Abstract: An apparatus for determining the resilience of an entity, the apparatus including at least a processor and a memory communicatively connected to the at least a processor, the memory containing instructions configuring the at least a processor to receive entity data from a user, select at least one probability indicator as a function of the entity data, determine a life probability of the entity as a function of the at least one probability indicator comprising, receiving life training data comprising a plurality of the least one probability indicators correlated to a plurality of life probabilities, training a life machine learning model as a function of the life training data, and determining the life probability as a function of the life machine learning model, and generate a growth approach as a function of the life probability.

Abstract: The disclosed computer-implemented method may include matching transportation requests. By collecting and batching match requests over an extended period, a dynamic transportation matching system may identify more efficient matches (e.g., may match transportation requests with greater overlaps). In addition, by dynamically setting and/or extending the upper bound of time that a transportation request may remain batched with other transportation requests, the dynamic transportation matching system may account for contextual information thereby situationally improving matching efficiencies made possible with higher upper bounds while avoiding requestor dissatisfaction, lost conversions, or other inefficiencies that may result from upper bounds that are too high.

Abstract: A navigation engine for medical and/or pharmacy claims (in combination with employer human resource records or on a stand-alone basis) that quantifies healthcare outcomes and ranks healthcare providers and other healthcare items by root diagnosis based on their overall average claims per healthy day (i.e., clinical efficiency). Claims per healthy day is the adjusted claims cost per day to keep a patient healthy (or in the case of an employer, keep an employee at work), so the lower, the better. The navigation engine uses drop-down menus and/or similar techniques that require the user to select a root diagnosis on which to search, as well as other variables (e.g., provider category, geographic proximity, in-network versus in or out of network, etc.), turning an open-ended question, e.g.

Abstract: Some implementations relate to methods, systems, and computer-readable media for digital advertising. In some implementations, a computer-implemented method includes presenting virtual items at a virtual user engagement station. The virtual user engagement station may include a threshold radius for activation of a change in configuration. Upon an avatar crossing the threshold radius, the avatar may be allowed to temporarily wear or interact with the presented virtual items, display different virtual items, and/or purchase virtual items.

Abstract: In general, the subject matter described in the specification can be embodied in methods, systems and program products for an improved review system with location-verified reviews. The system verifies a user's location using one or more available sources, such as geographic location by global positioning system (GPS), cellular localization systems, or wireless local area network (WLAN). The user confirms the business or attraction at the current geographic location that the user would like to review. The system then accepts a review of the business or attraction at the current geographic location. The review is indexed for retrieval. Preferably, the system includes a delay before indexing a review, wherein the management of the business or attraction is notified of the review so that it can respond to any complaints in the review before it is made available for retrieval.

Abstract: A system and method is disclosed for automatically triggering a quality event filing in a monitored area, comprising: receiving incoming data from a plurality of connected devices in the monitored area, the incoming data including environmental data of the monitored area and user data of at least one user in the monitored area; determining, by the at least one processor, whether the incoming data is indicative of the occurrence of at least one quality event in the monitored area; and upon a determination that the incoming data is indicative of at least one quality event, generating, by the at least one processor, a quality event form with form data pre-filled, and transmitting the quality event form to a graphical user interface of a user device of at least one user in the monitored area.

Abstract: The subject disclosure encompasses solutions for matching customer information with customer reviews. A process of the disclosed technology includes steps for aggregating customer data associated with a customer, retrieving a plurality of customer reviews, wherein each of the customer reviews describe customer satisfaction with a service provided by a corresponding service provider, extracting review metadata for each of the plurality of customer reviews, and matching the customer with at least one of the customer reviews based on the customer data and the extracted review metadata. Systems and machine-readable media are also provided.

Abstract: A method of accessing media includes establishing a first network connection between a service provider device and a media device, wherein establishing the first network connection includes exchanging a set of network access parameters; establishing a second network connection between a user device and the service provider device; providing to a user device the set of network access parameters of the first network connection using the service provider device; and using the user device to control the media device, the user device using the set of network access parameters to mimic the first network connection with the media device.

