Abstract: Embodiments of the present disclosure provide a material scheduling method and a material scheduling device for semiconductor processing equipment. The method includes establishing a material list, establishing a first scheduling task list according to process recipes and the material list, and inputting the first scheduling task list into a solver to calculate and output a scheduling result with shortest time for performing all material scheduling tasks in the first scheduling task list and parsing the scheduling result to obtain a movement sequence of all materials. In the technical solutions of the material scheduling method and the material scheduling device for the semiconductor processing equipment of embodiments of the present disclosure, the overall scheduling result can be improved, and the calculation speed can be improved. Thus, the scheduling result can be obtained in real-time.

Abstract: This disclosure describes systems and techniques for using controlling access to user information using ephemeral user identifiers. In one aspect, a method includes determining, for a given domain, engagement by a user with content provided by the given domain for display by an application at a client device of the user. A determination is made, based on the engagement by the user, to extend, for the given domain, a linkage between user identifiers for a user of the application. In response to determining to extend, for the given domain, the linkage between the user identifiers for the user of the application, one or more future domain-specific ephemeral user identifiers for the user and the given domain are obtained. An attestation record that includes a current domain-specific ephemeral user identifier and the one or more is generated and sent to the given domain.

Abstract: The present disclosure provides new and innovative systems and methods for optimizing networks for the scheduling and execution of applications. An example method includes identifying a plurality of clusters network devices associated with a network. For each cluster and for each network device, a respective set of hardware constraints are determined. Furthermore, applications associated with each cluster may be determined. For each application associated with each cluster, application interactions and a set of application constraints may be determined. The application interactions may occur between applications associated with different clusters and may include a first application interaction between a first application associated with a first cluster and a second application associated with a second cluster. The method further includes generating a modification to the first application interaction, wherein the modification optimizes the network based on an optimization criteria.

Abstract: The present disclosure provides for identifying several solutions that meet an arbiter's optimization goals and allowing the potential assignees the ability to identify which candidate solution is the best from the perspective of the aggregate assignees (rather than the arbiter's perspective or one assignee's perspective). The present disclosure provides this by calculating a plurality of optimization solutions based on transit requests, providing the plurality of optimization solutions to various entities, receiving ranked selections of the plurality of optimization solutions, and assigning resources based on a highest ranked optimization solution of the plurality of optimization solutions.

Abstract: A method includes: receiving, by a computer device, a user question; extracting, by the computer device and from a knowledge base, multiple answers to the user question; detecting, by the computer device, a first relationship entity that exists in a subset of the multiple answers to the user question; determining, by the computer device, that the first relationship entity is a condition, the condition being a relationship entity that has different values in the subset of the multiple answers; generating, by the computer device, a first follow-up question that solicits a value of the condition; receiving, by the computer device, an answer to the first follow-up question; and determining, by the computer device, a number of the subset of the multiple answers that have a value of the condition that matches the answer to the first follow-up question.

Abstract: A load-balancing system can provide dynamic allocation of distributed resources to one or more communication interfaces. The load-balancing system may receive an indication that a value of a resource is less than a threshold. The value may represent a quantity of resources associated with a communication network. The load-balancing system may transmit a request for resources to a set of computing device. The load-balancing system may receive an identification of a subset of the set of computing devices that approve the request for the resources and facilitate allocation of the resources associated with the subset of the set of computing devices to the communication network by causing a connection to be established between the subset of the set of computing devices and the communication network.

Abstract: The disclosed technology provides a system and method for correlating events from a single application run in a cloud communications network using session identifiers uniquely identifying a communication session, and event identifiers uniquely identifying events in network elements of the cloud communication network. A data manager of the cloud communications network maps common fields and event-specific fields of network element event records to common fields and generic fields of a data warehouse based on the event type of the event to be recorded.

Abstract: A user-interface system is provided for a patent management system having access to at least one patent matter database and at least one reference database. The user interface system comprises a first user interface element allowing selection of data stored in the at least one patent matter database, a second user interface element allowing selection of data stored in the at least one reference database, a third user interface element for linking at least one reference stored in the at least one reference database with at least one patent in the patent matter database, a fourth user interface element allowing the selection for storage of further references into the at least one reference database, and a fifth user interface element allowing analysis of at least one of the linked references.

