Abstract: A non-transitory computer-readable medium includes computer-executable instructions that cause a processing unit of a user device to receive a multi-link uniform resource locator (URL), wherein the multi-link URL is associated with a plurality of routing link URLs configured to route the user device to a plurality of corresponding application pages. The executable instructions cause the processing unit to receive user selection of the multi-link URL and rank the routing link URLs based on application installation data stored on the user device, wherein the application installation data indicates whether applications for the routing link URLs are installed on the user device. The executable instructions cause the processing unit to select a final routing link URL based on the ranking of the routing link URLs and access an application page associated with the final routing link URL.

Abstract: As provided herein, a domain model, corresponding to a domain of an image, may be merged with a pre-trained fundamental model to generate a trained fundamental model. The trained fundamental model may comprise a feature description of the image converted into a binary code. Responsive to a user submitting a search query, a coarse image search may be performed, using a search query binary code derived from the search query, to identify a candidate group, comprising one or more images, having binary codes corresponding to the search query binary code. A fine image search may be performed on the candidate group utilizing a search query feature description derived from the search query. The fine image search may be used to rank images within the candidate group based upon a similarity between the search query feature description and feature descriptions of the one or more images within the candidate group.

Abstract: Described is a system and method for enabling visual search for information. With each selection of an object included in an image, additional images that include visually similar objects are determined and presented to the user.

Abstract: A noise management system analyzes messages from a sender to a plurality of recipients. The noise management system prepares a message frequency of a quantity of messages sent to a unique recipient over a period of time. The noise management system sends the message frequency with a noise rank to the client device for the recipient to review.

Abstract: The present disclosure relates to systems and methods for parsing unstructured data with neural networks. In one implementation, a system for parsing unstructured data may include at least one processor and at least one non-transitory memory storing instructions that, when executed by the at least one processor, cause the system to: receive unstructured data; apply a classifier to the unstructured data to identify a type of the unstructured data; based on the identification, select a corresponding neural network; apply the selected neural network to the unstructured data to obtain structured data; and output the structured data.

Abstract: Metric time series (MTS) data objects stored within in-memory storage are marked as inactive in response to determining that no MTS data has been received for the MTS objects within a first predetermined time period. In response to determining that an MTS object has been inactive for longer than a second predetermined time period, the MTS data object is migrated from in-memory storage to on-disk storage. Queries directed to MTS objects are first run against MTS object data stored within in-memory storage, and then against MTS object data stored within on-disk storage. In this way, an amount of in-memory storage needed to store MTS objects may be minimized, while optimizing search performance.

Abstract: A computing device of a system is deployed within a communication network for processing environmental, social, and governance (ESG) reports. The computing device is configured to obtain an ESG report of an entity, receive a question in natural language regarding information contained in or inferable from the ESG report, convert the ESG report into page-wise pieces of text, determine an answer to the question based at least upon the page-wise pieces of text of the ESG report, determine a location of a snippet related to the answer in the page-wise pieces of text of the ESG report, generate a bounding box through which the snippet is highlighted in a page containing the snippet, crop the page based on the bounding box, and display a cropped image of the page.

Abstract: The present disclosure provides systems and methods for content quasi-personalization or anonymized content retrieval via aggregated browsing history of a large plurality of devices, such as millions or billions of devices. A sparse matrix may be constructed from the aggregated browsing history, and dimensionally reduced, reducing entropy and providing anonymity for individual devices. Relevant content may be selected via quasi-personalized clusters representing similar browsing histories, without exposing individual device details to content providers.

Abstract: A system, server device, and method are provided for managing document metadata. The method includes storing metadata in a graph separately from documents with which the metadata is associated and connecting metadata in the graph according to a hierarchy, with each node of the graph being classified based on metadata content. The method also includes assigning properties to edges in the graph connecting the nodes; receiving, via a communications module, an instruction to update the metadata; and dynamically updating at least one edge or node in the graph according to the instruction without requiring access to an associated document. The method also includes receiving, via the communications module, an inquiry related to a document; and responding to the inquiry, via the communications module, after accessing metadata associated with the document by navigating the graph.

