Abstract: Systems and methods for generating media program keywords based on a video-hosting website are disclosed herein. Control circuitry identifies, on the video-hosting website, video content items that include at least a portion of a media program. The media program has a media program identifier and the video content items have respective titles, each including one or more terms. The control circuitry identifies a term included in more than one of the titles and identifies a group of the video content items that have the term included in their title. Based on the video-hosting website, the control circuitry determines a cumulative number of rankings of the video content items within the group and generates a relevance score for the term based on the cumulative number of rankings. The control circuitry stores the term and the relevance score in a keyword database in association with the media program identifier.

Abstract: The disclosure provides a method for training a semantic retrieval network, an electronic device and a storage medium. The method includes: obtaining a training sample including a search term and n candidate files corresponding to the search term, where n is an integer greater than 1; inputting the training sample into the ranking model, to obtain n first correlation degrees output by the ranking model, in which each first correlation degree represents a correlation between a candidate document and the search term; inputting the training sample into the semantic retrieval model, to obtain n second correlation degrees output by the semantic retrieval model, wherein each second correlation degree represents a correlation between a candidate document and the search term; and training the semantic retrieval model and the ranking model jointly based on the n first correlation degrees and the n second correlation degrees.

Abstract: Monitoring transaction activity for system requests for a set of entities authorized to request services of a system is described. Entities with high feature values for respective features of the set of activity based features are identified to produce a set of outlier entities. The outlier entities are filtered from the set of entities. A set of clusters are created from the filtered set of entities based on the set of activity based features so that each entity in the filtered set of entities is assigned to a cluster. Values for the set of activity based features are established for each cluster. A risk is assigned for each cluster based on the values of one or more of the set of activity based features. Each of the filtered set of entities are monitored based on the risk assigned to the respective clusters to which the respective entities belong.

Abstract: A system for obtaining user parameters of e-commerce users to auto complete checkout forms includes one or more processors configured to monitor user interactions of a user with a merchant website on a user device; determine an intent to purchase one or more items based of the monitoring; determine an unfilled template of a checkout form associated with the merchant website based on previously stored website information, wherein the unfilled template of the checkout form comprises a plurality of checkout form fields; determine one or more user parameters associated with the user device; apply a machine learning algorithm to predict a geolocation of the user device based on the one or more user parameters; and auto fill the at least one of the plurality of checkout form fields in the unfilled template of the checkout form based on the predicted geolocation.

Abstract: Systems and techniques that facilitate efficient synthesis of optimal multi-qubit Clifford circuits are provided. In various embodiments, a system can receive as input a number n representing a quantity of qubits. In various instances, the system can generate, via a cost-invariant reduction function, as output a library of different n-qubit canonical representatives that respectively correspond to different cost-invariant equivalence classes of n-qubit Clifford group elements. In various embodiments, a system can receive as input a first Clifford group element. In various aspects, the system can search a database of canonical representatives, wherein different canonical representatives in the database respectively correspond to different cost-invariant equivalence classes of Clifford group elements.

Abstract: A technique partitions a user's original query into plural smaller component queries, each of which has a common part and an instance-specific part. The technique distributes the component queries to plural processor instances of a processor. The plural processor instances transform the respective component queries into query-component responses by acting in parallel, independent of each other. The technique generates a final response based on the query-component responses, e.g., by assembling the component-query responses into the final response. The technique reduces latency because the processor instances work on parts of the user's original query at the same time, rather than as a single stream of consecutive tokens. The plural processor instances have access to a shared cache memory, and utilize relevant data that has been computed in response to previous queries.

Abstract: Methods and systems for managing and use of data are disclosed. To manage data, the data may be classified with respect to topics that are relevant to a user of a data storage system. The topics that are relevant to the user may be identified based on digital recordings of conversations between the user and other persons. Over time, the topics that are relevant to the user may change. The changes in relevant topics may be used to identify occurrences of different events in the user's life. These life events and data classified for corresponding topics may be used to service information request by providing context for the data and a means of discriminating more relevant from less relevant data.

Abstract: A method, computer program product, and computing system for processing query operations on run length encoding (RLE), data in a parallel processing computing system. Data for query execution is received at a parallel processing computing system, at least a portion of the data being compressed according to RLE, thereby forming RLE data; and a query operation is executed on the RLE data without performing a decompression operation on the RLE data.