Abstract: Systems and methods are configured for coordinating and providing passthrough charging during bidirectional energy transfer events between two or more electrified vehicles. The ability to pass charging power from one vehicle to another allows for multiple vehicles to be concurrently charged from a single charge source. Various passthrough charging strategies may be achieved with the proposed systems, including but not limited to, a distributed charging strategy, a waterfall charging strategy, a targeted charging strategy, an automated charging strategy, a pay-for-use charging strategy, etc.

Abstract: A system and method for analyzing businesses data to make business decisions is disclosed. The method includes receiving a request from one or more users via one or more electronic devices to predict a set of insights associated with a business enterprise and generating a set of KPIs and metrics. The method further includes determining health of the business enterprise and predicting the set of insights associated with the business enterprise based on the received request, the generated set of KPIs and metrics, the determined health of the business enterprise and one or more diagnosis parameters by using a data management-based AI model. Further, the method includes outputting the determined health of the business enterprise, the one or more diagnosis parameters and the predicted set of insights on user interface screen of the one or more electronic devices associated with the one or more users.

Abstract: A method, a structure, and a computer system for conferencing monitoring. The exemplary embodiments may include extracting one or more conference targets from a conference and extracting one or more discussion topics from the conference in real-time. The exemplary embodiments may further include tracking a progress of completing the one or more conference targets based on the one or more discussion topics. The exemplary embodiments may additionally include labelling the one or more conference targets as completed or requiring follow-up based on the progress of completing the one or more conference targets, and for the one or more conference targets labelled as requiring follow-up, scheduling a follow-up conference.

Abstract: A document management system can include an artificial intelligence-based document manager that can perform one or more predictive operations based on characteristics of a user, a document, a user account, or historical document activity. For instance, the document management system can apply a machine-learning model to determine how long an expiring agreement document is likely to take to renegotiate and can prompt a user to begin the renegotiation process in advance. The document management system can detect a change to language in a particular clause type and can prompt a user to update other documents that include the clause type to include the change. The document management system can determine a type of a document being worked on and can identify one or more actions that a corresponding user may want to take using a machine-learning model trained on similar documents and similar users.

Abstract: A device, system and method for changing a topology of a geographically distributed system is provided. One or more computing devices determine resource usage of an initial topology of a geographically distributed system that includes data stored at one or more initial locations and applications, that consume the data, being implemented at the one or more of initial locations. The computing device(s) determine projected resource usage of additional topologies of the geographically distributed system, the additional topologies defining respective locations, different from the one or more initial locations, where respective portions of the data and/or the applications are located. In response to an additional topology having a respective projected resource usage that is less than the resource usage of the initial topology, the computing device(s) control a respective portion of the data and/or the applications to move to the respective locations defined by the additional topology.

Abstract: Embodiments of the invention are directed to a system, method, or computer program product for providing an intelligent quality accelerator with root mapping system. The system provides a business language model and process automation that stratifies sampling of resource exchanges from products using a machine learning loop and provides an end to end simulation for root cause analysis. In this way, the system provides two layers, a robust sampling and root cause analysis.

Abstract: The present invention identifies the optimal genetics, environment, and management practices and predicts the probability of growing a crop with the desired attributes, quantifies the attribute, scores relative performance, and identifies actions management can take to increase probability of growing plants with specific attributes. The present invention uses an improved technique of data acquisition known as intelligent sampling. Intelligent sampling functions by identifying a minimal dataset that is used to train the model disclosed herein while still achieving acceptable accuracy.

Abstract: Methods and systems for simulating fulfillment of digital orders within a retail supply chain are disclosed. One method includes receiving a selection of a first operational parameter of a supply chain model. The supply chain simulation model is a transaction-level model representative of a digital order fulfillment process within a retail supply chain network. The selection of the first operational parameter includes a default value for the first operational parameter and an experimental value for the first operational parameter that is different from the default value. Simulations of a set of predicted digital orders within the retail supply chain network, using the supply chain simulation model as modified in accordance with the first operational parameter, are performed. Scenario evaluations including predicted metrics associated with each of a cost, a capacity, and a guest experience for the digital order fulfillment process may be output and displayed on a user interface.