Abstract: A search query and a concept comprising a feature are received from a user. Positive and negative item sets are identified, where items of the positive item set comprise the feature and items of the negative item set do not comprise the feature. A hyperplane located between the positive and negative item sets is generated using a machine learning model. A concept activation vector (CAV) orthogonal to the hyperplane is determined. The CAV is used to produce a modified search query vector. Based on comparing the modified search query vector with item vectors, a second set of search results is provided.

Abstract: Search-result explanation systems, methods, and computer-program products receive a user search query, expand the search query into a plurality of sub-queries, perform a database search using the expanded user search query, and determine which sub-queries of the plurality of sub-queries matched with a particular search result. Results from the database search are re-indexed in an index generated on-the-fly and in-memory, within which the results are searched using the sub-queries to determine matching fields and match types. A score is determined based on the type of match(es) with a particular search result based on one or more predefined weights and normalized using a denominator comprising a fictitious, on-the-fly record configured to receive a perfect score according to the received user search query. A user interface showing ranked results and explanations for the ranking, including a score for the result based on the expanded user search query.

Abstract: Systems and methods are disclosed for processing electronic content, such as text, videos, and images. According to certain embodiments, user interactions with electronic content may be tracked over a plurality of modalities, such as web pages, email, mobile applications, and social media. The tracked user interactions may include copy/paste events, explicit user highlighting, social sharing, and user voting. Key passages of electronic content may be identified based on the tracked user interactions and ranked against one another. Ranking of passages may be based, for example, on a raw or normalized score for the identified key passages. Alternatively, the ranking of a passage may be based on a ratio of user interactions with the passage to total views of the electronic text containing the passage. One or more of the identified key passages (e.g., the highest ranked passages) may be published to one or more applications.

Abstract: Techniques described herein elect how data is deduplicated in a storage system. A similarity hash signature for a data unit is calculated. A digest table is searched for a similarity hash signature within a predetermined distance of the similarity hash signature for the data unit. Based on the search, either a similarity hash signature or a strong hash signature of the data unit is added to the digest table.

Abstract: Implementations are described herein for recommending actions based on entity or entity type. In various implementations, a partial free-form natural language input may be received from a user at an input component of a computing device. The partial free-form natural language input may identify an entity without identifying a responsive action and may be directed by the user to an automated assistant that operates at least in part on the computing device. The partial free-form natural language input may be analyzed to identify the entity. Based on the identified entity, a plurality or superset of candidate responsive actions may be identified, filtered, and/or ranked based on one or more signals. The automated assistant may then provide output that recommends one or more of the candidate responsive actions based on the ranking and/or filtering.

Abstract: Systems and methods are provided for determining an environmental impact of one or more transactions. An example method generally includes accessing transaction data representative of a plurality of transactions, where each of the transactions involves a user and a merchant, and accessing at least one index indicative of environmental impact of a plurality of merchants. The method also includes generating a graph based on the users and merchants included in the transaction data, whereby the graph is representative of the plurality of transactions, and determining a mapping between ones of the merchants involved in the transaction data and the environmental impact indicated by the at least one index, based on at least one of: the graph, the accessed at least one index, a graph convolution network (GCN), and a graph neural network (GNN). The method then includes publishing the mapping between the ones of the merchants and the environmental impact.

Abstract: A method implements a dataset rank metric for measuring dataset relevance. Metadata is identified for a plurality of datasets. A graph structure is generated in storage. The graph structure includes a multitude of nodes connected by a multitude of edges. Each node of the multitude of nodes representing a respective dataset of a multitude of datasets, the multitude of edges connecting the multitude of nodes according to a data lineage determined from metadata of the multitude of datasets. A composite score is generated for each node of the graph. The computer processor iteratively processes the composite scores for the multitude of nodes of the graph to generate a dataset rank for each dataset. The multitude of datasets is presented in an interface, sorted according to the respective dataset rank of each dataset.