Abstract: A global segmenting and analysis service of a provider network may receive documents (e.g., posts, product reviews) from different applications. The service may analyze the documents to identify target entities and sentiment. The service may generate different levels of sentiment data and store data into a segmented database. For example, the service may store within-document level sentiment, document-level sentiment, and multi-document level sentiment for a target entity. The service may also update the entity taxonomy automatically or with only a small number of sample documents. The client may query the service for the segmented sentiment data.

Abstract: A data communication method, apparatus, and device, a computer-readable storage medium, and a computer program product. The method includes: generating a communication request in response to a trigger operation for a communication control in an embedded subroutine, the communication request being used for requesting to communicate with a target user associated with the embedded subroutine, invoking a communication service plug-in according to the communication request, and communicating with the target user in the embedded subroutine through a first service function provided by the communication service plug-in, and performing, in response to a trigger operation for a second service function provided by the communication service plug-in, service interaction with the target user in the embedded subroutine through the second service function in a process of communicating with the target user.

Abstract: The systems and methods described herein relate to providing review content which is verifiable in a public blockchain network. The system receives an identity verification for a user of a review engine, then assigns a unique pseudonymous identity to the user based on the identity verification. Next, the system receives an identity verification for a provider on the review engine, and generates an authentication token unique to the provider to be displayed on a user client device associated with the user of the review engine. In response to the user capturing the authentication token via the client device, the system generates a review-in-progress to be displayed on the client device. Upon receiving a completed review from the user, the system records hashed data associated with the review into a transaction record on a public blockchain network, such that the transaction record can be publicly audited on the public blockchain network.

Abstract: Disclosed are an information processing method and a terminal device. The method comprises: acquiring first information, wherein the first information is information to be processed by a terminal device, calling an operation instruction in a calculation apparatus to calculate the first information so as to obtain second information, and outputting the second information. By means of the examples in the present disclosure, a calculation apparatus of a terminal device can be used to call an operation instruction to process first information, so as to output second information of a target desired by a user, thereby improving the information processing efficiency. The present technical solution has advantages of a fast computation speed and high efficiency.

Abstract: The acquisition unit 52B acquires sales request information S1, which is request information regarding a sale of data owned by a data owner, from an owner terminal 2 used by the data owner. The determination unit 53B determines, on a basis of the sales request information S1, whether or not there is a customer who demands the data. The notification unit 54B notifies, in a case where the determination unit 53B determines that there is the customer, the owner terminal 2 of sales response information S2 indicating information regarding the customer for the data.

Abstract: The present disclosure relates to selection of a first record object for association with second record objects based on connection profiles. Member entities of a second group entity that are associated with second record objects associated with processes may be identified. A second record object having a first object field-value pair identifying the second group entity may be identified. A first member entity having a respective connection score exceeding a threshold may be selected. A notification comprising an identification of the selected first member entity may be transmitted to an electronic account of a node profile.

Abstract: An electronic device and an operation method of an electronic device are provided.

Abstract: A method includes pre-conditioning a battery for charging to support higher rates of charging the battery.

Abstract: An artificial intelligence system for generating educational inquiry responses from biological extractions, the system comprising a computing device, the computing device designed and configured to retrieve a biological extraction pertaining to a user, receive, from a third-party device, an educational inquiry, select, based on the educational inquiry, at least a machine-learning process, and generate, using the at least a machine-learning process and the biological extraction, an inquiry response.

Abstract: Embodiments detect duplicate invoices, each invoice including a plurality of fields. Embodiments generate synthetic training data using a plurality of training invoices and generating one or more modified fields for each of the plurality of training invoices. Embodiments train a machine learning model using the synthetic training data and generate a plurality of candidate invoice pairs. Embodiments input the plurality of candidate invoice pairs to the trained machine learning model and generate, by the trained machine learning model, a prediction of whether each of the candidate invoices pairs is a duplicate invoice pair.

Abstract: A non-transitory computer-readable medium having program instructions for a method implemented in a Software as a Service (SaaS) management platform (SMP) is provided, including: receiving a plurality of expense records for a customer organization, wherein each one of the plurality of expense records identifies a user, a vendor, and an amount spent; using a first machine learning model to analyze the plurality of expense records and determine which ones of the expense records represent software purchases; using a second machine learning model to analyze the expense records that are determined to represent software purchases, and identify software titles that the software purchases are for; surfacing the expense records that represent software purchases, in association with their respective identified software titles, through a user interface of the SMP for the customer organization.

