Abstract: Methods and apparatus for predicting an association between input data in a first modality and data in a second modality using a statistical model trained to represent interactions between data having a plurality of modalities including the first modality and the second modality, the statistical model comprising a plurality of encoders and decoders, each of which is trained to process data for one of the plurality of modalities, and a joint-modality representation coupling the plurality of encoders and decoders. The method comprises selecting, based on the first modality and the second modality, an encoder/decoder pair or a pair of encoders, from among the plurality of encoders and decoders, and processing the input data with the joint-modality representation and the selected encoder/decoder pair or pair of encoders to predict the association between the input data and the data in the second modality.

Abstract: A computer-based system and method for classifying users of a database including obtaining an activity rate time series describing activity level of a database user versus time, extracting features from the activity rate time series, the features including a measure of repetition in the activity level, mean activity load and a percentage of the time in which the user is active, and determining a type of the database user based on the extracted at least one feature. The measure of repetition in the user activity is calculated by performing a Fourier transform on the activity rate time series to produce a transformed series; detecting spikes in the transformed series; and measuring a percentage of information in the transformed series which is included in the spikes.

Abstract: Unauthorized use of user credentials in a network is detected. Data indicative of text strings being used to access resources in the network is accessed. Regex models are determined for the text strings. Troupings of the regex models are determined based on an optimization of a cumulative weighted function. A regex model having a cumulative weighted function that exceeds a predetermined threshold is identified. An alert is generated when the cumulative weighted function for the identified regex model exceeds the predetermined threshold.

Abstract: Systems and methods are provided for determining a query involving at least one dataset comprising a plurality of records, the query being submitted by a first user operating a computing device. An archetype policy that governs access to records of the at least one dataset can be determined, wherein the archetype policy includes at least one logical formula to be evaluated when determining whether a requesting user is permitted to access a given record, and wherein the at least one logical formula is satisfied based at least in part on a state associated with the requesting user and at least one first variable evaluated by the at least one logical formula. At least one record that the first user is permitted to access can be determined based at least in part on satisfaction of the at least one logical formula associated with the archetype policy.

Abstract: Systems and methods are disclosed herein for processing a natural language query. A receiver circuitry receives the natural language query from a user. A natural language interpreter circuitry parses the natural language query to convert the natural language query into a plurality of categories and a plurality of variables, each variable in the plurality of variables corresponding to one category in the plurality of categories. A user interface displays to the user the plurality of categories' and the plurality of variables, and allows the user to modify at least one variable in the plurality of variables by providing a natural language utterance.

Abstract: A method of ranking recommendations comprising receiving a recommendation to improve space utilization of a space, retrieving context data associated with the space, the context data including data describing previous user interest in other recommendations related to the recommendation and at least one of: data describing a current space utilization for the space, data describing a number of recommendations that are associated with the space, data describing environmental preferences of first individuals associated with the space or a building including the space, or data describing an organizational grouping of second individuals associated with the space or the building, calculating a score for the recommendation based on the previous user interest and the at least one of: the current space utilization, the number of recommendations, the environmental preferences, or the organizational grouping, and performing an action based on the score using at least one of the score or the recommendation.

Abstract: Systems and methods are disclosed herein for identifying a category of a search term and providing search results subject to the identified category. These systems and methods may be performed by a media guidance application. The media guidance application may receive a search term that may correspond to different categories of items, and the media guidance application may identify a category that the search term is most likely related to using a hierarchical structure. The media guidance application may limit the search to the identified category of items.

Abstract: Disclosed are systems and methods for improving interactions with and between computers in a content system supported by or configured with personal computing devices, servers and/or platforms. The systems interact to identify and retrieve data across platforms, which data can be used to improve the quality of data used in processing interactions between or among processors in such systems. The disclosed systems and methods determine a breaking news story and track breaking developments in such story. The present disclosure can construct a breaking news storyline from the developments in the detected breaking news story, whereby a user can view the storyline as individual breaking news messages or as a complete timeline of events displayed on a provided page.

Abstract: Enhanced filter accuracy is disclosed with respect to determining whether a data element is present in a data store. The filter can correspond to a probabilistic filter with multiple levels. At each level after a representation of an original data element is captured in a data structure, a predetermined modification can be applied to the data element and a representation of the resulting modified data element can be captured in the data structure. In query operation, a check be performed for the presence or absence of an input data element and a number of modifications of the input data element, which results in a reduced false positive probability and improved accuracy. A multidimensional data structure can also be employed in conjunction with multiple levels to further improve accuracy.