Abstract: A method, apparatus and device used to search for content, and a computer-readable storage medium, which relate to the field of data processing. In the method, in response to receiving a search request for a target search term, obtain multiple historical search records related to multiple historical search requests, each historical search record comprising the historical search term targeted by the corresponding historical search request. Then, determine a first historical search record matching the target search term from the multiple historical search records. Furthermore, based on the relationship between multiple historical search records, determine from the multiple historical search records a second historical search record associated with the first historical search record. The method further comprises determining an extended result for the target search term on the basis of the search result corresponding to the second historical search record.

Abstract: Disclosed is a method and system for a single broadband portal where all content may be delivered to users of varied electronic devices. An example embodiment (i) provides a user interface for enabling user selection of media contents per varied electronic devices, each varied electronic device having a respective platform, the user interface indicating one or more different possible media contents; (ii) accepts from a user requests for distribution service to any of the varied electronic devices of the user, the requests specifying a user desired media content; (ii) locates the user desired media content from a plurality of storage modules; (iv) transmits the user desired media content to at least one of the varied electronic devices of the user; and (v) tracks the transmission of the user desired media content for billing purposes.

Abstract: Embodiments of the present invention provide systems, methods, and computer storage media for identifying candidate boundaries for video segments, video segment selection using those boundaries, and text-based video editing of video segments selected via transcript interactions. In an example implementation, boundaries of detected sentences and words are extracted from a transcript, the boundaries are retimed into an adjacent speech gap to a location where voice or audio activity is a minimum, and the resulting boundaries are stored as candidate boundaries for video segments. As such, a transcript interface presents the transcript, interprets input selecting transcript text as an instruction to select a video segment with corresponding boundaries selected from the candidate boundaries, and interprets commands that are traditionally thought of as text-based operations (e.g., cut, copy, paste) as an instruction to perform a corresponding video editing operation using the selected video segment.

Abstract: The present application provides methods, devices and computer readable media for intrinsic popularity evaluation and content compression based thereon. In an embodiment, there is provided a method of intrinsic popularity evaluation. The method comprises: receiving an image from a social network; and determining an intrinsic popularity score for the image using a deep neural network (DNN) based intrinsic popularity assessment model.

Abstract: A computer server system and method are disclosed for personalization and customization of network search results and rankings, such as for Internet searching. A representative server system comprises: a network interface to receive a query from a user and transmit return queries and search results; a data storage device having a first, lexical database having one or more compilations and templates; and one or more processors configured to access the first database and search a selected compilation using the query to generate initial search results; to comparatively score each selected parsed phrase of the initial search results, for each classification of a selected template and a selected compilation, and to output initial and final search results arranged according to the classifications and the predetermined order of the template. A representative embodiment may also include use of a second, semantic database having multi-dimensional vectors corresponding to parsed phrases, paragraphs, or clauses.

Abstract: Systems and techniques for retrieving video data associated with a selected attribute are described. The systems and techniques include receiving a multimodal input associated with the attribute for querying a catalog of video data to identify video data including the attribute. A first embedding is determined for the input using a first encoder to map the input to a representation space. A second embedding is determined for the video data to map the video data to the representation space. A similarity score is determined between the video data and the input based on a distance between the embeddings. The video data associated with the attribute may be selected based on the similarity score.

Abstract: The disclosed embodiments relate to systems and methods for generating an optimal solution for determining a value for one or more base data objects. A plurality of solutions include one or more composite data objects transacted by a transaction system processor. The composite data objects include the one or more base data objects. An optimal solution is generated by using data indicative of a level of activity and a number of sources for each of the plurality of composite data objects.

Abstract: Another aspect of the invention provides a system for identifying causes of loss from insurance claims data comprising a plurality of unstructured or semi-structured insurance claims data. The system includes: a processor; and computer-readable memory containing instructions to: implement an interface programmed to receive insurance claims data comprising one or more insurance claims; store the insurance claims data in the computer-readable memory; and invoke execution of the method as described herein on the processor.

