context to a remote advertisement platform, wherein the remote advertisement platform is configured to determine, based on the context, an advertisement offer for the user and send the advertisement offer to the user device, causing the user device to play back the advertisement offer; determining, via the sensor of the user device, a reaction of the user to the advertisement offer, and in response to the reaction of the user, providing, via the user device to the remote advertisement platform, information concerning the reaction of the user.

Abstract: A deal allocation platform is disclosed. The deal allocation platform may be configured to be used in multiple contexts, such as, for example, a batch processing context and a real-time context. Further, the deal allocation platform may be configured to reallocate users assigned to deals based on an approximation of a global optimization problem. In addition, the deal allocation platform may enable configuration of one or multiple experiments.

Abstract: Providing an interested party with network availability of certain devices may provide a method including one or more of receiving user requirements for a user device, identifying IoT devices based on a degree of matching between manufacturer-defined capabilities of the IoT devices and the user requirements, verifying the manufacturer-defined capabilities based on tests that expose risks with the manufacturer-defined capabilities of the IoT devices in comparison to current operating features of the IoT devices, determining that no single IoT device satisfies the user requirements based on the verifying, identifying a group of IoT devices which meet or exceed the user requirements, and outputting information about the group of IoT devices including information about exposed risks with manufacturer-defined capabilities of the group of IoT devices via a user interface which enables selection and use of IoT devices included within the group of IoT devices.

Abstract: Systems and methods for determining a marketing strategy for an online to offline service are provided. A method may include: obtaining a plurality of historical vectors, determining a first value function according to a first reinforcement learning algorithm based on the plurality of historical vectors, determining a first value under a state of a driver to provide the online to offline service based on the first value function and the plurality of historical vectors, and obtaining a first regression model by training an initial model, wherein the plurality of historical vectors are inputs of the initial model, and the first value under the state is a label of the initial model.

Abstract: A computer-executable method, a computer system and a non-transitory computer-readable medium are provided for enabling download of a promotion application program provided by a promotion and marketing service. The method includes using a computer-executable tool on a first application program to initiate a determination of whether a promotion application program is installed on the mobile computing device. The method includes, upon determining that the promotion application program is not installed on the mobile computing device, using the first application program to indicate an impression of a promotion in association with a representation of the promotion application program. The representation of the promotion application program is configured to enable download of the promotion application program to the mobile computing device.

Abstract: A computer-implemented system is disclosed for providing a platform for managing a campaign for publishing data content on social networks to increase audience member reaction to the data content.

Abstract: Systems and methods are provided for identifying an influencer from a pool of people based on past interactions with one or more items. A similarity score is calculated for each of a plurality of items. An affinity score is determined for each person in the pool of people for each of the plurality of items. A similar item affinity score is calculated for each person based on the similarity score for each item and the affinity score for that item. The influencer is identified based on the similar item affinity scores for each person in the pool of people. The influencer is granted a permission to perform a particular action related to the particular item based on being identified as the influencer.

Abstract: Methods and systems for assessing perceptual characteristics are provided.

Abstract: The present disclosure is directed to a networking system that provides a user experience in which users of the networking system can interact with user-generated digital content items to select and receive information about one or more products. In particular, the systems and methods involve identifying products shown within user-generated digital content items and associating the user-generated digital content items with the identified products. In addition, where a user selects a product shown within a digital content item, the systems and methods involve selectively identifying other user-generated digital content items for the user based on a coefficient between the user and the other user-generated digital content items. Moreover, the systems and methods involve tracking user-interactions with respect to digital content items and generating and providing a creation insight including an identification of one or more products predicted to engage users of the networking system.

Abstract: A computer-implemented method, computer program product, and computing system for receiving a social platform inquiry from a client; executing the social platform inquiry on a social platform pool to generate a result set; and providing the result set to the client.

Abstract: A computer-implemented method, computer program product, and computing system for receiving a contribution for a social platform from a client; producing promotional material for the client concerning their contribution to the social platform, wherein this promotional material is configured to positively impact a current responsibility score associated with the client; and publishing the promotional material.

