Abstract: Techniques enable contextually-aware selections of event forums. Scheduling data can be analyzed to identify a context associated with an appointment. A forum that is appropriate for the identified context can be selected and utilized. The analysis can also utilize traffic data, map data, weather data, user preferences, and other contextual data to select one or more forums. A forum can be a place or communication medium. A service provider can associate one or more forums with a particular skill set. For example, a legal office can associate an online forum, such a videoconference, with a first category of services, and an on-site location for a second category of services. Depending on a category of services identified in one or more user preferences and/or meeting requests, a forum can be selected. Other factors, which may include weather conditions, traffic conditions, and commute times can also influence the selection of a forum.

Abstract: Provided is a state determination apparatus that appropriately performs pattern classification processing and/or pattern determination processing even when a map generated by the SOM technique includes discontinuous image regions. In the state determination apparatus, the matching processing unit obtains adaptability data indicating a correlation degree between template data indicating a state and the SOM output data. The state determination unit obtains a state evaluation value based on an activity value obtained by the activity value obtaining unit and the adaptability value. The time series estimation unit determines a state of an input data based on the state evaluation value and state transition probability between states. This allows for appropriately performing pattern classification processing and/or pattern determination processing even when a map generated by the SOM technique includes discontinuous image regions.

Abstract: Systems, methods and apparatus may be configured to implement automatic semantic classification of a detected object(s) disposed in a region of an environment external to an autonomous vehicle. The automatic semantic classification may include analyzing over a time period, patterns in a predicted behavior of the detected object(s) to infer a semantic classification of the detected object(s). Analysis may include processing of sensor data from the autonomous vehicle to generate heat maps indicative of a location of the detected object(s) in the region during the time period. Probabilistic statistical analysis may be applied to the sensor data to determine a confidence level in the inferred semantic classification. The inferred semantic classification may be applied to the detected object(s) when the confidence level exceeds a predetermined threshold value (e.g., greater than 50%).

Abstract: A system and method for predicting search term popularity is disclosed herein. A database system may comprise a first database cluster H and a second database cluster L. A machine learning algorithm is trained to create a predictive model. Thereafter, for each record in a database system, the predictive model is used to calculate a probability of the record being accessed. If the calculated probability of the record being accessed is greater than a threshold value, then the record in the first database cluster H; otherwise, the record is placed in the second database cluster L. Training the machine learning algorithm comprises inputting a training feature vector associated with the record into the machine learning algorithm, inputting a cost vector into the machine learning algorithm, and iteratively operating the machine learning algorithm on each record in the set of records to create a predictive model. Other embodiments are also disclosed herein.

Abstract: An ion trap device is provided as well as a method of manufacturing the ion trap device including a substrate, central DC electrode, RF electrode, side electrode and an insulating layer. Disposed over the substrate, the central DC electrode includes DC connector pad and DC rail connected thereto. The RF electrode includes RF rail adjacent to the DC rail and RF pad connected to RF rail. The side electrode has RF electrode disposed between thereof and the central DC electrode. The insulating layer supports one of the central DC electrode, RF electrode and side electrode, on a top surface of the substrate. The insulating layer includes first insulating layer and second insulating layer disposed over the first insulating layer, and the second insulating layer includes an overhang protruding with respect to the first insulating layer in a width direction of the ion trap device.

Abstract: Quantum circuits and circuit designs are based on factorizations of diagonal unitaries using a phase context. The cost/complexity of phase sparse/phase dense approximations is compared, and a suitable implementation is selected. For phase sparse implementations in the Clifford+T basis, required entangling circuits are defined based on a number of occurrences of a phase in the phase context in a factor of the diagonal unitary.

Abstract: Disclosed is a guidance technique that can be applied to guide search and analysis of stored data by a user. The technique can include inputting from a user a portion of a search query expressed in a pipelined search language, at a system for indexing and searching machine data. The system generates and outputs search guidance for the user as the user builds the search query, by applying the portion of the query to an operation flow model, where the operation flow model represents a plurality of searches performable by the system. The operation flow model has been generated based on multi-user historical search data and includes a plurality of states, each representing a different group of related commands of the pipelined search language.