Abstract: A system and method for evaluating the performance and usage of a cognitive computing tool which answers questions from users. A log file for these interactions includes the questions, the answers and a confidence rating assigned by the tool to each answer. Questions and answers are analyzed to determine validity, accuracy, and categories by subject matter experts or text analytics tools, and the results are added to the log file. Comments and sentiments from users may be analyzed and added to the log file. Additional data about the users, such as identities, demographics, and locations, may be added. Data from the log file may be presented in a dashboard display as metrics, such as trends and comparisons, describing the usage and performance of the cognitive computing tool. Answers may be displayed as they were presented to the users. Selectable filters may be provided to control the data displayed.

Abstract: This application relates to ransomware detection and data pruning management. Ransomware typically involves an I/O heavy process of encrypting data files and/or deleting or renaming the original files. Thus, ransomware attacks may be detected by analyzing the I/O activity in a given file system. In some embodiments, a software module running on a client machine manages copying, archiving, migrating, and/or replicating of primary data and restoring and/or pruning secondary data (e.g., backup copies of the primary data). When a potential ransomware attack is detected, the software module is immediately stopped so that the software module does not prune any data that may need to be restored. Upon receiving user input that indicates that the client machine is not under a ransomware attack, the software module is allowed to resume its operations, including pruning of the secondary data.

Abstract: A computer-implemented method is provided that includes receiving a search query and, responsive to the search query, providing one or more textual comments relevant to the search query. This includes tokenizing the search query and calculating a set of query term frequency metrics. A set of records relevant to the search query is then selected, from a persistent storage, based on determined similarities between the query term frequency metrics and frequency metrics determined for the records in the persistent storage. Textual comments within the selected records are associated with usefulness metrics. The textual comments relevant to the search query are selected by selecting those textual comments within the selected records that are associated with usefulness metrics that are within a pre-determined range, e.g., an inter-quartile range for a population of usefulness metrics.

Abstract: Aspects described herein may allow for generating a filter list to facilitate users to refine their online search. Data items displayed on a web page may be determined based on the user's input data, for example, based on a selection command selecting the data items. Each data item corresponds to a feature of a product. Filters corresponding to the data items may be determined and the weight of each filter may be updated. A filter list may be generated and displayed to facilitate the user to refine his search for a class of products. The filters on the filter list may be automatically ordered based on the weight of each filter. In this way, a user may be able to find filters that are associated with features that he cares about the most and therefore use the filter list to obtain more satisfying results.

Abstract: Examples are directed to systems and methods that cause a first user interface having an input field that receives a search query to be displayed. A search query having an attribute of a first entity is received at the input field. Data records are searched for a second entity using the attribute when the search query is received. A second user interface is displayed that has a data record for the second entity. The data record lists the attribute and an additional attribute of the second entity. The second user interface has a drill down user interface that lists the attribute and the additional attribute. The attribute and the additional attribute are selectable to reconfigure the second user interface. The second user interface has a selectable option to create a new data record where the option corresponds to an indication that the first entity is different from the second entity.

Abstract: A user request for a set of images is received via a graphical user interface, the subset of images having an initial order. A subset of neighboring images is selected, wherein the subset of neighboring images is ordered according to a first sequence. A first concordance value characterizing visual detectability of one or more illicit content features across images in the subset of neighboring images ordered according to the first sequence is computed. A second concordance value characterizing visual detectability of one or more illicit content features across images in the subset of neighboring images ordered according to a second sequence is computed. Responsive to a difference between the second concordance value and the first concordance value satisfying a predetermined condition, the subset of neighboring images is rearranged according to the second sequence.

Abstract: Visually guided machine-learning language model and embedding techniques are described that overcome the challenges of conventional techniques in a variety of ways. In one example, a model is trained to support a visually guided machine-learning embedding space that supports visual intuition as to “what” is represented by text. The visually guided language embedding space supported by the model, once trained, may then be used to support visual intuition as part of a variety of functionality. In one such example, the visually guided language embedding space as implemented by the model may be leveraged as part of a multi-modal differential search to support search of digital images and other digital content with real-time focus adaptation which overcomes the challenges of conventional techniques.