Abstract: An apparatus, system, and method, each of which: receives, from a user, condition information indicating a condition for determining a service to be provided to the user; selects, from among a plurality of forms of the user, one or more particular forms that meet the condition for determining a service, as a form to be used for applying the service; and controls a display to display a user interface, the user interface including future projection information of the user after provision of the service based on information on the particular forms.

Abstract: A system and related method score a fairness of an outcome model. The method comprises receiving a set of original transaction records (OTRs), and selecting an OTR subset of the OTRs according to a subset selection criteria in order to reduce a number of OTRs to send to outcome model. For each OTR in the subset a perturbed transaction record (PTR) is created based on the OTR that includes changing at least one attribute in the PTR from the OTR, sending the OTR and the PTR to the outcome model, receiving an OTR outcome and a PTR outcome from the outcome model, and determining a record bias score for the OTR outcome and the PTR outcome respectively that indicates bias in the respective outcome. The OTR and the PTR bias score are stored in a bias determination system (BDS) database.

Abstract: A non-transitory computer-readable medium having program instructions for a method implemented in a Software as a Service (SaaS) management platform (SMP) is provided, including: receiving a plurality of expense records for a customer organization, wherein each one of the plurality of expense records identifies a user, a vendor, and an amount spent; using a first machine learning model to analyze the plurality of expense records and determine which ones of the expense records represent software purchases; using a second machine learning model to analyze the expense records that are determined to represent software purchases, and identify software titles that the software purchases are for; surfacing the expense records that represent software purchases, in association with their respective identified software titles, through a user interface of the SMP for the customer organization.

Abstract: An electronic device, method and computer program product enable detecting user attention to dynamic content and enabling subsequent user access. The electronic device includes display device(s), a memory containing a content consumption monitoring (CCM) application, and a controller communicatively coupled to the display device(s) and the memory. The controller executes the CCM application to configure the electronic device to provide functionality of the detection of user attention including retrieving content from source(s) of content. The functionality includes monitoring presentation of, and user attention to, portion(s) of the content on the display device(s). In response to detecting that a period of time associated with the user attention to a particular portion of the content exceeds a threshold time for consuming the particular portion of the content, the functionality includes storing information associated with the particular portion of the content (e.g.

Abstract: An electronic device is installed in a given space and comprises a main body, one or more sensors, and a controller. The one or more sensors are configured to detect an object around the main body. The controller is configured to set a detection range of the one or more sensors according to an installation state of the main body in the given space.

Abstract: Methods, apparatuses, and computer program products are described for aggregating user sessions for conversational exchanges using a virtual assistant. A user device can receive conversational inputs, convert the conversational inputs into textual strings, associate, based upon semantic analysis of different portions of the textual strings, a first network and a second network, and initiate, respectively, a first and second user session with a first response module of the first network and a second response module of the second network. The portions of textual strings can be transmitted to the first and second response modules via, respectively, the first and second user sessions. Once response fragments are received from the first and second response modules, the response fragments can be combined in a semantically suitable order to form a generated response.

Abstract: Devices and techniques are generally described for generating per-topic review summarization. In some examples, a plurality of text descriptions of a first item may be received. In at least some examples, a list of categories may be determined. In some examples, at least one machine learned model may generate a first summary of the plurality of text descriptions. In some examples, the first summary may be relevant to a first category of the list of categories. In further examples, the at least one machine learned model may generate a second summary of the plurality of text descriptions. The second summary may be relevant to a second category of the list of categories. In various cases, first output data that includes the first summary and the second summary may be generated.

Abstract: Features described herein generally relate to automatically positioning insights in spatial locations of a graphical user interface page based on rules. Particularly, insights associated with transactions are received, spatial locations within a graphical user interface page that are designated for displaying insights are determined, a subset of spatial locations for positioning the insights are selected based on the insights and rules, and a graphical user interface with the insights spatially positioned at the subset of spatial locations is generated.