Abstract: Systems and methods for tracking data lineage and record lifecycle using a distributed ledger are disclosed. In one embodiment, a method for tracking record lifecycle events may include: (1) creating, by a record lifecycle tool, a recordable artifact for a record lifecycle event in a record lifecycle, the recordable artifact comprising data for the record lifecycle event; (2) generating, by the record lifecycle tool, a hash of the data; (3) creating, by the record lifecycle tool, record lifecycle event metadata for the recordable artifact; (4) signing, by the record lifecycle tool, the record lifecycle event metadata; (5) writing the record lifecycle event metadata to supply chain metadata storage at a storage location, wherein the supply chain metadata storage may be cryptographically verifiable and immutable; and (6) writing the hash and an identifier for the storage location in the supply chain metadata store to a present state database.

Abstract: The present technology relates to an agent providing system, an agent providing method, and a recording medium that make it possible to provide a more suitable agent. There is provided an agent providing system including a control unit that, when newly providing an agent to a cyberspace in which a plurality of agents is allowed to be registered, provides an agent that is separated by a certain amount or more in terms of appearance or voice from an agent already registered in the cyberspace. The present technology can be applied to, for example, an agent providing system that provides an agent to be registered in a cyberspace.

Abstract: The disclosed devices, systems and methods relate to various devices, systems and methods related to objectively analyzing digital images of turfgrass to rate various parameters and to objectively measure overall quality. The system establishes thresholds and may execute a series of steps to determine green coverage, color, density, and uniformity. The system can scale images to determine uniformity.

Abstract: The present disclosure relates to systems, non-transitory computer-readable media, and methods for synchronizing timestamps associated with media files across a variety of capture devices. For example, the disclosed systems receive a media file captured with a user device and determine, from metadata, initial timestamp information for the media file that includes inaccurate or incomplete time zone information. The disclosed systems determine a predicted time zone for the media file by extracting GPS information from the metadata associated with the media file or identifying a peer media file and utilizing a time zone or GPS information associated with the peer media file. The disclosed systems generate a synchronized timestamp for the media file with updated timestamp information based on the predicted time zone.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for suppressing search results to personally objectionable content. One of the methods includes receiving an identifier of a resource that has image content. A first classifier classifies the image content as including objectionable content or not including objectionable content. A second classifier classifies the image content as including professionally produced content or not including professionally produced content. Whenever the image content is classified as including objectionable content and as not including professionally produced content, the resource is designated as having personally objectionable content.

Abstract: Various embodiments discussed herein are directed to improving existing technologies by causing presentation, to one or more user devices associated with one or more meeting attendees, of one or more indications of one or more content items during or before a meeting based at least in part on one or more natural language utterances associated with the meeting, a context of the meeting, and/or a context associated with one or more meeting attendees. In other words, particular embodiments automatically recommend relevant content items responsive to the real-time natural language utterances in the meeting, and/or other context.

Abstract: Various aspects of the present disclosure generally relate to wireless communication. In some aspects, a mobile station may transmit a capability indication identifying a search space sharing capability for the mobile station on a scheduling cell. The mobile station may monitor, on the scheduling cell, a first set of physical downlink control channel (PDCCH) monitoring occasions scheduling a scheduled cell and a second set of PDCCH monitoring occasions scheduling the scheduling cell. Numerous other aspects are described.

Abstract: An information analyzing apparatus 10 includes: a detection unit 11 configured to detect unknown word information expressing an unknown word contained in document information collected from web content; and a conversion unit 12 configured to, using forum expression information contained in the unknown word information detected, converting the forum expression information into formal expression information by referring to expression conversion information for converting a forum expression into a formal expression set in advance.

Abstract: An apparatus for detecting a mark by using image matching includes a damaged content obtaining unit configured to obtain damaged content generated based on original content including a plurality of cuts; a pre-processed content generating unit configured to generate pre-processed content by merging one or more images included in the damaged content or removing a partial region of one or more cuts included in the damaged content; a matchable content generating unit configured to generate matchable content, in which sizes or locations of one or more cuts included in the pre-processed content are adjusted by comparing one or more cuts included in the original image and the one or more cuts included in the pre-processed content; a matching unit configured to compare the original content with the matchable content, for each cut.