Abstract: A method for drilling includes receiving an initial drill plan for drilling a well, obtaining one or more offset well drilling activity logs generated based on drilling offset wells, and generating a modified drill plan for drilling the target well by adding one or more new drilling activities to the initial drill plan between first and second consecutive activities of the initial drill plan, based on a conditional probability of an occurrence of the one or more new drilling activities between the first and second consecutive activities.

Abstract: A method for executing an individualized offer for each member ID in a plurality of target segment are provided. The method (i) identifying a target segment for each member ID from the plurality of target segments using a machine learning and analytics model, (ii) selecting a base offer from a plurality of base offers for the target segment, (iii) generating a rule for the base offer associated with the target segment from a rules database, (iv) selecting a set of attributes for the target segment, (v) applying the set of static attributes and the set of mathematical attributes on the base offer, (vi) generating individualized segments of each member ID based on product attributes matching using the rule generated for the target segment, (vii) calculating differential offers for each member ID in the target segment based on to automatically executing the individualized offers for each member ID in target segment.

Abstract: Systems, methods, and other embodiments for sorting-based assignment to optimize order fulfillment with short supply. One embodiment includes identifying a set of one or more distributions within a series of days. Sorting all demands of a first priority level occurring in the series of days by ascending order of size of the demand. For each demand of the first priority level in sorted order, (a) selecting an initial distribution during which the demand is scheduled to be fulfilled from the set of distributions, and (b) generating an indication that the demand can cannot be completely fulfilled, based on the size of the demand and the amount of supply available. Automatically arranging a graphical representation of a schedule of supplies and met and unmet demands for the series of days in a graphical user interface based at least on the indications generated for each demand.

Abstract: In a case of a normal operation, a battery controller (22) assumes a normal operation mode and permits charging and discharging of a battery module (21). Upon receiving a discharge command from a vehicle body controller (17) for completely discharging the battery module (21), the battery controller (22) assumes a discharge mode to discharge the battery module (21) to reach a safe voltage level and store discharge information. Upon reading out the discharge information, the battery controller (22) assumes a discharge prohibition mode to prohibit charging and discharging of the battery module (21).

Abstract: Aspects of the disclosure relate to determining a next vehicle task for a vehicle of a fleet. Vehicle data from the vehicle, charger data about at least one charger, and demand data may be received and used to determine the next vehicle task. The vehicle may be directed to the next vehicle task. Determining a next vehicle task may further be based on predictions made using the vehicle data, the charger data, and the demand data. Heuristics may also be used in determining a next vehicle task.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for scalable matrix factorization. A method includes obtaining a Structured Query Language (SQL) query to create a matrix factorization model based on a set of training data, generating SQL sub-queries that don't include non-scalable functions, obtaining the set of training data, and generating a matrix factorization model based on the set of training data and the SQL sub-queries that don't include non-scalable functions.

Abstract: System and method for automatically calling back a customer via a predictive model determines a plurality of call-back metrics for a plurality of advisor records. The predictive model is applied to call-back data to identify customers that are likely to require a series of call-backs, and automatically generates a preferred call-back to such customers to reduce this risk. The automated call-back may follow termination of an identified customer's inbound call, or at some time after completion of a previous call interaction of the identified customer with an advisor. In the predictive model, a first compilation of call-back metrics record is representative of an overall likelihood of call-backs associated with each advisor record, and a second compilation of the plurality of call-back metrics is representative of a likelihood of call-backs for each of the plurality of products of the enterprise associated with the advisor record.

Abstract: A method for making a spatio-temporal combined optimal scheduling strategy of a mobile energy storage (MES) system includes: inputting data of a power system, a traffic system, and an MES system; setting a time interval, and initializing a time interval counter; inputting real-time fault, traffic, and MES data; and performing rolling optimization and solving, and delivering regulation decision instructions of the MES system, till a fault is removed. The core of the present disclosure is to propose a spatio-temporal combined optimal model of the MES system to describe spatio-temporal coupling statuses of an energy storage vehicle, a traffic network, and a power distribution network. The present disclosure provides guidance for an optimal scheduling decision of the MES system by properly regulating a traveling path and charging and discharging power of the MES system, thereby supporting high-reliability operation of the power distribution network.

