Abstract: An artificial-intelligence-directed social network extender for existing employees and recruiters which increases the pool of available candidates for an employer while also maximizing the effectiveness of candidate selection. In an embodiment, a recruiting manager extends the social networks of employees and recruiters to maximize the available pool of candidates for a given job opening. A first machine learning algorithm provides instructions to a crawler to gather both candidate information from the extended social network, plus corporate structure information from the Internet for privacy and conflict checking purposes. The gathered information is stored in a knowledge graph which is analyzed by a second machine learning algorithm to identify candidates and relationships most likely to produce a good fit for the job opening.

Abstract: A system and method to identify and track one or more targets of interest. The system may include a plurality of collection systems to capture information related to visual identifiers and/or electronic signatures associated with targets in selected locations. The system may further include an intelligence system to determine a target of interest based on the information related to visual identifiers and/or electronic signatures and to track the target of interest.

Abstract: A computing system that determines employee and organizational compliance includes one or more databases that store organizational data and one or more processors to execute instructions to perform various operations.

Abstract: A lighting control system for controlling a cumulative light emitted by a lighting fixture may comprise a light-emitting diode (LED) driver comprising an output for conducting an output current, and a control module electrically coupled to the output of the LED driver for receiving the output current. The LED driver may regulate the magnitude of the output current towards a target current, and may be characterized by a low-end intensity. The control module may be coupled to a first LED light source of the LED light sources. The control module may receive a command including a requested intensity and control the magnitude of a first LED current through the first LED light source. The control module may control the cumulative light output of the lighting fixture below the low-end intensity of the LED driver by diverting a portion of the output current away from the first LED light source.

Abstract: An apparatus for success probability determination for a user is provided. Apparatus may include at least a processor and a memory communicatively connected to the processor. The memory may contain instructions configuring the at least a processor to receive a plurality of criteria; generate indicators as a function of the criteria; receive user specifications, the user specifications comprising credentials of a user; and classify the user specifications to a performance category of a plurality of performance categories based on the user specifications and the indicators.

Abstract: Systems and methods to generate units of work within a collaboration environment based on video dictation are described herein. Exemplary implementations may: manage environment state information maintaining a collaboration environment; responsive to the user-initiation of video dictation sessions, obtain video information characterizing content of the video dictation sessions; responsive to detection of completion of the video dictation sessions, generate one or more units of work for the users based on the content of the video dictation sessions; responsive to detection of completion of the video dictation sessions generate, store the video information as part of the environment state information; and/or perform other operations.

Abstract: In some implementations, a device may obtain interaction data for an evaluator in a communication session with an individual based on interactions of the evaluator with the individual during the communication session, wherein the evaluator is to provide the evaluation of the individual. The device may obtain evaluation information identifying the evaluation of the individual by the evaluator. The device may determine a degree of bias of the evaluator toward the individual during the communication session based on at least the interaction data. The device may adjust the evaluation of the individual based on the degree of bias of the evaluator.

Abstract: An apparatus for creating a video record is disclosed. The apparatus includes a processor communicatively connected to a user device and a memory communicatively connected to the processor. The memory contains instructions configuring the processor to prompt a user with an initial request, receive an initial response from the user, prompt the user with a subsequent request based on the initial response, receive a subsequent response from the user, and create a video record as a function of the initial response and the subsequent response.

Abstract: The embodiments of the present disclosure provide a method for managing school attendance of a smart city based on the Internet of Things, which is implemented by a school attendance management platform. The method for managing school attendance includes: obtaining student registration information based on a student user platform; obtaining student evaluation scores based on a plurality of school user sub-platforms; aggregating the student registration information and the student evaluation scores through a school attendance service platform to obtain aggregated data; and determining school place allocation based on the aggregated data.

Abstract: In an aspect, an apparatus for wage index classification is disclosed. The apparatus may include a processor and a memory. A processor may be configured to receive a wage index from a user. A processor may also extract a candidate datum from a plurality of candidates. Candidate datum is then classified to a wage index classification data. This may be achieved through training a wage index classifier using candidate training data correlating candidate data elements to wage index classification data elements and classifying the candidate data to the wage index classification datum using the wage index classifier. A processor may then generate a wage compatibility score as a function of wage index classification data and a posting datum. Then a processor may be configured to transmit to a display device configured to display a wage compatibility score.