Abstract: A system for automatic fleet partitioning includes client devices and a device management server having tag definition and tag assignment repositories. The server receives and stores, in the tag definition repository, definitions with tag assignment criteria; and for each client device: obtains a client identifier and attribute set; for each tag assignment criterion satisfied by the attribute set, associates a corresponding tag name with the client identifier in the tag assignment repository; and for each tag assignment criterion not satisfied by the attribute set, disassociates the corresponding tag name with the client device identifier. The server receives a command to transmit control data to a subset of the client devices associated with a selected tag name; retrieves, from the tag assignment repository, the client identifiers associated with the selected tag name; and transmits the control data to the subset of the client devices.

Abstract: Systems, methods, and computer-readable storage media for determining compliance of a container with composite signatures are disclosed. The disclosed techniques utilize a first device (e.g., an edge device) to determine characteristics of a container, such as dimensions, weight, indicia, or a combination thereof. Information indicative of the characteristics is sent to a computing device that determines a composite signature (or parameters) of the container based on the information. The computing device compares the composite signature (or parameters) to one or more stored composite signatures to determine compliance of the composite signature (e.g., of the container) with the one or more stored composite signatures (or stored parameters). The computing device also controls a process of managing a release of the container based on the compliance or non-compliance.

Abstract: Methods and apparatus related to associating a task with a user based on the user selecting a task suggestion that is provided to the user in response to a user query. In some implementations, the task may be identified based on similarities between the words and/or phrases of the user query and a task suggestion that is associated with a task. In some implementations, the task may be identified based on user data associated with the user. In some implementations, the task may be associated with additional information related to completing the task.

Abstract: Systems and processes for operating an intelligent automated assistant are provided. In one example, a user request for a media item is received. Based on the user request, at least one media item and a description of the at least one media item are identified. A confidence level is obtained that an identified media item of the at least one media item corresponds to the requested media item. In accordance with a determination that the confidence level exceeds a first confidence threshold, a length of the identified description is reduced to obtain a modified description and the modified description of the identified media item is provided in a first spoken response.

Abstract: The present disclosure relates to systems and methods for identifying one or more target roads. The systems may perform the methods to obtain a heat map associated with a plurality of driving track points along a plurality of roads in a target region, wherein the plurality of roads includes one or more target roads and one or more reference roads; obtain a road network map associated with the one or more reference roads in the target region; produce an intermediate heat map by: eliminating pixels in the heat map corresponding to the one or more reference roads in the road network map, eliminating background pixels corresponding to background of the heat map, and thinning the heat map; and determine start coordinate information and end coordinate information associated with the one or more target roads based on the intermediate heat map according to a linear transformation.

Abstract: Provided is a display device including: a display; a communicator; a memory storing one or more instructions; and a processor configured to execute the one or more instructions stored in the memory, to perform control to extract a video fingerprint from current content being displayed on the display, transmit the extracted video fingerprint to a server, receive, from the server, a first response comprising a matching result of the extracted video fingerprint and video fingerprints stored in the server, extract an audio fingerprint from the current content being displayed on the display in case that the extracted video fingerprint matches a plurality of video fingerprints stored in the server according to the first response, transmit the extracted audio fingerprint to the server, and receive, from the server, a second response comprising a matching result of the extracted audio fingerprint and audio fingerprints stored in the server.

Abstract: A system, method and product for client-side automated application programming interface (API) mapping of a computerized system. The method comprises creating a mapping by: detecting, by a client-side agent that is operated on a client device executing a frontend of the computerized system, an invocation by a first application of the API function of a second application, wherein the API function is defined by a function prototype comprising a domain of potential values for an input or output parameter of the API function; and based on information gathered by the client-side agent, automatically determining a logical schema of the API function, wherein the logical schema defining a logical function prototype comprising a sub-domain of the domain of potential values, wherein the sub-domain restricting at least one value of the domain.