Abstract: Systems and method herein provide for sophisticated and efficient matching between users of a vehicle data system and data on sales that occur, where that data was obtained from distributed sources across a computer network. In particular, embodiments may obtain data from a variety of data sources across a distributed network and enhance data records by correlating the data obtained from these distributed sources. Data on sales thus obtain can be correlated with data on online users of the vehicle data system using a scoring engine to provide confidence scores to potential user-sale matches.

Abstract: This disclosure generally relates to a method and system for providing a ride for a third party rider at the request of a user ride requestor. In one embodiment, a driver device may be used to receive a ride request from one or more server computing devices for a third party rider. The driver device may receive information identifying the third party rider, including a password. Further, the driver device may transmit real time ride status information to the ride requestor directly or indirectly via the one or more server computing devices.

Abstract: An assessment query may be received and analyzed to identify relevant assessment attributes and select a set of associated assessment resources. Assessment information may be extracted from the set of associated assessment resources. The extracted information may be used to identify additional relevant assessment attributes that may be utilized to extract additional assessment information. The extracted information may be used to generate a comprehensive threat assessment report. The threat assessment report, and the threat assessment, may be updated based on user feedback.

Abstract: One embodiment provides a method, including: receiving a plurality of consumer feedback comments regarding one of a plurality of agricultural food products, wherein each of the plurality of consumer feedback comments comprises information regarding a characteristic of a given agricultural food product, wherein each of the plurality of agricultural food products corresponds to an agricultural source producing an agricultural food product category; updating a rating of each of the plurality of agricultural food products based upon consumer feedback comments corresponding to a given agricultural food product, wherein the updating comprises aggregating the received consumer feedback comments with previously supplied consumer feedback comments for agricultural food products within the agricultural food product category of a given agricultural source; ranking the plurality of agricultural food products based upon the ratings of the plurality of agricultural food products, wherein the ranking comprises ranking the p

Abstract: Techniques are described for energy scoring of a monitored property and users of the monitored property. A system provides users with information related to the efficiency of the monitored property and aggregates data over multiple monitored properties. The system computes and outputs a score for a monitored property that reflects efficiency of the property and/or the users of the property. The system may track how that score changes through time, and how it relates to neighboring properties. The score may be expressed as both a number and a percentile.

Abstract: Provided is a system and method for determining an appropriate dosage of a product. The method includes, receiving from a User a User Request for a Dosage, the User Request including at least a User Reason and a User Location; accessing a Database of Products, each Product having at least one Constituent, at least one Established Reason, a Dosage for each Established Reason, and Provider Location; querying the Database of Products with the User Request to determine at least a first subset of Products having the at least one Established Reason correlating to the User Reason; and providing the User with the first subset of Products arranged by proximity of the Provider Location to the User Location, the first subset of Products further including the Dosage for each Product in the first subset of Products. An associated system is also provided.

Abstract: A method, computer system, and computer program product for determining a desirability of a product attribute are provided. The embodiment may include extracting a plurality of product features corresponding to one or more products. The embodiment may also include analyzing a plurality of product reviews to determine a sentiment toward the extracted product features. The embodiment may further include calculating a desirability score for each product feature. The embodiment may also include, in response to receiving a user query associated with a product, identifying a product feature to which the received user query relates. The embodiment may further include generating a response to the received user query based on the calculated desirability score.

Abstract: The disclosed computer-implemented method may include matching transportation requests. By collecting and batching match requests over an extended period, a dynamic transportation matching system may identify more efficient matches (e.g., may match transportation requests with greater overlaps). In addition, by dynamically setting and/or extending the upper bound of time that a transportation request may remain batched with other transportation requests, the dynamic transportation matching system may account for contextual information thereby situationally improving matching efficiencies made possible with higher upper bounds while avoiding requestor dissatisfaction, lost conversions, or other inefficiencies that may result from upper bounds that are too high.