Abstract: A computer-implemented method for managing crop harvesting activities is implemented by a harvest advisor computing device in communication with a memory. The method includes receiving an initial date of a crop within a field, receiving an initial moisture value associated with the crop and the initial date, and receiving a target harvest moisture value associated with the crop. The method also includes receiving field condition data associated with the field. The method further includes computing, by the harvest advisor, a target harvest date for the crop based at least in part on the initial date, the initial moisture value, the field condition data, and the target harvest moisture value, and displaying the target harvest date for the crop to the grower for harvest planning. The target harvest date indicates a date at which the crop will have a present moisture value approximately equal to the target harvest moisture value.

Abstract: A system for casual driver ride sharing includes an interface and processor. The interface is to receive a request for a ride from a user, wherein the request includes GPS information for the user. The processor is to determine compatibility between the typical route information and the request for the ride; determine a ranked list based at least in part on the compatibility; and provide a ride offer to a driver of the one or more casual drivers based at least in part on the ranked list.

Abstract: A device comprises: a receiver configured to receive a client certificate; a processor coupled to the receiver and configured to: authenticate the client certificate, extract, in response to the authentication, attributes from the client certificate, and create, in response to the extraction, a message comprising reformatted attributes based on the attributes, wherein the reformatted attributes can be trusted; and a transmitter coupled to the processor and configured to transmit the message. A device comprises: a processor configured to: process a client certificate comprising a certificate identifier (ID) attribute, a tenant ID attribute, and a role ID attribute, and package the client certificate in a request for a shared service; and a transmitter coupled to the processor and configured to transmit the request.

Abstract: Technologies are provided for a cloud computing platform (CCP) to request a transaction via a third-party vendor and receive a transaction response result of that transaction from another cloud computing platform having a serverless capability such that at least part of the transaction occurs at the other cloud computing platform. A transaction request having a specific transaction type (TT) is sent to an adapter, which sends another call with the transaction request to the public cloud. The specific TT corresponds to a particular serverless function (SF) of the third-party vendor. A particular template t corresponds to the specific TT. The particular template is a code statement that follows a standard code definition written in the proprietary programming language of the CCP. The other cloud computing platform invokes the particular SF to generate a transaction response that is consumable by the CCP.

Abstract: Techniques for compiling firewall rules into byte code or assembly code that can be loaded into cache memory of a processor and executed to evaluate received data packets. Rather than representing firewall rules in mid- or high-level languages stored in main memory, the techniques described herein include compiling the firewall rules into bytecode or assembly code, and distributing the code to the data plane. A packet-processing device may load the code representing the firewall rules into instruction cache of the processor. Further, the packet-processing device receives a data packet and extracts packet context data indicating attributes of the packet, and load the packet context data into a data cache of the processor. The processor can then execute the byte code or assembly code representing the firewall rules to evaluate the packet context data without having to access main memory to determine whether allow or block the data packet.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer-storage media, for dynamic user data filtering. In some implementations, a method includes determining one or more values using data representing a sequence of one or more types of interactions between a user and content; using the one or more values to determine whether to include each interaction of the one or more types of interactions in the sequence within a reduced user data set; generating the reduced user data set by removing one or more interactions from the sequence based on determining not to include the one or more interactions using the one or more values; and providing the reduced user data set to a processing server.

Abstract: A computer-implemented system and method of analyzing historical business data and business objectives for real estate solution prediction is provided. The method includes receiving a user dataset associated with a business entity by a server computing device. The server may determine a set of forecasted headcounts at different points of future time based on a historical headcount, generate a plurality of scenarios associated with the business entity based on the forecasted headcount and the commercial objective dataset, and construct option trees with respective real estate solutions corresponding to respective scenarios. A neural network system may be configured to perform stress tests against respective scenarios to evaluate respective real estate solutions and determine respective costs and actions associated with respective real estate solutions.

Abstract: In accordance with an embodiment, described herein are systems and methods for (a) determining workflow characteristics for use with an integration cloud service or other computing environment; and (b) providing a marketplace that employs a conversational interface to guide users in selecting and retrieving integration artifacts, for example workflows or other assets, to address particular needs. A collection service can receive an indication of an integration archive that defines a business workflow or integration flow, wherein a characteristics server can then extract and persist the characteristics associated with the workflow, for subsequent use in providing a determination of workflows. In accordance with an embodiment, a digital assistant can be employed to allow discovery of workflows by building a discovery criteria based on a knowledge of characteristics associated with various business workflows or integration flows, and through interactive conversations by a user with the digital assistant.