Abstract: Methods, systems, and apparatus for classifying a new example using a comparison set of comparison examples. One method includes maintaining a comparison set, the comparison set including comparison examples and a respective label vector for each of the comparison examples, each label vector including a respective score for each label in a predetermined set of labels; receiving a new example; determining a respective attention weight for each comparison example by applying a neural network attention mechanism to the new example and to the comparison examples; and generating a respective label score for each label in the predetermined set of labels from, for each of the comparison examples, the respective attention weight for the comparison example and the respective label vector for the comparison example, in which the respective label score for each of the labels represents a likelihood that the label is a correct label for the new example.

Abstract: Systems and methods for rapid importation of data including temporally tracked object recognition. One of the methods includes receiving datasets each indicating information associated with one or more objects. Information indicating unique identifying information associated with the objects is accessed, and an updated dataset joining information from datasets that is associated with each object is generated. The updated dataset is maintained to include most recent versions of each of the datasets, with one or more datasets being replaced with more recent versions, and with one or more other datasets being propagated to be the most recent versions. Queries received from clients are responded to, with the queries indicating requests for specific information related to objects.

Abstract: An AI platform may receive a request for information on text. The text is processed through a text mining pipeline for dynamic attribute extraction. An engine determines entities in the text and utilizes the entities to determine a relationship pattern. The engine identifies a trigger by matching one of the entities with a predefined entity in a utility authority file, locates an entity in close proximity to the trigger, identifies a value or regular expression in close proximity to the trigger in the text, and creates a triplet containing the entity, the trigger, and the value or regular expression, the triplet representing the relationship pattern. The engine applies an action to the triplet, wherein the action comprises obtaining the value from the text or translating the regular expression. The engine attaches the value or a result from the translating to the entity as a dynamic attribute of the entity.

Abstract: Disclosed herein are embodiments of systems, methods, and products comprises a server, which provides trigger-based personalized sales outreach based on a user's request. The request comprises a list of target companies/people. The server scans a variety of sources by web crawling the sources' web documents and finds news items relevant to the target companies/people. The server determines an importance score for each news item that measures the probability of a sales representative being interested in the news item. The server applies a set of filters comprising a network of neural networks to filter out false positives. The analytic server determines a relevancy score for each news item. The server generates a GUI to display the news items satisfying certain thresholds. Based on the user's selection on the news items, the server uses the news items as triggers of outreach and generates an electronic message template prepopulated with the news items.

Abstract: Systems and methods are disclosed for receiving, at a first data intake and query system, a query that includes an indication to process data managed by another data intake and query system. The first data intake and query system identifies a second data intake and query system that manages the data to be processed and generates a subquery for execution by the second data intake and query system, generates instructions for one or more worker nodes to receive and process results of the subquery from the second data intake and query system, and instructs the worker nodes to provide results of the processing to the first data intake and query system.

Abstract: In some embodiments, an apparatus includes a memory associated with an instance of a distributed database at a compute device configured to be included within a first group of compute devices. The apparatus is configured to determine an order for each event from the set of events based on different configurations of an event consensus protocol. The different configurations are logically related to different configurations of compute devices that implement the distributed database. The apparatus is configured to determine a current state of the instance of the distributed database based on the order determined for each event from the set of events and generate a signed state associated with the instance of the distributed database based on a hash value associated with the current state. The apparatus sends a signal to post into the instance of the distributed database an event that includes a transaction indicative of the signed state.

Abstract: Disclosed herein are system, method, and computer program product embodiments for analyzing screen data to provide collaboration and consumption opportunities. An embodiment operates by receiving screen data of a visible portion of a display of a computer and metadata associated with the screen data. The screen data and the metadata are associated with a user. The embodiment extracts text from the screen data using optical character recognition. The embodiment identifies a topic associated with the screen data based on the extracted text. The embodiment stores a mapping between the topic and the user and the metadata in a database. The embodiment then provides information about the user based on the mapping.

Abstract: Systems, devices, apparatuses, components, methods, and techniques for identifying and playing media content are provided. An example media-playback device for identifying and playing media content for a user traveling in a vehicle includes an audio identification engine and a media playback engine. Audio content is recorded and identified by comparison to media content databases. The audio content is identified and immediately played on the same device. Additional media content is selected for playback based on user listening preferences.

Abstract: Systems and methods are disclosed for executing a query that includes an indication to process data managed by an external data system. The system identifies the external data system that manages the data to be processed and generates a subquery for the external data system. The system determines a data ingest estimate and uses the data ingest estimate to generate instructions for one or more worker nodes to receive and process results of the subquery from the external data system.