Abstract: A categorization analysis system is provided. The categorization analysis system includes one or more hardware processors, a memory including a first plurality of listings categorized in a first target category, and a categorization analysis engine executing on the one or more hardware processors. The categorization analysis engine is configured to determine a label for each listing including performing a search on title, select a set of training listings based on the determined labels, train a first model using the set of training listings and the determined labels, the first model being a classification model configured to classify categorization of listings, identify a suspect listing categorized in the first target category, apply the suspect listing to the first model, thereby generating a categorization result for the suspect listing, the categorization result indicating miscategorization of the suspect listing, and identify the suspect listing in the memory as miscategorized.

Abstract: A computer-implemented method performed at least in part by a graph database configured to store at least one graph dataset. The method includes receiving a graph query configured to be performed against a machine learning model, and communicating the graph query with a machine learning system that is configured to use the machine learning model to obtain model inference results and communicate those model inference results to the graph database application. The graph database provides query results based at least in part on the model inference results to an entity.

Abstract: Techniques for summarization of search results are provided. A similarity search query comprising at least one search criteria is received. The similarity search query is executed on at least one data source containing a plurality of images associated with metadata responsive to the search criteria. A plurality of search results response to the similarity search query is received from the at least one data source. The plurality of search results is clustered based on the metadata associated with the plurality of search results excluding the similarity criteria. The plurality of search results is summarized based on the results of the clustering. The summarization is displayed in a display view. An interactive user interface is provided to refine the plurality of search results based on the summarization.

Abstract: A collaborative system that securely enables the tracking of changes in an agreement.

Abstract: A plurality of HyperText Markup Language (HTML) strings corresponding to a dataset of document object model (DOM) nodes is tokenized according to a tokenization scheme to produce a dictionary of tokens that occur in the dataset. A condensed dictionary of tokens in produced by removing low-value tokens from the vocabulary of tokens. An information matrix is computed based on the condensed dictionary of tokens, the information matrix being a set of values, a value of the set of values corresponding to a frequency of co-occurrence of a pair of tokens. A library of word vectors is derived from the information matrix. A feature vector of an HTML element is generated based at least in part on the library of word vectors, and a classification for the HTML element is obtained from a machine learning model as a result of inputting the feature vector into the machine learning model.

Abstract: Some embodiments provide a map application that identities a transit route that includes one or more transit legs between a starting location and a destination location. In response to a request to start navigating the identified transit route, the map application of some embodiments provides a first display area for displaying a set of navigation instructions, each of which describes a transit maneuver that is associated with a transit leg of the transit route. The map application also provides a second display area for displaying a map region presentation associated with the navigation instruction that is displayed in the first display area.

Abstract: Shoppable video enables a viewer to identify and buy items appearing in a video. To retrieve information about the items in a frame of the video, the playback device generates a perceptual hash of that frame and uses that hash to query a first database storing perceptual hashes of different version of the video. The database query returns an identifier for the frame, which is then used to query a second database that store the item information. The results of this query are returned to the playback device, which shows them to the user, enabling the viewer to learn more about and possibly purchase the item. Using queries based on perceptual hashes of different versions of the video increases the likelihood of returning a match, despite formatting differences. And using separate hash and metadata databases makes it possible to update the metadata without changing the hashes.

Abstract: An exemplary embodiment of the present disclosure relates to an apparatus providing drive guide information of a construction equipment includes: an information acquisition unit acquiring information generated according to a motion of the construction equipment; a storage unit storing an item defined for calculating a score for worker driving of the construction equipment and an equation for calculating the score for the item, and storing a guide phrase for each item and information on equipment setting change for each item; a control unit calculating the score for each item according to the information provided, and selecting an item which needs to be improved based on the calculated score for each item; and a display unit displaying a guide phrase matching an item selected according to an instruction of the control unit and information on equipment setting change matching the selected item at a predetermined time.

