Abstract: The embodiment of the present disclosure discloses a method and device for displaying information. A specific mode of execution for the method comprises the following steps: in response to the detection of a first preset operation performed by a first user on the page of a second user, sending operation prompt information to a terminal device used by the first user, the page of the second user being used for exhibiting contents shared by the second user, the first preset operation being used for requesting to add a user label corresponding to the second user for the first user; in response to the detection of the second preset operation completed by the first user, adding the user label for the first user; generating an initial associated value used for indicating the association degree between the first user and the second user, and displaying the initial associated value on the page.

Abstract: An electronic device is provided. The electronic device includes a camera, a memory configured to store a model learned to determine whether a user performing authentication for a financial service is in a threat situation, and a processor configured to perform authentication for the financial service based on biometrics information of the user performing authentication for the financial service. The processor may acquire an image by photographing the user performing authentication through the camera, acquire information on whether the user performing authentication is in a threat situation from the learned model, with information acquired from the image as input of the learned model, and perform authentication for the financial service according to the acquired information. At least a part of the learned model is an artificial intelligent algorithm, which may be performed according to at least one of machine learning, neural network, or deep learning algorithm.

Abstract: Systems, methods, and non-transitory computer-readable media can determine a user embedding for a user of a content provider based on one or more machine learning models. A job embedding for a job posting published through the content provider can be determined based on one or more machine learning models. A determination can be made of a threshold level of similarity between the user embedding and the job embedding. The job posting can be provided as a recommendation to the user through the content provider.

Abstract: System and method for generating case-based data including receiving, input data describing an event of interest; if the input data is not in a format of a property graph then transforming the input data into a first property graph describing the event of interest and representing a first network, wherein the first property graph includes a plurality of network elements and properties of at least some of the plurality of network elements, wherein the network elements include entities and links describing relationships between the entities; changing a network element in the first property graph to create a second property graph of a new network; and using the second property graph as the case-based data. New properties may be generated for the entities and links.

Abstract: An artificial intelligence (AI) logic problem platform. A disclosed system includes a first AI module having: a problem generator for automatically generating unique reasoning problems; and a solution analyzer for automatically analyzing a logic solution submitted in response to an automatically generated reasoning problem; and a second AI module includes a user interface for allowing a user to create the logic solution and output a solution file.

Abstract: A computer-implemented method includes receiving an indicator of enrollment of a user in a breach notification service; acquiring information regarding the user; and generating one or more indicators of a data breach for an entity that stores one of data regarding the user or an indication of a transaction with the user in a past predefined time period. The computer-implemented method further includes determining that the one or more indicators meet a threshold level for notifying the user of the data breach; in response to determining that the one or more indicators meet the threshold, generating a notification specific to the user regarding the data breach; and providing the notification to the user during a log-in process for a product or service associated with the provider computing system.

Abstract: A method includes generating recommendations and user structures by applying a recommender machine learning model to training user information and item information, and generating, from the user structures and by applying a demographic machine learning model, demographic predictions of users represented by the user structures. The method further includes generating a first accuracy measure of the demographic machine learning model based on a first comparison of the demographic predictions with demographics of the users. A recommender loss function is generated based on the first accuracy measure and a second comparison of the recommendations with selections of users, where the recommender loss function uses the first accuracy measure to suppress detectability by the demographic machine learning model. The method further includes updating the recommender machine learning model according to the recommender loss function.

Abstract: A system for a user to submit complying documents in response to traffic and vehicle citations wherein the user's documents are submitted via a global computerized network. The system employs a server to store the submitted information into a database. The system has verification means to ensure that the images are acceptable and the information on the documents a user submits matches the information the agency has on record for the corresponding user. The system then verifies that a user has provided payment and is able to generate emails to the users prompting them to undertake different actions and saves copies of correspondence sent to and by the user.

Abstract: Ownership of physical article are electronically registered in a database upon purchase of the physical articles from merchants. A merchant gives a uniquely numbered card to a customer with each purchased physical article. The numbered cards are not initially associated with a particular physical article. Each physical article has a label with a unique identifier code attached to the article or to the packaging of the article. The registration process involves associating the numbered card with the article's label. Registration is only permitted if the numbered card and the label's identifier code are not associated with a previously sold article. This process thwarts the potential sale of counterfeit articles to purchasers.

Abstract: A method, system, and recording medium for managing official accounts is disclosed. An official account management method includes the steps of setting a relation between official accounts that are accounts of sponsors on a messenger, and managing the official accounts by classifying the official accounts in a related account group in accordance with the relation between the official accounts.

Abstract: Example embodiments disclose systems and methods for providing a property profile for a property. The disclosed systems and methods enable receiving, via a network at a social home buying system, identifying data from a mobile device, receiving location data, via a network at a social home buying system, from the mobile device, retrieving property data from a property information database that stores information about the property based on the at least one of the identifying data and location data, creating a property profile based on the property data, identifying data, and location data, storing the property profile in a property profile database, and providing the property profile via a network to a social networking site.