Abstract: In some examples, a method includes accessing input vectors in an input space, wherein the input vectors characterize elements of a physical system. The method may also include generating feature vectors from the input vectors, and the feature vectors are generated without any vector product operations between performed between any of the input vectors. An inner product of a pair of the feature vectors may correlate to an implicit kernel for the pair of feature vectors, and the implicit kernel may approximate a Gaussian kernel within a difference threshold. The method may further include providing the feature vectors to an application engine for use in analyzing the elements of the physical system, other elements in the physical system, or a combination of both.

Abstract: The methods, systems, and computer program products described herein provide optimized provisioning of replacement parts for service calls through the use of machine learning. In some aspects, historical hardware maintenance tickets may be processed to generate symptoms vectors identifying sets of symptoms associated with the hardware maintenance tickets. The symptoms vectors and corresponding parts usage records of the historical hardware maintenance tickets may be used train a decision model to predict a probability that a particular part will be used to fulfill the new hardware maintenance ticket. The predicted probability may be used by the system when generating a parts provisioning plan for the new hardware maintenance ticket.

Abstract: In some examples, a system includes an access engine and a hyperplane determination engine. The access engine may access a training vector set that includes sparse binary training vectors and a set of labels classifying each of the sparse binary training vectors through a positive label or a negative label. The hyperplane determination engine may initialize a candidate hyperplane vector and maintain a scoring vector including scoring vector elements to track separation variances of the sparse binary training vectors with respect to the candidate hyperplane vector. Through iterations of identifying, according to the scoring vector, a particular sparse binary training vector with a greatest separation variance with respect to the candidate hyperplane vector, the hyperplane determination engine may incrementally update the candidate hyperplane vector and incrementally update the scoring vector to adjust separation variances affected by updates to the candidate hyperplane vector.

Abstract: Dynamically updating a ridge regression data model of a continuous stream of data is disclosed. New data chunks corresponding to a current data accumulation point are received and the data values in the new data chunks are transformed via standardization methods. A ridge estimator for the standardized data that includes data chunks received up to a penultimate data accumulation point to include the new data chunks is dynamically updated. The cumulative observations received up to the current data accumulation point are updated and stored. Predictions for the continuous data stream are generated based on the updated ridge estimator.

Abstract: In one embodiment, a learning machine device initializes thresholds of a data representation of one or more data features, the thresholds specifying a first number of pre-defined bins (e.g., uniform and equidistant bins). Next, adjacent bins of the pre-defined bins having substantially similar weights may be reciprocally merged, the merging resulting in a second number of refined bins that is less than the first number. Notably, while merging, the device also learns weights of a linear decision rule associated with the one or more data features. Accordingly, a data-driven representation for a data-driven classifier may be established based on the refined bins and learned weights.

Abstract: Embodiments of the present invention provide systems, methods, and computer storage media directed at transforming event logs into features for use in machine learning. In embodiments, a method may include receiving an event log for a user. The event log can indicate an occurrence of a first event associated with the user. The method can also include generating a feature value for the first event. The feature value can be indicative of an amount of time that has passed since the occurrence of the first event. Based, at least in part, on the feature value, an occurrence of a second event can be predicted utilizing a predictive model. The prediction can then be output to enable targeted content associated with the second event to be delivered to the user. Other embodiments may be described and/or claimed herein.

Abstract: A data driven intelligent learning and development apparatus and method using an assessment of various traits of an individual to develop skill practice areas, each with one or more development strategies to enhance and/or maintain selected skills of an individual related to the practice areas.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for implementing an intelligence aggregation system. One of the methods includes receiving, by an agent, one or more goal criteria. A search to identify one or more other agents in the system is performed. Connections with the one or more other agents are established, with each connection having an initial weight. Data outputs generated by each connected agent are received to iteratively update a model using the received data outputs and associated weights. If the current model generated from current weights for the connections of the one or more connected agents satisfies the one or more goal criteria, the output of the current model is published to a search engine.

Abstract: A method for privatizing an iteratively reweighted least squares (IRLS) solution includes perturbing a first moment of a dataset by adding noise and perturbing a second moment of the dataset by adding noise. The method also includes obtaining the IRLS solution based on the perturbed first moment and the perturbed second moment. The method further includes generating a differentially private output based on the IRLS solution.