Abstract: A computer-implemented method for providing an objective evaluation to a customer service representative regarding his performance during an interaction with a customer may include receiving a digitized data stream corresponding to a spoken conversation between a customer and a representative; converting the data stream to a text stream; generating a representative transcript that includes the words from the text stream that are spoken by the representative; comparing the representative transcript with a plurality of positive words and a plurality of negative words; and generating a score that varies according to the occurrence of each word spoken by the representative that matches one of the positive words, and/or the occurrence of each word spoken by the representative that matches one of the negative words. Tone of voice, as well as response time, during the interaction may also be monitored and analyzed to adjust the score, or generate a separate score.

Abstract: A system can include one or more processing modules and one or more non-transitory computer-readable media storing computing instructions configured to run on the one or more processing modules and perform receiving, from an electronic device, a search query from a user of a plurality of users; processing first data; and facilitating displaying a set of items. Processing the first data can comprise determining one or more keywords by capturing the one or more keywords during a time window; creating a feature set of second data associated with at least a portion of the plurality of users; determining a set of items of the item set as being based at least in part on an item vector representation and a keyword vector representation; determining a respective purchase probability associated with each item of the set of items of the item set; ranking the set of items.

Abstract: Traditionally, strategies are carried out based on customer intention indicated from surveys, transactional data, location of the store and customer profile. They have limitations such as partial capture of customer intention, absence of transactional data, challenges in defining catchment area associated with store location and lack of customer profiles. This disclosure relates to determining unified user intention from digital environment for plurality of strategies. An information associated with user is received. The information associated with the user is processed to derive weights associated with the user. The weights are integrated and mined through a variable reduction technique to determine at least one significant latent variable from a plurality of significant latent variables and associated significant attribute values.

Abstract: The processor(s) may be configured to electronically process a computer readable set of user data records to generate media consumption data. The processor(s) may be configured to electronically process the computer readable set of user data records to generate social media interaction data. In some implementations, the processor(s) may be configured to electronically process the computer readable set of user data records to generate gaming interaction data. In yet some implementations, the processor(s) may be configured to electronically process the media consumption data, the social media interaction data and the gaming interaction data with a quantum recommendation engine/module. In some implementations, the processor(s) may be configured to generating a computer readable user profile vector associated with at least one of the user data records.

Abstract: A method for training a fusion ordering model, a search ordering method, an electronic device and a storage medium, and related to the technical field of artificial intelligence such as deep learning and the like are provided. The method includes: inputting prediction scores of a plurality of targets included in a candidate search result into a fusion ordering model, to obtain a fusion ordering result; collecting feedback information of the plurality of targets included in the fusion ordering result; and updating the fusion ordering model by utilizing the feedback information and a combined function, wherein the combined function is a function constructed by utilizing the plurality of targets. The solution of the embodiment is favorable for balancing the requirements of the plurality of targets, and the obtained updated fusion ordering model can provide a better search ordering result.

Abstract: In methods and systems for providing information to a user relating to a point-of-interest (POI), a query is received via a communication network. A processor receives information relating to at least one POI based on the received query. The retrieved information comprises a set of retrieved POI tips relating to the POI. Each of the set of retrieved POI tips is previously extracted from POI free-text reviews and respectively associated in the data storage with one or more semantic categories based on a predefined tip ontology. The processor generates a user interface interactively displaying the retrieved POI tips and the semantic categories associated with each of the POI tips. The displayed POI tips are sorted by their associated displayed semantic categories. The generated user interface is transmitted to a computing device for display.

Abstract: An information processing apparatus includes a processor configured to, in a case where a rating that is of a user for a rating target and that is based on biometric information of the user matches a rating of the user for the rating target on application software used by the user, permit the user to post the rating using the application software.

Abstract: A system for generating proportional diagrams. The system includes a user interface, a memory for storing executable program code, and one or more electronic processors. The electronic processors are functionally coupled to the memory and the user interface. The electronic processors are configured to receive a dataset from one or more servers, wherein the dataset comprises software service health data. The electronic processors are further configured to remove extraneous data from the dataset, extract relevant data points from the dataset, and determine one or more relational data strings within the extracted relevant data points. The electronic processors are also configured to determine a frequency of occurrence for each of the extracted relevant data points within the dataset, and generate the proportional relationship diagram by plotting the relevant data points, wherein the relevant data points are plotted based on the determined relational data string and the determine frequency of occurrence.