Abstract: An information processing apparatus includes a processor configured to, in a reservation process of making a reservation for use of a facility, accept input of one purpose of use among plural purposes of use provided for the facility, and in accordance with the accepted purpose of use, change at least one of a function provided in the reserved facility or information for which input is accepted in the reservation process.

Abstract: A method for identifying, quantifying, classifying, and reducing resource waste in an organization is provided. The method includes: receiving a request from a user for identifying waste in a first software development project; identifying a set of tasks to be performed within the first software development project; determining, for each task, whether a waste of a resource such as cost and/or time has occurred; using Jira to tag each task for which a waste has been identified; and generating a report that indicates a result of the determination. The resulting report may be used to pinpoint a friction point within the organization.

Abstract: A method, apparatus, system, and computer program code for forecasting a data anomaly to a supply chain. A plurality of data records is identified for a plurality of entities. The data records include import records and export records. The data fields in the data records are categorized into generic field types. The generic field types include numeric fields, categorical fields, and date fields. For each of the plurality of entities, an entity-specific model is constructed for forecasting imports and exports based on the generic field types. The entity-specific model for each of the plurality of entities is combined into a global supply chain model. Based on the global supply chain model, a data anomaly is forecast to a supply chain that is associated with a particular entity.

Abstract: An example method includes obtaining data associated with a plurality of process workflows, performing an automated workflow analysis of the data at least by (i) evaluating workflow structures to identify at least one similarity between one or more portions of the process workflows, wherein the workflow structures are modeled from the process workflow data and, (ii) responsive to evaluating the workflow structures, clustering, based on the at least one similarity, the portions of the process workflows into at least one common process group that is shared between the process workflows, identifying, based on the at least one common process group shared between the process workflows, at least one process improvement that is associated with at least one of the process workflows, and outputting, by the computing system, a recommendation associated with the at least one process improvement.

Abstract: A method including operations of displaying a scheduling interface including a first work item user interface element corresponding to a first work item, the first work item user interface element displayed to visually indicate a scheduled start date of the first work item and a scheduled end date for the first work item; receiving forecast data generated in respect of the first work item; determining, based on the forecast data, a first forecast range in respect of the first work item; and displaying a first forecast user interface element on the scheduling interface, the first forecast user interface element corresponding to the first work item and having an appearance based on the first forecast range.

Abstract: A method for agricultural land parcel valuation includes: accessing data for parcels within a prescribed region, the data comprising management practices, historical weather conditions, locations and topography, remote sense images, soil types, and crop types; assessing and ranking the management practices for each of the parcels; generating simulation inputs for the each of the parcels, where the simulation inputs comprise highest ranked management practices, the historical weather conditions, the locations and topography, the soil types, and the crop types; simulating crop growth for the each of the parcels over a prescribed number of previous years, where the simulating employs the simulation inputs provided by the generating; and employing selected outputs from the simulating to calculate agricultural metrics and a valuation corresponding to the each of the parcels, where the agricultural metrics include a productivity metric.

Abstract: A method for agricultural land parcel valuation includes: accessing data for parcels within a prescribed region, the data comprising management practices, historical weather conditions, locations and topography, remote sense images, soil types, and crop types; assessing and ranking the management practices for each of the parcels; generating simulation inputs for the each of the parcels, where the simulation inputs comprise highest ranked management practices, the historical weather conditions, the locations and topography, the soil types, and the crop types; simulating crop growth for the each of the parcels over a prescribed number of previous years, where the simulating employs the simulation inputs provided by the generating; and employing selected outputs from the simulating to calculate agricultural metrics and a valuation corresponding to the each of the parcels, where the agricultural metrics and the valuation for the each of the parcels are expressed relative to all of the parcels within the prescrib

Abstract: Apparatus and methods regarding a first processing system operable to receive a job plan developed by a second processing system, and implement the job plan, including generating commands for an equipment controller based on the job plan. The first processing system is operable to transmit, through a network, the commands to the controller for execution by the controller. The first processing system is operable to iteratively (i) monitor, through the network, current conditions of the well construction system during execution of commands by the controller; (ii) update the implementation of the job plan, including generating updated commands for the controller based on the job plan and the current well construction system conditions when the current well construction system conditions indicate a deviation from the implementation; and (iii) transmit, through the network, the updated commands to the controller for execution by the controller.