Abstract: Methods, apparatus, and computer readable media related to interaction between a user and an automated assistant during a dialog between the user and the automated assistant. Some implementations are directed to adapting a graphical and/or audible presentation of search results provided by the automated assistant for presentation to the user. The adaptation may be in response to attribute(s), of one or more of the search results, referenced in spoken and/or typed textual input provided by the user during the dialog. Some of those implementations may enable a user to provide textual input to navigate the search results within the dialog and within resource and/or interface constraints associated with the dialog. Some of those implementations may additionally and/or alternatively enable adapting, based on textual input provided by a user to the automated assistant, when and/or whether search results having certain attributes are provided to the user by the automated assistant.

Abstract: In some implementations, a redundancy system may receive, from a log storage, a plurality of log files that were generated by a plurality of monitoring programs. The redundancy system may apply a machine learning model to the plurality of log files to detect one or more redundancies. The redundancy system may determine at least one monitoring program, in the plurality of monitoring programs, that is a candidate for removal based on the one or more redundancies. The redundancy system may transmit, to a ticket system, a command to open a ticket associated with the at least one monitoring program.

Abstract: Methods, systems, apparatuses, and computer program products for building records from false positive matches are disclosed. A master record is identified that incorrectly groups a plurality of source records in a database, where the plurality of source records contain demographic information for multiple people. In the database, a first record, a second record, and exclusion data are created, where the first and second records contain demographic information for each person and the exclusion data indicates that the first record should not be linked to the second record. A matching criteria is applied to each record of a collection of source records that includes the first and second records and the plurality of source records to identify a set of connections. The first record and the second record are built based at least on the set of connections and stored in the database.

Abstract: A method for displaying a virtual space at various point-in-times is provided, which is performed by one or more processors and includes displaying a user's avatar on a current first virtual space, in response to receiving a first user input selecting a first graphical object associated with a movement between point-in-times, displaying a user interface including a plurality of point-in-time information associated with the first virtual space, receiving, from a user, a selection of a first point-in-time from among the plurality of point-in-time information, and playing back a first event associated with the first virtual space recorded at the first point-in-time.

Abstract: Disclosed in some examples, are methods, systems, devices, and machine readable mediums that store instructions for programmable atomic transactions in a memory of the programmable atomic unit prior to execution of the programmable atomic transaction. The memory in some examples may be an instruction RAM. The memory in some examples may be partitioned into partitions of a fixed size that stores a same number of instructions. Each programmable atomic transaction may use one or more contiguously located instruction partitions. By loading the instructions ahead of time, the instructions are ready for execution when the transaction is requested.

Abstract: Provided is a method performed by at least one processor for sharing a page in a document. The method includes: receiving a request for sharing a page of a document and automatically performing a keyword check for the requested page; generating a token for a keyword, extracted from the requested page as a result of the keyword check, and performing a locking process for the requested page using the token; and determining a target page, among at least one requested page for sharing, and designating a sharing target with which the target page is to be shared, wherein the keyword is any one of one or more words registered in advance.

Abstract: System and methods include obtaining data, over the Internet, associated with a plurality of Wi-Fi networks each Wi-Fi network having one or more access points and each Wi-Fi network being associated with a customer of one or more service providers; aggregating and filtering the data; analyzing the aggregated and filtered data for a condition of each of the plurality of Wi-Fi networks; determining one or more resolutions for the condition of a Wi-Fi network of the plurality of Wi-Fi networks; and initiating a customer outreach workflow to provide the one or more resolutions to the customer associated with the Wi-Fi network.

Abstract: Systems and techniques are described herein for processing frames. The systems and techniques can be implemented by various types of systems, such as by an extended reality (XR) system or device. In some cases, a process can include obtaining feature information associated with a feature in a current frame, wherein the feature information is based on one or more previous frames; determining an estimated pose of the apparatus associated with the current frame; obtaining a distance associated with the feature in the current frame; and determining an estimated scale of the feature in the current frame based on the feature information associated with the feature, the estimated pose, and the distance associated with the feature.

Abstract: System and methods include obtaining Wi-Fi network data, over the Internet, associated with a plurality of Wi-Fi networks each Wi-Fi network having one or more access points and each Wi-Fi network being associated with a customer of one or more service providers and obtaining customer data for each customer associated with the plurality of Wi-Fi networks, the customer data including call-ins made by customers; aggregating and filtering the data; analyzing the aggregated and filtered data including correlating the call-ins made by customers to the Wi-Fi network data; predicting customer call-ins based on correlations made between the call-ins made by customers and the Wi-Fi network data; and initiating a customer outreach workflow prior to a predicted customer call-in.