Abstract: A computing system includes an anonymizer server. The anonymizer server is communicatively coupled to a data repository configured to store a personal identification information (PII) data. The anonymizer server is configured to perform operations including receiving a repository configuration request comprising an anonymized data schema, and creating an anonymized data repository clone based on the anonymized data schema. The anonymizer server is also configured to perform operations including anonymizing the PII data to create an anonymized data by applying a one-way data masking, a one-way data morphing, or a combination thereof, and storing the anonymized data in the anonymized data repository clone.

Abstract: The application relates to a method for creating a user-augmented index, including: receiving information identifying data, a first user-created category and a first user-designated value from the first user. The data, the first user-created category, and the first user-designated value are associated together in a data entry in the user-augmented index. A second user-created category and a second user-designated value are received from the second user. The second user-created category and the second user-designated value are also associated with the data entry in the user-augmented index. The application further relates to ranking one or more related data entries in response to a query of a user-augmented index.

Abstract: A system for detecting service issues within multi-sourced service data. The system includes a memory and one or more electronic processors coupled to the memory. The electronic processors are configured to receive one or more data sets in near real time, and to enrich the dataset with one or more metadata parameters, pre-clean the data within the dataset, and determine one or more data points within the dataset that are semantically similar to each other. The electronic processors are also configured to generate a similarity score for each of the semantically similar data points, and determine one or more significant clusters within the dataset within a predefined lookback window. The electronic processors are also configured to analyze the determined significant clusters to determine the existence of one or more service issues, and generate a service alert based on the analysis determining that one or more service issues are present.

Abstract: Systems, devices, media and methods are presented for retrieving a current location of client device, accessing geographic data based on the current location of the client device, analyzing the geographic data to identify a plurality of geographic features, for each geographic feature of the plurality of geographic features, identifying a direction from the current location of the client device to the respective geographic feature and a confidence level indicating a probability that the current location of the client device is at the direction, returning the direction and the confidence level to the client device, and based on the direction and confidence level, causing presentation of graphical data on a user interface within the client device.

Abstract: An information processing apparatus includes an obtaining unit configured to obtain information of a plurality of labels applied to the learning data by a plurality of users, information regarding reliability of each applied label itself, and information regarding reliability of a user who applies the relevant label, wherein the information of the label is information regarding a result to be recognized in a case where the predetermined recognition is performed on the learning data and a determination unit configured to determine a label to the learning data from among the plurality of labels based on the reliability of the label itself and the reliability of the user who applies the relevant label.

Abstract: A method of joining a first dataset configured to store a set of data entries each identified by a respective key of a first type and a second dataset configured to store a second set of data entries identified by a respective key of a second type, the method comprising: selecting an intermediate mapping entity from a set of possible intermediate mapping entities, each mapping entity storing association between keys of the first type and keys of the second type; providing the selected intermediate mapping entity for use in joining the first data set with the second data set; wherein the step of selecting the intermediate mapping entity is based on the intersection weight between the first and second data sets via each of the intermediate mapping entities, wherein the intersection weight is the proportion of overlapping data entries between the first and second datasets.

Abstract: At least one social media channel includes a plurality of user messages, which are accessible via a communication network. At least some of the stored messages are retrieved from the at least one social media channel via the communication network, and a collection of frequently asked questions (FAQ) is generated or updated by analyzing the retrieved messages to form a plurality of topical issue clusters. Each topical issue cluster is associated with at least one topic parameter from among a plurality of topic parameters, each topic parameter relates to at least one of use, installation or maintenance of a product or service, and each topical issue cluster includes at least one issue identified by a community of users and at least one resolution of the issue identified by the community of users. The generated or updated FAQ is uploaded to a storage location accessible to the community of users.

Abstract: A method and system for automatically performing a discovery of topics within temporal ordered text document collections are provided. The method includes generating a bag of words vector for each text document collection using a predefined dictionary. The method also includes iteratively calculating, based on the generated bag of words vectors, for each text document collection, a hidden topic vector representing topics of the respective text document collection using a calculated hidden state vector memorizing a hidden state of all previous text document collections.

Abstract: A system described herein may provide techniques for receiving natural language inputs at a live dashboard. The natural language inputs may be analyzed to identify entities such as keywords and to determine an intent associated with each input. The identified entities may be mapped to various database elements and a formatted database request may be generated based on the mapping and the identified entities. The formatted database request may be sent to an associated database and a database response may be received. The data included in the database response may be provided by generating a report using report attributes associated with the identified search intent.