Abstract: A resource reservation system includes a first information processing device connected to communicate with a terminal device and a second information processing device connected to communicate with the first information processing device. The second information processing device transmits, to the first information processing device, information on a resource that is reserved for use. The first information processing device transmits, to the terminal device, information on a display component in response to the information on the resource received from the second information processing device. The display component is displayed on the terminal device for receiving a user operation. The first information processing device transmits, to the second information processing device, a resource usage start request in response to the user operation performed with the terminal device. The resource usage start request is for starting using the resource.

Abstract: According to various example embodiments, a logistics information managing method of an electronic apparatus may include setting an item attribute-related condition corresponding to a fulfillment center, identifying one or more attribute types of a first item received in the fulfillment center, determining, based on the item attribute-related condition, one of the one or more attribute types of the first item to be a representative attribute of the first item, and providing candidate display position information for the first item based on the representative attribute. In addition, other embodiments are also possible.

Abstract: A system and method for transmitting a notification to a network includes a computing device, the computing device configured to identify at least a user venture of a plurality of user ventures, generate at least a network as a function of the user venture and at least a flutter element, wherein generating further comprises retrieving at least a user signature of a plurality of user signatures relating to the flutter element, producing at least an input as a function of the user signature using at least a cryptographic function, and generating the at least network as a function of the input and the user venture, identify at least a logical input as a function of the network using an authentication operator, and transmit a notification as a function of the logical input to at least the network.

Abstract: There is provided an information processing system that includes a communication unit that acquires act information indicating occurrence of a first act from a first user to a second user, an accumulation unit that accumulates at least a user who has performed the act, a user influenced by the act, and a type of the act in units of acts in order of occurrence of the acts, and a control unit that performs control, when a second act determined to have influenced the first act is found from among acts that are accumulated in the accumulation unit and from which the first user has received influence in past, to record the first act and the second act in association with each other in the accumulation unit.

Abstract: An organizational graph and a microservice graph can be generated. For two neighboring microservices, a combined organizational distance can be determined based on a distance for respective workers of each microservice in the organizational graph. The combined organizational distance can be used to determine a priority for a connection between the two microservices, and chaos testing can be performed on that connection based on its priority.

Abstract: The invention is a mobile fueling system for vehicles that includes a fleet of mobile fuel stations, such as trucks. Each mobile fuel station has at least one fuel reservoir adapted for storing either liquid fuel, gaseous fuel and electric fuel. The system also includes a data processing hub and a network providing wireless data communication between vehicles, the fleet of mobile fuel stations, and the data processing hub. The data processing hub receives vehicle data from vehicles and fleet data from each mobile fuel station over the network. The vehicle data is transmitted from a customer's smart device running a customer app.

Abstract: A system could include persistent storage containing application components. A plurality of software applications could be installed on the system. The software applications could be respectively associated context records that include references to application components that provide some behavior or data for the software applications. The system could also include processors configured to perform operations. The operations could include receiving a request to generate a topology map for a software application and identifying, based on a context record for the software application, a subset of application components that provide some behavior or data for the software application. The operations could further include determining relationship types between pairs of application components and generating a topology map for the software application.

Abstract: A motor vehicle includes a charging device including at least one charging circuit for charging an electrical energy store of the motor vehicle, the charging device comprising a charging unit integrated into the charging circuit, the charging unit being detachably coupled to the motor vehicle and removable from the motor vehicle, and the removed charging unit being connectable to the motor vehicle and operable for charging the energy store.

Abstract: The present approach automatically generates an optimized building floor plate layout given a set of building design parameters including a specified unit mix. Some or all of this process can then be repeated when building design parameters are changed thereby facilitating automated and iterative building design as differing design parameters and resulting optimized building floor plate layouts are considered.

Abstract: A prediction model in a database system may be configured to predict, for a given object instance, a respective probability of acceptance for each of a plurality of recommendations. A determination may be made as to whether the prediction model is associated with sufficient training data to produce predictions at a designated accuracy rate. When it is determined that the prediction model is not associated with sufficient training data, for each of a first set of object instances a respective first message may be sent that includes a respective first one of the recommendations determined based on a static ranking rule applying one or more criteria to one or more object fields associated with the respective object instance. The prediction model may be updated to include additional training data based on a plurality of responses corresponding to a respective first one of the recommendations.