Abstract: Systems, methods, and computer program products for identifying a candidate product in an electronic marketplace based on a visual comparison between candidate product image visual text content and input query image visual text content. Unlike conventional optical character recognition (OCR) based systems, embodiments automatically localize and isolate portions of a candidate product image and an input query image that each contain visual text content, and calculate a visual similarity measure between the respective portions. A trained neural network may be re-trained to more effectively find visual text content by using the localized and isolated visual text content portions as additional ground truths. The visual similarity measure serves as a visual search result score for the candidate product. Any number of images of any number of candidate products may be compared to an input query image to enable text-in-image based product searching without resorting to conventional OCR techniques.

Abstract: Methods, apparatus, and computer readable media related to interaction between a user and an automated assistant during a dialog between the user and the automated assistant. Some implementations are directed to adapting a graphical and/or audible presentation of search results provided by the automated assistant for presentation to the user. The adaptation may be in response to attribute(s), of one or more of the search results, referenced in spoken and/or typed textual input provided by the user during the dialog. Some of those implementations may enable a user to provide textual input to navigate the search results within the dialog and within resource and/or interface constraints associated with the dialog. Some of those implementations may additionally and/or alternatively enable adapting, based on textual input provided by a user to the automated assistant, when and/or whether search results having certain attributes are provided to the user by the automated assistant.

Abstract: Methods and systems for improved preparing of received data using differential diagnosis for analysis by machine learning models. In one embodiment, a method is provided that includes receiving an identifier of an event. A plurality of inquiries may be sequentially processed, and subsequent inquiries for processing may be selected based on the responses to earlier inquiries. A tensor may be used to store indications of which inquiries were processed and the responses received to the inquiries. A machine learning model may use the tensor to determine a diagnosis and whether the event is an emergency event requiring intervention. If the event is an emergency event, an intervention may be generated for the emergency event, which may include a computer system taking automatic action to respond to the emergency event.

Abstract: A recipe updating method of a plasma processing apparatus includes: performing a plasma processing on a substrate mounted on a stage using a first recipe including an application timing of a radio-frequency power for plasma generation; measuring a reference timing at which a temperature of the stage drops to a minimum value and a first maximum value of the temperature of the stage in association with the first recipe; performing the plasma processing on the substrate using a second recipe obtained by changing the application timing of the first recipe to the reference timing; measuring a second maximum value of the temperature of the stage in association with the second recipe; and updating the first recipe to the second recipe when the second maximum value is smaller than the first maximum value.

Abstract: A database system is described that includes components for storing time-series data and executing custom, user-defined computational expressions in substantially real-time such that the results can be provided to a user device for display in an interactive user interface. For example, the database system may process stored time-series data in response to requests from a user device. The request may include a start time, an end time, a period, and/or a computational expression. The database system may retrieve the time-series data identified by the computational expression and, for each period, perform the arithmetic operation(s) identified by the computational expression on data values corresponding to times within the start time and the end time. Once all new data values have been generated, the database system may transmit the new data values to the user device for display in the interactive user interface.

Abstract: A building system includes one or more storage devices having instructions stored thereon that, when executed by one or more processors, cause the one or more processors to receive an unstructured user question from a user device of a user and query a graph database based on the unstructured user question to extract context associated with the unstructured user question from contextual information of a building stored by the graph database, wherein the graph database stores the contextual information of the building through nodes and edges between the nodes, wherein the nodes represent equipment, spaces, people, and events associated building and the edges represent relationships between the equipment, spaces, people, and events. The instructions further cause the one or more processors to retrieve data from one or more data sources based on the context and compose a presentation based on the retrieved data.

Abstract: In a vulnerability inspection device, an acquisition unit acquires system messages that are displayed in response to input for multiple types of service registration statuses of a user ID that is input to a login-related screen that requires input of the user ID in an account-based online service that issues the user ID. A determination unit uses the system messages that were acquired for the types to determine whether or not the login-related screen has a vulnerability regarding the leakage of user registration status.

Abstract: An apparatus has a data storage structure to store data items tagged by respective tag values and stores, in association with each data item, a respective tag group identifier to identify other data items having a same tag value within a collection of data items. The apparatus also has tag match circuitry to identify one or more hitting data items. Prioritisation circuitry is provided to select candidate data items which, relative to any other data items in the particular collection of data items having the same tag group identifier as the selected candidate data item is favoured according to an ordering of the data items. The prioritisation circuitry selects the one or more candidate data items before the identification of the hitting data items is available from the tag match circuitry. Data item selection circuitry selects a candidate data item for which the tag match circuitry detected a match.