Abstract: Systems and methods are presented for matching a buyer and a seller on a market place system and generating calibrated user profiles. In one such system a plurality of subjective estimations of value is received. The subjective estimations of value are a measure between a predetermined minimum value and a predetermined maximum value. A user profile is generated. A plurality of user actions corresponding to the plurality of subjective estimations of value is received. The user profile is calibrated based on the plurality of user actions.

Abstract: A system that incorporates teachings of the present disclosure may include, for example, a communication device having a controller to present a plurality of selectable commodity items, detect one or more selections from the plurality of commodity items, generate a list from the one or more commodity items selected, and transmit the list to a system. The system can be adapted to receive the list from the communication device, determine a selection order for the items in the list based on a location of each item in a store and at least one characteristic of at least one of the items, update the list according to the selection order, and transmit the updated list to a device for conducting commodity shopping according to the adjusted list. Other embodiments are disclosed.

Abstract: Techniques for targeted security monitoring using semantic behavioral change analysis are described. A mutation monitor can use a code repository to generate a build of a software project prior to a code commit and another build after the code commit. An instruction-difference between the builds can be generated and used to perform a change impact analysis to identify control-flow and data dependencies changed as a result of the code commit. A semantic difference can be generated by annotating a syntactic difference for the code commit based on the identified control-flow and data dependency changes to allow for the behavioral changes to be easily shown to a user. Security impact analysis can be performed on parts of the software impacted by the code commit to quickly determine the security impacts introduced by the code commit.

Abstract: This disclosure covers methods, non-transitory computer readable media, and systems that provide an application programming interface (“API”) for facilitating requests and duplication of multiple associated digital objects maintained within multiple levels of a digital content account. In some implementations, the API facilitates duplication of multiple digital objects based on a single API request that identifies (or includes duplication parameters for) associated digital objects from different levels within a digital content account.

Abstract: A method, apparatus, system, and computer program product provide the ability to bid for an advertising impression. Via input from an advertising purchaser, a publisher specification is defined. The publisher specification provides impression information regarding impressions desired by the advertising purchaser. An auction is conducted by receiving one or more bids (that comply with the specification) from one or more publishers. A determination is made regarding which of the one or more publishers has provided a successful bid. The advertising purchaser is enabled to provide one or more advertisements to the one or more successful bidding publishers.

Abstract: Aspects of the subject disclosure may include, for example, a method that includes determining, by a processing system, whether a transmission from a client device includes a request to participate in a sponsored data session. If a sponsored data session is requested, the request is sent to equipment of a sponsoring entity. The processing system receives a list of data items available from the equipment of the sponsoring entity in the sponsored data session; initiates the sponsored data session; and generates a session identifier for transmission to the client device. The processing system also determines whether a subsequent request received from the client device corresponds to a listed data item, and causes a sponsored data rate to be applied to a client account for transfer of the data item. Other embodiments are disclosed.

Abstract: A computer-implemented method, computer program product, and computing system for receiving a social platform inquiry from a client; analyzing a current responsibility score associated with the client; recommending one or more social platforms based, at least in part, upon the current responsibility score; and predicting an updated responsibility score for the client based, at least in part, upon the one or more social platforms.

Abstract: Example implementations are directed to methods and systems for curating messages from viewers to identify a question associated with a recorded video that include video data, where the question is extracted from a queue of the video data; analyze the video data to determine one or more answer segments for the question that satisfy a confidence score based on a location of the question in the recorded video; and generate an answer summary for the question with links to each of the one or more segments, where the links are ranked based on the confidence score.

Abstract: Provided is an apparatus which selects desired explanatory variables from a plurality of candidate explanatory variables in a statistical model that expresses, by a predetermined function, a relationship between a linear predictor and an expectation value of a response variable or a probability of the response variable having certain values, by using a variable selecting model that expresses the linear predictor as a sum of a constant and a linear combination of the candidate explanatory variables and their corresponding coefficients, the apparatus including a sign condition acquisition unit for acquiring sign conditions for at least one of the coefficients; an estimator for calculating an estimate of the respective coefficients and an estimate of the constant under the sign conditions, using plural data; and a selection unit for selecting, as the desired explanatory variable, the candidate explanatory variable corresponding to the coefficient of which the estimate is calculated to be non-zero.