Abstract: A system includes a processing circuit including a processor coupled to machine readable storage media having instructions stored therein that, when executed by the processor, cause the processor to perform operations including receiving a geographical indicator regarding a user, obtaining a list of government representatives associated with the geographical indicator, displaying the list of government representatives to the user via a graphical user interface, receiving a selection of at least one government representative from the list of government representatives via the graphical user interface, and obtaining information about the at least one selected government representative, where the information includes real-time information pertaining to the at least one selected government representative.

Abstract: Systems, methods, and apparatuses are described for an intelligent dashboard that allows interested parties to verify and validate relevant information on enterprises and their representatives. A servicing entity may provide an enterprise with a dashboard that includes select fields corresponding to information predicted to be useful to clients of the enterprise based on commercial characteristics of the enterprise and its client base. Fields may be populated with information previously available to the servicing entity, and with supplemental information acquired (manually or automatically) from the enterprise or from third party data sources. The enterprise may impose restrictions on which information is to be available to which clients, and the servicing entity may generate a code for use by clients to access the dashboard or certain information. The dashboard can allow clients to track the location of a representative and help validate the identify of a representative arriving at a client's location.

Abstract: The disclosed embodiments provide a system for processing data. During operation, the system obtains a first embedding generated by a topic model from parameters of searches by a first recruiting entity and obtains a set of additional embeddings generated by the topic model from attributes of a set of candidates. Next, the system determines match features that include measures of similarity between the first embedding and each embedding in the set of additional embeddings. The system then applies a machine learning model to the match features and additional features for the candidates to produce a set of scores for the candidates. Finally, the system generates a ranking of the candidates according to the scores and outputs at least a portion of the ranking as search results of a current search by the first recruiting entity.

Abstract: Systems and methods for determining an amount of correlation between non-orthogonal vectors characterizing quantified curricula participation include generating a prioritization matrix for the scholarship including entries associated with ideal characteristics of scholarship applicants; generating an applicant attribute vector characterizing attributes of an applicant extracted from the application; calculating a product for each entry of the prioritization matrix by multiplying corresponding entries of the prioritization matrix and the applicant attribute vector; applying a weighting factor to the product for each entry of the prioritization matrix resulting in weighted products for each entry of the prioritization matrix; accumulating the weighted products into an applicant quality score indicating an amount of correlation between the prioritization matrix and the applicant attribute vector; transmitting an enhanced data packet to another computing device including the applicant attribute vector, the priori

Abstract: Systems and methods are described, and an example system includes, in association with an intermediate, a server and a validation module on the server. The server receives a communication from a mobile device, carrying a customs information. The validation module performs a validation on the customs information and in association with an affirmative validation outcome stores the customs information as a validated information. Upon an occurrence, optionally an event and optionally a time, the validation module sends the validated information to an authorization authority server for vetting. The intermediate server receives an electronic receipt from the authorization authority server, the receipt including an indication of a result of the vetting, and communicates, via the network, the receipt to the mobile device.

Abstract: A data linking system is described herein that links data records corresponding to a particular real estate property even if there are inconsistencies in the data records, the physical presence of the real estate property has changed over time, and/or the data records use different terminology. In some cases the data records are matched using a trained machine learning model. The data linking system can optionally generate a visualization of the data record linkage via interactive user interfaces. By linking data records despite the issues described above, the data linking system reduces the number of navigational steps a user performs to obtain data associated with a property and/or reduces data processing times. The disclosed system may be used to generate and maintain a comprehensive database of substantially all properties within a jurisdiction, in which a unique identifier is assigned to each property.

Abstract: A data linking system is described herein that links data records corresponding to a particular real estate property even if there are inconsistencies in the data records, the physical presence of the real estate property has changed over time, and/or the data records use different terminology. In some cases the data records are matched using a trained machine learning model. The data linking system can optionally generate a visualization of the data record linkage via interactive user interfaces. By linking data records despite the issues described above, the data linking system reduces the number of navigational steps a user performs to obtain data associated with a property and/or reduces data processing times. The disclosed system may be used to generate and maintain a comprehensive database of substantially all properties within a jurisdiction, in which a unique identifier is assigned to each property.

Abstract: Techniques are described for automatically generating job descriptions. Job categories are identified for the documents in the job description dataset based on clustering the documents. Sections within each document in the job description dataset are automatically identified, and each identified section is automatically classified. Each type of section is analyzed independently of the other section types using natural language processing, which allows automatic generation of each section of a new job description based on the section-specific data derived from the dataset. Section- and category-specific selective phrases are identified within the job description dataset, and embeddings are generated for the identified selective phrases. A request to generate a new job description for a particular category is received.

Abstract: Systems and method are provided for fraud detection and user account deduplication. One method includes receiving a request from a user to register a third user account; receiving user information associated with the third user account, wherein the user information comprises a second attribute; at a third time entry, modifying the first data store by: searching the plurality of first entries in the first data store; comparing the second attribute to the first attribute of each first entry; determining that at least one first entry comprises a first attribute that is identical to the second attribute; adding second and third entries, wherein the second entry comprises the first and third user accounts, the second attribute, and the first and third time entries; and the third entry comprises the second and third user accounts, the second attribute, and the second and third time entries.