Abstract: Aspects of the present disclosure provide techniques for predicting content relevant to questions based on reference links. Embodiments include receiving a set of question and answer (Q/A) pairs and identifying a set of references in the set of Q/A pairs that link pairs of Q/A pairs of the set of Q/A pairs. Embodiments include identifying popular Q/A pairs of the set of Q/A pairs based on the set of references. The popular Q/A pairs may be referenced by a subset of the set of Q/A pairs and each respective Q/A pair of the subset of the set of Q/A pairs may comprise a respective question of a plurality of questions. Embodiments include training a model based on the plurality of questions, the popular Q/A pairs, and the set of references, to predict Q/A pairs of the set of Q/A pairs that are relevant to a given question.

Abstract: Various aspects of the subject technology relate to systems, methods, and machine-readable media for granting access to cases for users through a common data model that brings together data from multiple e-discovery applications. The method includes associating a user with a case number. The method includes assigning a case name to each case number. The method includes associating contact information of the user with the case number. The method includes receiving a request to access the case number. The method includes, in response to receiving the request, issuing an access link to the user. The method includes authenticating the user based on at least the access link. The method includes granting access to the case number based on the contact information. The method includes generating data insights regarding the case number. The method includes causing display of the data insights through a user interface.

Abstract: Examples of the present disclosure describe systems and methods for cross-provider topic conflation. In aspects, a request relating to one or more topics may be received by a content surfacing platform. One or more data sources of multiple content providers may be searched for documents relating to the topic(s). Document content (e.g., document metadata and sentences, phrases, and other word content within the document) relating to the topic(s) may be extracted from the documents of the various content providers. The document content may be classified and/or separated into subparts. The subparts may be clustered and/or conflated by topic, thereby removing duplicated data while preserving the unique information in each subpart. The conflated topics may be stored in a single knowledge base, such as an enterprise knowledge graph, and/or presented in response to the request.

Abstract: The present disclosure relates to a method of matching a text with a design performed by an apparatus for matching a text with a design. According to an embodiment of the present disclosure, the method may comprise acquiring an image from information including images and texts; learning features of the acquired image; extracting texts from the information and performing learning about a pair of an extracted text and the acquired image; extracting a trend word extracted at least a predetermined reference number of times among the extracted texts; performing learning about a pair of the trend word and the acquired image; and identifying a design feature matched with the trend word among learned features of the image.

Abstract: A data processing system for identifying one or more portions of executable logic that are executed in processing one or more data items that are each associated with a given value of a key by accessing the specification that represents the executable logic; and generating a log record for the given value of the key, the generating including: for each of the one or more of the data items associated with the given value of the key: identifying a given state of the specification that is maintained for the given value of the key associated with that data item; processing that data item including executing, on that data item, executable logic that are specified in the identified given state of the specification; and generating the log record specifying the execution of those one or more portions of the executable logic for that given value of the key.

Abstract: System and method of generating an executable action item in response to natural language dialogue are disclosed herein. A computing system receives a dialogue message from a remote client device of a customer associated with an organization, the dialogue message comprising an utterance indicative of an implied goal. A natural language processor of the computing system parses the dialogue message to identify one or more components contained in the utterance. The planning module of the computing system identifies the implied goal. The computing system generates a plan within a defined solution space. The computing system generates a verification message to the user to confirm the plan. The computing system transmits the verification message to the remote client device of the customer. The computing system updates an event queue with instructions to execute the action item according to the generated plan upon receiving a confirmation message from the remote client device.

Abstract: A Frequency Modulated Continuous Wave, FMCW, radar system is provided. The radar system comprises one or more antennas configured to transmit and receive FMCW radar wave signals for scanning for objects within a full circular detection coverage range, and processing circuitry configured to provide scan data based on transmitted and received FMCW radar signals and azimuth position of the antenna(s).

Abstract: A method for packaging media for optimizing media distribution in a media streaming network may be provided. The method may include: receiving, by a media streaming server, an immersive media stream comprising one or more immersive media assets associated with one or more scenes; identifying a subset of the one or more immersive media assets that comprise essential elements of a respective scene; ordering the one or more immersive media assets in a sequence, based on the identified subset of the one or more immersive media assets that comprise essential elements of a respective scene in the one or more scenes; and streaming the one or more immersive media assets in the ordered sequence from the media streaming server to a client device.