Abstract: Crowdsourcing systems with machine learning are described. Specifically, item-label inference methods and systems are presented, for example, to provide aggregated answers to a crowdsourced task in a manner achieving good accuracy even where observed data about past behavior of crowd members is sparse. In various examples, an item-label inference system infers variables describing characteristics of both individual crowd workers and communities of the workers. In various examples, an item-label inference system provides aggregated labels while considering the inferred worker characteristics and the inferred characteristics of the worker communities. In examples the item-label inference system provides uncertainty information associated with the inference results for selecting workers and generating future tasks.

Abstract: A computer generates labels for machine learning algorithms by retrieving, from a data storage circuit, multiple label sets that contain labels that each classify data points in a corpus of data. A graph is generated that includes a plurality of edges, each edge between two respective labels from different label sets of the multiple label sets. Weights are determined for the plurality of edges based upon a consistency between data points classified by two labels connected by the edges. An algorithm is applied that groups labels from the multiple label sets based upon the weights for the plurality of edges. Data points are identified from the corpus of data that represent conflicts within the grouped labels. An electronic message is transmitted in order to present the identified data points to entities for further classification. A new label set is generated using the further classification received from the entities.

Abstract: A system, method and apparatus provide management of power to meet demand of consumers that consume the power. An interface is configured to receive a pricing signal that indicates a price for the power. Wherein the interface is configured to control an appliance coupled to the interface to shift adjusting power consumption sooner in time than the appliance is predetermined to shift its power consumption.

Abstract: The purpose of the present invention is to make it possible to offer plans from a perspective that a planner had not previously been aware of and to thereby provide attractive plan content to a user. Provided is an information processing device in which a plan reception means 61 receives input plan information 51-2 including a predetermined type of plan content from among plan content for n types of activities. A presentation means 63 subsequently controls the presentation of plan information 51-1 including information that is from a second type of plan content and that relates to a first type of plan content, said plan information 51-1 being presented to a planner who input the plan information 51-2 including the first type of plan content.

Abstract: A computer-implemented method for detecting a working condition of one or more vehicle components includes communicating with a cellular communication module in a vehicle over a telecommunications network. A vehicle component characteristic or identifier for the vehicle components is received over the telecommunication network. One or more operation status identifiers for the one or more vehicle components based on data from the vehicle is also received. A location for servicing or purchasing the one or more vehicle components based on the vehicle component characteristic or identifier is determined. A service status of the one or more vehicle components based on the one or more operation status identifiers is also determined. Based on the service status, a message including an identification of the vehicle components and a service or purchase location for the vehicle components is generated. The message is transmitted to a terminal for display.

Abstract: Dining table with embedded interactive displays capable of detecting the presence of personal identification card carried by a food serving establishment guest and displaying on the closest proximity interactive display to the guest a personalized set of menu items and recommended portion sizes out of the larger set of available food menu items listed on the menus of food serving establishments; the presented personalized subset of food items and portion sizes are selected based on one or more of a multitude of criteria identified by looking up the personal record of the guest utilizing the personal identification information stored in the guest's personal identification card.

Abstract: The generation of a factory order to control production of nucleotide sequences by a gene manufacturing system includes receiving an expression indicating an operation on sequence operands, each representing at least one nucleotide sequence part, evaluating the expression to a sequence specification, wherein the sequence specification comprises a data structure including one or more first-level operations and one or more second-level operations, and generating the factory order based upon execution of the one or more first-level operations and the one or more second-level operations. In a recursive manner, the one or more first-level operations operate on at least one first-level sequence operand, the value of which is resolved by execution of one or more of the second-level operations. The factory order may then be provided to the gene manufacturing system to assemble the sequence parts into nucleotide sequences represented by the sequence specification.

Abstract: Devices, methods, and systems for managing incident workflow are described herein. For example, one or more embodiments include a memory and a processor configured to execute executable instructions stored in the memory. The instructions are executable to receive information associated with a workflow response to an incident at a site, to generate a flow chart, based on the received information, to document a non-linear sequence of steps selectable in response to the incident, and to determine a total number of positive response pathways to reach a node of the workflow in the flow chart.

Abstract: Methods, systems, apparatuses, and computer program products are described herein that generate and assist in managing templates (pre-generated user-customizable automated workflows) that can be used to easily and efficiently develop automated workflows in an automated workflow development system. An automated workflow template for publication that includes parameters is received. At least a portion of the parameters included in the automated workflow template are automatically anonymized to generate an anonymized automated workflow template. The anonymized automated workflow template is published.