Abstract: Systems, methods, and computer program products are provided for auctioning advertising inventory for various applications, including for mobile applications. In various embodiments, a request for an advertisement is received at a first server from a client device. The request is sent, from the first server, to two or more remote servers. A bid value and an asset to be presented at the client device is received from each of the two or more remote servers. A highest bid is determined from the received bid values. Whether the asset associated with the highest bid is compliant based on the request is determined. When the asset is determined to be compliant, the asset is sent to the client device.

Abstract: The disclosure provides a data transmission device. The data transmission device includes a storage medium, a processor and a communication interface. The storage medium is configured to store a plurality of applications. The processor is coupled to the storage media and configured to determine a host application among the plurality of applications, where the host application includes a software development kit (SDK) program, and executes the SDK program of the host application to request behavior data of the plurality of applications. The communication interface is coupled to the processor and is configured to transmit the behavior data to a server.

Abstract: An example method includes presenting a remote broadcast event by delivering content from a first user endpoint device to a plurality of user endpoint devices of a plurality of audience members, estimating reactions of the audience members, based on streams of data received from the plurality of user endpoint devices, grouping the audience members into a plurality of groups, based on the reactions, wherein each group of the plurality of groups is associated with a different reaction, and wherein each audience member who is a member of the each group was estimated to demonstrate a common reaction of the plurality of reactions, wherein the common reaction is associated with the each group, selecting, for a first group, a first audience member from the first group to be representative of the first group, and presenting, to the first user endpoint device, an image of the first audience member.

Abstract: The present disclosure provides systems and methods for modifying and controlling access to private data objects. A system can maintain a node graph comprising nodes that each maintains an association with one or more neighbor nodes. The system can maintain private data objects that are generated based on a request from an organizer node, and include a list of authorized nodes and a setting to enable neighbors of authorized nodes to request inclusion in the list of authorized nodes. The system can receive a request for private data objects from a first node, and identify private data objects that include one or more neighbor nodes of the first node. The system can present a list of private data objects to the first node, and add the first node to the list of authorized nodes of the private data object subsequent to receiving a request from the first node.

Abstract: Techniques for using contextual information relating to content presented by a television as part of a search query for an information search are presented. A search management component, at a given moment in time during presentation of television-related content by a communication device in or associated with a television, identifies contextual information associated with a section of the television-related content and generates a content identifier timestamp associated with the contextual information and the section of television-related content. A search component augments a search query using the contextual information to facilitate customization of a subset of search results based on the contextual information. The contextual information in the search query can facilitate disambiguating the search query or promoting a search result over another search result in the subset of search results, based on the contextual information, to facilitate customization of the subset of search results.

Abstract: A system, method, and machine-readable storage medium for resolving a candidate community are provided. In some embodiments, a method includes obtaining a candidate community and a neighbor set for the candidate community, the neighbor set including zero or more stable communities. The method also includes resolving the candidate community as being a new stable community if the neighbor set is empty. The method further includes resolving the candidate community as being part of a matching stable community if a hash value of the candidate community matches a hash value of one or more stable communities included in the neighbor set. The method also includes resolving the candidate community as being a new stable community if an entropy value is greater than a threshold, the entropy value being based on the candidate community and the neighbor set.

Abstract: The present technology addresses deficiencies associated with common practices for handling out of order data in a streaming data database. An aspect of the present technology is avoid storing out of order data in a snapshot but just store the out of order data as additional data linked to the temporal graph. The present technology receives out of order data and records a modification time for the data and a next modification time for the data that equals a timestamp of data previously stored in the database. If there is also data in the database for a time earlier than the timestamp of the out of order data, the earlier data is adjusted so that its next modification time matches the timestamp of the out of order data.

Abstract: A contextual hashtag generation method, system, and computer program product include receiving content from an online source, identifying a set of contextual indicators for the content, determining an entity-desired outcome for the content, and generating a hashtag for the content using the set of contextual indicators while maximizing the entity-desired outcome.