Abstract: Approaches presented herein enable dynamically determining a validity of a return. More specifically, a system obtains a return request from a customer, a transaction history of the customer, and a set of return policy rules. A generative adversarial network (GAN) trained to detect non-genuine returns is applied to the return request. The GAN uses, among other this, the transaction history of the customer and the set of return policy rules as parameters of the GAN. Based on an output of the GAN, at least one return processing action is recommended and implemented.

Abstract: A system includes a processor and an interface coupled to the processor. The processor determines that a first user takes a first action, and determines to pair the first user and a second user. The processor pairs the first user and the second user for an interaction, where the interaction lasts for a first time period. The interface receives an indication of a preference of the first user for the second user at a second time. The second time is after the first time period.

Abstract: A social recommendation method based on a multi-feature heterogeneous graph neural network is provided and includes: extracting attribute information of users and topics to code; processing user coding information and topic coding information through a multi-layer perceptron to obtain initial feature vectors of the users and the topics; establishing a heterogeneous graph by taking the users and the topics as nodes; inputting the heterogeneous graph into a heterogeneous graph neural network to perform information transmission in combination with an attention mechanism, and updating the feature vectors; and performing similarity calculation on the feature vectors of the users, and selecting the user and the topic with the highest similarity with the feature vector of the user for recommendation. Social information can be mined more comprehensively, features of users and interested topics of the users can be deeply fused, and recommendation accuracy and user experience can be improved.

Abstract: A system and method for providing service information on a social network.

Abstract: An apparatus for screening users. The apparatus includes a processor communicatively connected to a user device and a memory communicatively connected to the processor. The memory contains instructions configuring the processor to receive verbal communication associated with a user and parse, using a chatbot, at least a user characteristic from the verbal communication. The processor also screens the user as a function of the user characteristic. Screening the user includes generating a compatibility score based on a compatibility of the at least a user characteristic and a posting and determining a confidence score wherein the confidence score comprises a quantitative value reflecting a confidence in the screening.

Abstract: An employment recruitment method based on face recognition includes acquiring a candidate's data from a third-party website, analyzing the candidate's data by a semantic analysis method to identify human resources information of the candidate, and analyzing messages and postings in the human resources information of the candidate to determine candidate's personality. A terminal device acquires a second face image of the candidate by a second camera, analyzes the second face image of the candidate by a computer vision algorithm to determine a micro-expression of the candidate, and provides the candidate's human resources information, the candidate's personality, and the candidate's micro-expression to the recruiter to evaluate the candidate. The terminal device applying the method is also disclosed.

Abstract: Various embodiments are provided for managing regulatory compliance for an entity in a computing environment by a processor. A law, policy, regulation, or a combination thereof extracted from one or more segments of text data from one or more data sources may be identified requiring an obligation to be performed by the entity.

Abstract: The disclosed embodiments provide a system that facilitates electronic communication among users. During operation, the system obtains financial data as a set of financial transactions. Upon receiving a request to transmit a message, the system obtains one or more recipient attributes from the request. Next, the system uses the financial transactions to identify a set of recipients that matches the one or more recipient attributes. The system then transmits the message to the set of recipients without revealing the PII for the set of recipients to a creator of the message.

Abstract: An apparatus for creating a video record is disclosed. The apparatus includes a processor communicatively connected to a user device and a memory communicatively connected to the processor. The memory contains instructions configuring the processor to prompt a user with an initial request, receive an initial response from the user, prompt the user with a subsequent request based on the initial response, receive a subsequent response from the user, and create a video record as a function of the initial response and the subsequent response.

Abstract: A solid state driver to adapt current ripple characteristics therein, at least partially based on operating characteristics of a solid state lighting device operated by the driver, is provided. The driver senses operating voltage, operating current, or a combination of operating voltage and operating current of a solid state lighting device. The driver stores pre-determined current ripple percentage settings in a data structure, for example, in a controller circuit. The driver selects and implements one of the pre-determined current ripple percentage settings based on one or more of the sensed operating characteristics of the solid state lighting device, to improve efficiency, to reduce the operating frequency, and/or to lower the operating temperature of one or more components of the driver.