Abstract: Embodiments of the present disclosure provide a user interface that enables an administrator to monitor the status of one or more long-running processes executing on a system. According to one or more embodiments, information about the long-running processes is received, analyzed and converted into a single format. This information is then stored in a storage device in the single format. In response to a command request periodically received from a user interface, summary information about the one or more long-running processes is provided to, and displayed on, the user interface. Upon receipt of a user selection of at least a portion of the summary information, the user interface issues a second command request that is similar to the first command request, but includes additional parameters, to retrieve additional information about the selected summary information. Once the additional information is received, the additional information is presented on the user interface.

Abstract: Systems and methods for displaying a dynamic risk level indicator of an ATM site or other remote monitoring site on a map are provided. Some methods can include receiving one or more pieces of data associated with an ATM site, assigning a risk level to the ATM site based on at least one of the one or more pieces of data, and displaying an identifier of the ATM site on a map displayed on a user interface device such that the identifier can visually identify a location of the remote device and the risk level assigned to the remote device.

Abstract: In one embodiment, a progress management system (e.g., collaborative network-based graphical progress management platform) includes features for creating private and public template flows for business processes. For example, a computer implemented method includes obtaining, with the progress management system, identification information to identify a user with respect to the progress management system as implemented in an organization of the user and creating, with the progress management system, a template flow architecture that includes a private template flow having a combination of rows, operations, and rich content including instructional data. The method also includes enabling metadata of the private template flow for members or users of the organization and creating, with the progress management system, a new record of a public template flow based on the private template flow.

Abstract: A method for determining a location relating to an on-demand service on a computing device is provided. One or more processors receiving a transport request from a user. The transport request specifies at least one of a pick-up region or a drop-off region. One or more locations of interests within the at least one of the pick-up region or the drop-off region are determined. Based on the at least one of the pick-up region or the drop-off region, one or more historical locations related to the user is determined. A likely location is determined based on the determined one or more locations of interest and the one or more historical locations.

Abstract: A computer identifies a location that is associated with a task, included in a first list of tasks, based on a first information. The computer determines a first travel time from a second location that is associated with a mobile device to the first location based on a second information. The second information indicates an amount of travel time that is associated with a route from the second location to the first location. The computer generates a plurality of permutations of the tasks included in the first list of tasks. The computer selects a permutation from the plurality of permutations based on the first travel time. The computer generates a second list of tasks using the selected permutation. The organization of the tasks included in the second list of tasks reduces the travel time that is required to complete those tasks.

Abstract: Associating job responsibilities with job titles is described. A database system identifies a job level and a job department associated with a job title stored by an object. The database system identifies level-based job responsibilities associated with the job level. The database system identifies department-based job responsibilities associated with the job department. The database system identifies at least one job responsibility associated with the job title based on the level-based job responsibilities and the department-based job responsibilities. The database system stores each identified job responsibility in metadata and/or a field associated with the object. The database system outputs a message based on the object to a user device, in response to a search that specifies any identified job responsibility.

Abstract: Systems and methods generate a value system scheme defining target entities and recommendations therefore that is usable to develop a value system in a given area. The target entities may include current entities within the area, as well as additional entities needed to successfully implement the value system. The scheme may define a list of use cases, which may be prioritized to further increase viability of the value system when implemented. The scheme may be used to develop a support system based on the recommendations therein. Responsibilities for developing and using the scheme may be distributed amongst different entities to ensure lack of conflicts of interest.

Abstract: A workflow development system is described herein that obtains information about a user and, based on at least the obtained information, recommends to the user applications and services around which to build workflows, workflow templates that can be used to quickly develop workflows, and workflow steps that can be included in a workflow under development. The workflow development system may also recommend workflow steps based on information concerning a workflow under development, such as information concerning previously-included workflow steps in the workflow under development. The workflow development system may also be configured to recommend one or more output parameters of one or more workflow steps of a workflow under development as an input parameter for another workflow step.