Abstract: Techniques for sectionalizing clinical documents are provided. In one set of embodiments, a computer system can, for each page of a clinical document: identify one or more section header candidates in the page and, for each section header candidate, attempt to classify the section header candidate as corresponding to one of a plurality of section types using a first classifier or a second classifier. The computer system can further partition the page into one or more sections based on corresponding section header candidates that have been successfully classified using either the first classifier or the second classifier, where the partitioning includes associating each section with a section type in the plurality of section types in accordance with the classification of the section's corresponding section header candidate. The computer system can then validate, for each section, the section's section type via an analysis of the body of the section.

Abstract: Systems and methods to identify document transitions between adjacent documents within document bundles are disclosed. Exemplary implementations may train a model: obtain training information including a first training bundle and corresponding document separation markers; determine page-specific feature information pertaining to individual pages of the first training bundle; determine, based on the obtained page-specific feature information, page-specific feature values for individual features of the individual pages of the first training bundle; generate, for the individual pages of the first training bundle, a page-specific feature vector; train the model, using the training document bundles, to determine whether the first page and the second page are part of different document. Systems and methods may utilize the trained model to identify document transitions between adjacent documents within document bundles.

Abstract: A method includes training a machine learning model using a current set of labeled data points. Each of the data points is multiple data records. A label of a data point indicates a classification of the data point. The training results in a trained machine learning model configured to classify a data point as representing a same entity or different entities. The method includes selecting a subset of unlabeled data points from a current set of unlabeled data points using classification results of the current set of unlabeled data points. The method includes providing the subset of unlabeled data points to a classifier and in response to providing receiving labels of the subset of unlabeled data points. The method may be repeated using the subset of labeled data points in addition to the current set of labeled data points as the current set of labeled data points.

Abstract: A system is provided for referral object processing for textual annotations. The system comprises a memory storing machine executable code and one or more processors coupled to the memory and configurable to execute the machine executable code to cause the one or more processors to parse a document to identify a reference identifier to an external object, the external object associated with information not contained in the document, retrieve the external object using the reference identifier, extract the information associated with the external object based on at least one data pattern detected in the external object, convert the extracted information into textual annotations associated with the reference identifier in the document, and enter the textual annotations to a corpus of content for the document so that the extracted information is associated with the reference in the document for the system.

Abstract: A data archiving method includes obtaining a data format of data to be processed, searching for a data category corresponding to the data format in a first database, extracting feature information of the data to be processed according to a first preset rule if the data category corresponding to the data format is found and storing the feature information in the first database according to a storage rule, and searching the data category corresponding to the data format in a second database according to a second preset rule if no data category corresponding to the data format is found, extracting feature information of the data to be processed, and storing the extracted feature information in the first database according to the storage rule. The first database stores data categories of different data formats of processed data. The second database stores feature information of multiple data categories.

Abstract: The concepts, systems and methods described herein are directed towards a method for detection and quantification of influence. The system is provided to including: a network sampling processor, a narrative discovery processor, and an influence quantification processor. The network sampling processor is configured to sample information on one or more social media networks. The narrative discovery processor is configured to: receive sampled information from the network sampling processor, and in response thereto identify a narrative related to a subset of information sampled by the network sampling processor. The influence quantification processor is configured to: receive information related to the narrative and to process the information via a network causal inference process to quantify influence of the narrative on the one or more social media networks.

Abstract: Methods, systems and computer program products implementing hierarchical classification techniques are disclosed. A hierarchical classification system receives training data including labeled transaction records. The system determines tag sequences from the training data. The system clusters the tag sequences into clusters. The system determines a cluster-level classifier that is trained to predict a cluster for an input transaction record. The system determines a respective cluster-specific classifier for each cluster. The system trains the cluster-specific classifier to predict a label of entity of interest for an input transaction record, given a particular cluster. Upon receiving a test transaction record, the system first applies the cluster-level classifier to determine a particular cluster for the test transaction record, and then determines a label of entity of interest of the test transaction record by applying a cluster-specific classifier of that particular cluster.

Abstract: In some examples, active directory management and remediation may include obtaining data associated with active directories, and generating, based on the obtained data, a data model that includes a plurality of active directory concepts. A graph may be generated and include the active directory concepts as nodes and relationships between the nodes. The graph may be analyzed to identify user to group memberships. A membership score and a reasoning for the membership score may be determined for each identified user to group membership of the user to group memberships. The membership score and the reasoning for the membership score may be analyzed for each identified user to group membership. Further, based on the analysis of the membership score and the reasoning for the membership score, the at least one of the user to group memberships may be remediated.