Abstract: This disclosure is directed to a social networking server that includes different engines and databases to support the generation of visually meaningful electronic presentations that present member-provided data in one or more graphical and understandable charts and graphs. An electronic presentation includes one or more electronic documents where various ones of the electronic documents are generated from templates that specify the “look-and-feel” for a given type of electronic document. Rather than having to manually enter and design graphs and charts to present member-provided data in a meaningful way, the social networking server leverages the stored electronic document templates to create these charts and graphs. However, as there may be multiple systems involved in creating a given type of chart or graph, the social networking server is tasked with coordinating the efforts of these different systems.

Abstract: Systems and methods are disclosed for enabling incremental reach for an advertising campaign, across multiple screens/channels. In some embodiments, a base TV/media plan is uploaded, and targeted exposed viewers are monitored. Unexposed target viewers are identified. Additional media channels that unexposed viewers use are found. Unexposed viewers are matched with pricing and media avails from one or more media directories. Media avails are then analyzed along with incremental on-target impressions. Targeted avails for unexposed viewers are then determined, based on lowest incremental cost and largest incremental reach are added to a current cross-screen plan. An analysis to find new unexposed viewers is then re-run to determine the next-most cost effective avails. The above steps are repeated or looped until a selected advertisement budget has been allocated. User interface embodiments for these methods are also disclosed.

Abstract: Systems and methods are disclosed for enabling incremental reach for an advertising campaign, across multiple screens/channels. In some embodiments, a base TV/media plan is uploaded, and targeted exposed viewers are monitored. Unexposed target viewers are identified. Additional media channels that unexposed viewers use are found. Unexposed viewers are matched with pricing and media avails from one or more media directories. Media avails are then analyzed along with incremental on-target impressions. Targeted avails for unexposed viewers are then determined, based on lowest incremental cost and largest incremental reach are added to a current cross-screen plan. An analysis to find new unexposed viewers is then re-run to determine the next-most cost effective avails. The above steps are repeated or looped until a selected advertisement budget has been allocated. User interface embodiments for these methods are also disclosed.

Abstract: Methods, systems, and apparatus, including computer program products, for processing events related to presented content. In one aspect, a method includes determining a time window count of a number of advertising events associated with an advertisement during at least one time window before a conversion event; and determining a credit that represents a strength of an association between the advertisement and the conversion event, wherein determining a credit includes selecting a weighting model for the at least one time window count.

Abstract: In an example embodiment, a cohort to target is identified, the cohort including a plurality of members of a social networking service having member profiles that all share at least one attribute value. A minimum number of eligible members of the cohort in order to provide relevant statistical insights from confidential data submitted by eligible members of the cohort is identified, and based on an assumed response rate for eligible members of the cohort, a total number of eligible members in the cohort, and the minimum number of eligible members of the cohort in order to provide relevant statistical insights, the eligible members are divided into a first wave and a second wave.

Abstract: In an embodiment, a cohort to target is identified, the cohort including a plurality of members of a social networking service having member profiles that all share at least one attribute value. A minimum number of eligible members needed to provide relevant statistical insights from confidential data submitted by eligible members of the cohort is identified. Then, based on an assumed response rate for eligible members of the cohort, a total number of eligible members in the cohort, and the minimum number of eligible members needed to provide relevant statistical insights, it is determined that an estimated amount of responses to invitations to submit confidential data to eligible members of the cohort is less than the minimum number of eligible members needed to provide relevant statistical insights. In response to the determination, the cohort is altered to include eligible members from at least one other cohort, and the process repeated.

Abstract: In one embodiment, a method includes detecting a triggering event for sending a notification to a user of an online social network. The method may also include accessing multiple of versions of the notification. Each version may include one or more template elements of a particular content type. The method may also access user data associated with the user that includes data associated with one or more relationships of the user on the online social network or data associated with actions performed by the user. The method may also include determining a score for each version representing a likelihood of the corresponding version being consumed by the user. The method may also include generating a personalized notification by using the selected version of the notification and replacing each of the template elements of the selected version of the notification with content of the content type associated with the template element.