Abstract: A method on a computing device for measuring the quality of a buried asset location procedure for quality assurance is provided. The method includes storing a plurality of best practice instruction records, receiving process and sensor data from a field technician that has performed a buried asset location procedure, calculating the sub-metrics based on the field technician's process and device data, defining a sigmoid function for each sub-metric, converting each of the sub-metrics to a normalized value using the sigmoid function corresponding to said sub-metric, storing weight values corresponding to each sub-metric; calculating a main metric P representing the quality of the field technician's buried asset location procedure and technique based on the sub-metrics, searching for matching best practice instruction records that correspond to the main metric and sub-metrics, and displaying the description of a program for best practice instruction of the matching best practice instruction records.

Abstract: An estimation method causing a computer to execute a process, the process includes: extracting at least one event that occurs with respect to a work target in a time period from first performance of specific work to second performance of the specific work performed after the first performance, out of the plurality of events which includes at least one session of the specific work performed for the work target, stored in a storage unit that associates the plurality of events with date and times in which the plurality of events occurred respectively; and estimating service provision time of the specific work at the time of the second performance, based on the at least one event.

Abstract: A printed circuit card assembly (PCBA) and a system configured for retrofitting a conventional electromagnetic locator device (ELD) with quality control and quality assurance processes is provided. The PCBA includes a printed circuit board (PCB) including electrical components, an orifice configured for fastening to the ELD, a communications bus, a power network for distributing power, a data and power connector for coupling to the ELD, a global navigation satellite system (GNSS) processor, a low-power radio frequency (RF) transmitter/receiver, and a processor for reading from the conventional ELD raw data as a result of performance of a buried asset location procedure by a field technician, determining a performance measurement that corresponds with the raw data, and wirelessly transmitting the performance measurement that was calculated.

Abstract: In one embodiment, a progress management system (e.g., collaborative network-based graphical progress management platform) is integrated with a collaborative software tool. For example, a computer implemented method for implementing this integration includes providing secure access to an account of an organization for a collaborative software tool. This provides an ability to add a web component to a hosted web page having a graphical user interface for the collaborative software tool with the web component to provide features of the collaborative graphical progress management platform.

Abstract: The invention is a telephonic app which permits the user to place and remove advertising signs using specialized geographic algorithms, which place optimal positions for the sign to be placed at. The sign is to be placed for a specific time period, once the time period is reached, it is to be removed. Geo-tracking devices are placed on the signs permitting the location for placement and removal to be performed by a contractor. Although the invention was initially designed for the Realty industry, any signage which is time sensitive could benefit from this invention.

Abstract: Provided is a system, having: a lost-and-found system, implemented with one or more processors, the lost-and-found system having a server and a data repository, the data repository storing venue records; and a plurality of mobile devices each having a lost-and-found mobile application, the lost-and-found mobile application being operative to report a found or a lost item and associate the found item or the lost item with one of the venue records.

Abstract: In some embodiments, systems and methods are provided to enable product deliveries based on an interruption condition, comprising: a delivery scheduling system; a cancellation system; and a time reserving system; wherein the delivery scheduling system comprises a delivery scheduling control circuit configured identify that a delivery interruption condition exists for a delivery day; the cancellation system is configured to identify multiple scheduled product deliveries on the delivery day that are to be halted; the time reserving system is configured to: identify a non-interrupted second delivery day, and reserve at least a portion of the second delivery day; and block the reserved portion of the second delivery day and prevent previously unscheduled deliveries from being scheduled during the reserved portion; and the delivery scheduling control circuit is configured to reschedule a delivery of a halted product delivery during the reserved portion of the second delivery day.

Abstract: In some embodiments, systems, apparatuses, and methods are described herein to provide a visual indication of a level or number of products stocked on a shelf of a shelving unit. The visual indication is provided by virtue of an accumulated weight of products on the shelf causing an indicator device to visually change according to the weight.

Abstract: Systems, apparatuses and methods are provided herein for inventory management of retail products in a retail facility. A system for inventory management comprises: a motion sensor configured to detect motion in proximity to the one or more retail products; a location transmitter for transmitting a location of a store worker; a database; an alerting device for alerting the store worker to shelf inventory levels; and a control circuit configured to determine that a store worker is in proximity to the one or more retail products, determine that a shelf inventory level of the one or more retail products is below a predetermined threshold, and cause the alerting device to alert the store worker in proximity to the one or more retail products that the shelf inventory level of the one or more retail products is below the predetermined threshold.