Abstract: Technologies for detecting changes in a namespace using namespace enumeration endpoint response payloads are disclosed. A namespace is enumerated at a first time by retrieving response payloads containing metadata describing each location in the namespace from a namespace enumeration endpoint. Signatures are generated based on the response payloads and stored. To determine if changes were made to the namespace between the first time and a subsequent second time, metadata is retrieved from the namespace enumeration endpoint for the namespace at the second time and signatures are generated. Signatures generated at the first time are then compared to the signatures generated at the second time. If the signatures are different, the items in the location in the namespace changed between the first time and the second time. Changes occurring in a location of the namespace can then be identified based on the metadata obtained at the first and second times.

Abstract: The methods and systems described herein provide personalized action items for content items. In one example, the methods and systems identify a plurality of content items, each of which is associated with at least one respective attribute. The system accesses profile information associated with a content consumption session. For each of the plurality of content items, the system determines at least one respective actionable item based on the at least one attribute and on the profile information. The system causes to be displayed the landing interface, which includes a plurality of simultaneously displayed content item identifiers associated with the plurality of content items, respectively, and proximate to each of the displayed content item identifiers, causing to be displayed at least one respective actionable item identifier associated with the at least one respective actionable item, respectively.

Abstract: An embodiment includes parsing conversation data to extract a message dataset and a user dataset. The embodiment classifies the message dataset into a category using machine learning processing and identifies the category as a top category based at least in part on an amount of the conversation data associated with the category. The embodiment generates impact data associated with the user dataset based on actions in the conversation data by the user. The embodiment generates role data associated with the user by applying a rule to the conversation data for the user. The embodiment generates key index data associated with the message dataset by identifying interactions with a message represented by the message dataset. The embodiment generates output data arranged according to a specified data format that is compatible with a user interface.

Abstract: The present application discloses a method and apparatus for acquiring point-of-interest (POI) state information, a device and a computer storage medium, and relates to the field of big data. An implementation includes acquiring a text containing POI information in a preset time period from the Internet; and identifying the text using a pre-trained POI-state identifying model to obtain a binary group in the text, the binary group including a POI name and the POI state information corresponding to the POI name; wherein the POI-state identifying model performs label prediction of the POI name and a POI state on a word sequence corresponding to the text, and label prediction results of the POI name and the POI state are aligned to obtain the binary group. With the present application, a human cost may be saved, and timeliness and accuracy may be improved.

Abstract: A computer-implemented method for identifying, among user electronic devices, customer electronic devices associated with genuine customers of organizations, the method being executed by a server, the method comprising: receiving, from a first user electronic device by the server, a first uniform resource locator (URL) of a first user browsing history; generating a first embedding corresponding to the first URL; comparing the first embedding with a template embedding of a plurality of template embeddings, the plurality of template embeddings having been retrieved from a genuity database; and in response to a difference between the first embedding and the template embedding being lower than an embedding difference threshold, adding the first embedding to the genuity database.

Abstract: An online marketplace system generates an online marketplace for seller-financed transactions. The system includes a plurality of listings of transaction offerings that are available. The transaction offerings are listed by a plurality of users and are from a plurality of different categories of products and services. The transaction offerings include a plurality of transaction terms, including payment and seller-financing terms. A transaction engine facilitates the negotiation of transaction terms between users and the formation of agreement between users. Transaction coins are awarded during the successful performance of a transaction according to the agreed upon transaction terms. A reputation engine generates trust profiles and trust scores for users. The trust profiles and trust scores are used by parties to evaluate the trustworthiness of the other party. A user interface engine generates a user interface that includes listings from users and trust scores of those users.

Abstract: Various embodiments of the present invention are directed to an improved group-based communication apparatus that is configured to render one or more workflow interface objects to a group-based communication apparatus in association with an operational sequence set returned by a query. The group-based communication apparatus is configured to detect a workflow trigger event associated with a workflow identifier, retrieve an operational sequence set based upon at least the workflow identifier from a group-based communication workflow repository, initiate the operational sequence set, and cause rendering of one or more workflow interface objects to the group-based communication interface. In some embodiments, the operational sequence sets are associated with a group-defined template.