Abstract: A building system including one or more memory devices configured to store instructions that cause one or more processors to store a graph data structure in a data storage device including a plurality of nodes representing a plurality of entities and a plurality of edges between the plurality of nodes representing a plurality of relationships between the plurality of entities, wherein the plurality of entities include a first entity representing one of a person, place, or piece of equipment of the building, wherein a second entity of the plurality of entities represents a software component, wherein the software component performs operations for the person, place, or piece of equipment of the building indicated by one or more edges of the plurality of edges relating the first entity to the second entity and cause the software component to execute and perform the operations for the person, place, or piece of equipment.

Abstract: A method and a system are disclosed for generating a global identifier for linking or unifying a plurality of de-identified customer data received from multiple source environments. The plurality of customer data is de-identified based on a master salt and a master token is generated. The master token is encrypted using a source-encryption key to generate a source token. The source token is also encrypted using a target-encryption key to generate a transfer token. At a central environment or a central storage unit, the transfer token is decrypted and the source token is obtained. Thereafter, source token is decrypted to obtain the master token. At the central storage unit, the master token is hashed with a target salt to generate the global identifier which is subsequently used to unify the plurality of de-identified customer data.

Abstract: A computerized method for automated sustainability data source ingestion and processing includes searching multiple data sources according to specified data ingestion criteria to obtain sustainability data associated with at least one target entity, and supplying the target entity and the obtained sustainability data to a machine learning model to generate a sustainability data source valuation output for each of the multiple data sources. The method includes determining, for each of multiple categories and subcategories, a valuation score based at least in part on one or more of the sustainability data source valuation outputs, and an entity sustainability score based at least in part on one or more of the valuation scores. The method includes determining an overall entity sustainability score associated with the at least one target entity according to the determined entity sustainability scores for the multiple categories and subcategories.

Abstract: The disclosure relates to a collecting method implemented by a first device including a first volatile memory, this first device interacting with a second device including a second non-volatile memory, the memories comprising objects each constituting an instance of an object-oriented language class. The method comprises an analysis of the objects by running through an object tree from the persistent roots; and on detecting that the analysis is finished, a collecting from the first and second memories for deleting each object that has not been analyzed during said analysis. This analysis in particular comprises, for each object: the identification of each reference pointing to another object; and the definition of a first or second type for each identified reference, this analysis continuing only along the references of the first type.

Abstract: Methods and apparatuses are described for automatic intelligent query suggestion for information retrieval applications. A server a) determines candidate intents associated with user input text received from a remote device, including applying a trained intent classification model to the user input text to predict candidate intents. The server b) calculates a likelihood value for each of the candidate intents. The server c) compiles a list of suggested queries based upon the candidate intents and associated likelihood values. The server d) identifies a subset of the list of suggested queries for display on the remote device. Upon detecting an update to the user input text at the remote device, the server repeats steps a) to d) using the updated user input text, or upon detecting a selection of one of the suggested queries at the remote device, the server retrieves content responsive to the selected query.

Abstract: Methods and apparatus to determine media viewing information for hybrid content delivery are disclosed. An example apparatus includes at least one memory, machine readable instructions, and processor circuitry to at least one of instantiate or execute the machine readable instructions to monitor network traffic associated with at least one device during a media session, determine viewing information associated with the media session based on a consumption data message in the network traffic, the consumption data message transmitted by the at least one device, determine a program identifier of primary content received by the at least one device, the program identifier indicative of a program presented as the primary content by the at least one device, associate a panelist identifier with the viewing information and the program identifier of the primary content, and generate a media session report based on the panelist identifier, the viewing information, and the program identifier.

Abstract: One aspect of the disclosure relates to providing players pricing of in-game virtual items associated with their experience and their progress in the game. For example, the first player and the second player may have similar triggers, similar in-game events, and actually have different prices and currencies inside each story depending on each player's progress in the game, thus creating an individualized experience that may alter from player to player.

Abstract: A system and method for distributing revenue among users based on quantified emotional data and qualified emotional data of the corresponding users. The method includes the step of collecting biorhythm data of the user through a wearable user device. The method includes the step of receiving the biorhythm data through a computing unit. The method includes the step of analyzing the received biorhythm data and computing an emotional score of each user through an algorithmic module. The method includes the step of monitoring the emotional score of each user through a tracking module. The method includes the step of sending a referral to potential users to perform actions pertaining to a platform and product through a referral module. The method includes the step of computing individual total sub score for each user using the quantified emotional data and the qualified emotional data for an interval of time through a first computation module.