Abstract: Systems and methods are provided for measuring and tracking radio-frequency (RFID) tags. Inlay data, converting data, and tag scan data can be received from entities in the supply chain and stored in a database. The tag scan data, including measurement and performance data, can be stored and used for applications such as determining whether RFID tags are defective. The tag scan data, inlay data, and converting data can be analyzed to produce analytic data for reporting and failure prediction purposes. Inlay-SKU combinations of RFID tags can be validated to ensure that the correct inlays are being utilized for RFID tags intended for particular products. More accurate inventory data may be obtained and costs for re-tagging products that have defective RFID tags may be reduced. Entities in the supply chain can also be assisted to comply with various quality control, licensing, and tracking requirements related to the RFID tags.

Abstract: A system for managing medications facilitates documentation of medication returned from remote dispensing units to a central storage location such as a pharmacy vault. The system may be especially useful in facilitating the tracking of controlled substances. The system receives an indication that a medication previously removed from the remote dispensing units has been designated for return to the medication management system. The system computes an estimated return amount of the medication, and causes a queued return list to be displayed at the central storage location. The system can accommodate multiple remote dispensing devices and multiple medications.

Abstract: Systems and methods include UAVs that serve to assist carrier personnel by reducing the physical demands of the transportation and delivery process. A UAV generally includes a UAV chassis including an upper portion, a plurality of propulsion members configured to provide lift to the UAV chassis, and a parcel carrier configured for being selectively coupled to and removed from the UAV chassis. UAV support mechanisms are utilized to load and unload parcel carriers to the UAV chassis, and the UAV lands on and takes off from the UAV support mechanism to deliver parcels to a serviceable point. The UAV includes computing entities that interface with different systems and computing entities to send and receive various types of information.

Abstract: Systems and methods include UAVs that serve to assist carrier personnel by reducing the physical demands of the transportation and delivery process. A UAV generally includes a UAV chassis including an upper portion, a plurality of propulsion members configured to provide lift to the UAV chassis, and a parcel carrier configured for being selectively coupled to and removed from the UAV chassis. UAV support mechanisms are utilized to load and unload parcel carriers to the UAV chassis, and the UAV lands on and takes off from the UAV support mechanism to deliver parcels to a serviceable point. The UAV includes computing entities that interface with different systems and computing entities to send and receive various types of information.

Abstract: To provide a delivery management method that is based on resource conservation, energy conservation, ecology and the like. [Resolution Means] Host computers (10 and 20) that provide the steps of: selecting between a packaging mode using a cardboard box and a packaging mode using a return box that goes back and forth between a delivery destination and a product delivery center without the use of the cardboard box with regards to the packaging of a product when an order for a product is received from a terminal device (S103); assigning a return box and a pickup location of a delivery company in a zone that includes the delivery destination of the product when the packaging mode using the return box is selected using a selection screen (S111); stowing the product in the assigned return box at the product delivery center (S115); delivering the return box from the product delivery center (S116); and returning the return box to the product delivery center after the return box has been delivered (S119).

Abstract: A delivery vehicle containing items to be delivered to a plurality of target recipients at different delivery addresses also includes a mobile user interface configured to be disposed within and carried by the delivery vehicle, the mobile user interface presenting an interactive display having discrete information fields for identifying information corresponding to the target recipients, predetermined delivery windows corresponding to each of at least some of the target recipients, and actual delivery-time information corresponding to each of at least some of the target recipients.

Abstract: A computerized delivery service provision method, that includes providing vehicles with bays, then selecting vehicles for assignment to a resource. The selecting of a vehicle to a resource includes determining resource candidate vehicles from among the vehicles that meet a vehicle candidacy criterion, then calculating hypothetical path routes, each including a path bay and a delivery bay that are associated with the candidate vehicles, thereby obtaining hypothetical path routes for the candidate vehicles.

Abstract: Methods, systems, and apparatus for accessing profile data comprising employee profiles that correspond to different employees, each employee profile including one or more attributes of the corresponding employee that were determined from publicly available Internet data describing the corresponding employee. From a first profile of the employee profiles, a first attribute that is included in the first profile is identified. Second profiles are selected that each include the first attribute and that each correspond to a different employee from the employee that corresponds to the first profile. From the second profiles, a second attribute is identified that is included in at least some of the second profiles. A confidence score is generated for the second attribute based at least on a number of the second profiles that specify the second attribute. Based on determining that the confidence score satisfies a threshold, the second attribute is added to the first profile.