Abstract: Systems and methods enable an entity to certify a web page address as being linked to the entity. The web page address includes semantic web mark-up identified attributes for the entity. A system may extract the attributes from the web page for the entity and use the attributes to generate an information card for the entity. The certification process ensures that the attributes are accurate, so that information cards generated for the entity are of high quality and reliable. Implementations may also simplify maintenance and quality assurances processes for an entity repository.

Abstract: Top frequency worksheet filtering including sending a first request comprising a first search term; receiving, in response to the first request, a first plurality of distinct values having a greatest frequency in a data set and responsive to the first search term, wherein the first plurality of distinct values comprises a number of distinct values less than or equal to a size threshold; presenting the first plurality of distinct values; receiving a selection of a first value from the first plurality of distinct values; and filtering, based on the selected first value, a worksheet comprising a presentation of the data set.

Abstract: An unstructured data input is accessed that includes an electronic communication. Content of the unstructured data is parsed to determine one or more terms in the unstructured data input. It is determined that one or more particular elements defined in a structured business data model correspond to the terms. Tags are assigned to the unstructured data based on the terms corresponding to the one or more particular elements, where the tags define an association between the unstructured data and the structured data model.

Abstract: Embodiments are directed to generating metrics based on visualizations. A dashboard that may be associated with source visualizations display a current value of metrics from source visualization models. A classifier may automatically use characteristics from the source visualizations to determine metrics for the source visualization. The source visualization models may be sample to provide values of the metrics across time, at a sampling rate determined by a metric profile. The sampled values may be stored with time values in a metric data store such that the time values may correspond to when the values sampled from the visualization. Metric visualizations may be generated based on the values and the time values such that the metric visualizations display previously sampled values of the metrics.

Abstract: A computer-implemented method, system and computer program product for recommending a template or a dataset. A descriptor (input descriptor) of the input, corresponding to a dataset or a dashboard template, is extracted or fetched. The input descriptor may be the descriptor of the dataset which includes topics and concept combinations. Alternatively, the input descriptor may be the descriptor of the dashboard template which includes topics, concept combinations and column-to-visualization mappings. Scores are then generated for the candidate targets, corresponding to dashboard templates or datasets, based on one or more of the following: matching topics in the input descriptor with topics in the candidate target descriptors, matching concept combinations in the input descriptor with concept combinations in the candidate target descriptors, and determining compatibility of the datasets with the dashboard templates.

Abstract: The present disclosure provides for systems and methods for processing data. In some aspects, a data processing system may comprise at least one computing device, wherein the computing device may be configured to facilitate the performance of at least one process for extracting one or more domain-specific topics or themes from at least one data set. In some implementations, one or more data sets may be received by the data processing system such that the data processing system may identify one or more n-grams within each data item. In some embodiments, one or more of the n-grams may identified as being potentially associated with a correlating topic or theme such that data items comprising the same or similar n-grans may be aggregated into the same topic or theme, thereby assisting a user with quickly locating desirable data items within the data set.

Abstract: The method provides for receiving a plurality of documents including mentions of a target entity from a search query about the entity. The mentions of the target entity are identified in respective documents of the plurality of documents. Content surrounding the one or more mentions of the target entity are extracted with the mentions within the respective documents and form section. A respective document includes a plurality of sections. Metrics of relevance and irrelevance to the target entity are determined within the plurality of sections of the respective documents. A density score is generated for the plurality of sections of the respective documents. A relevancy score is assigned to respective documents of the plurality of documents, based on the density scores of the sections of the respective documents. The documents are ranked based on the relevancy score and presented in an order based on the ranking.

Abstract: The present disclosure relates to computer-implemented methods, software, and systems for obtaining incoming alerts associated with tickets generated for health status issues identified by applications for central components of a cloud platform environment. The obtained incoming alerts are aggregated to determine a root cause ticket. A set of incoming alerts is associated with a first central component running at a first data center from one or more data centers of the cloud platform environment. The set of incoming alerts are generated based on a set of tickets logged at a first ticketing system of the first data center by one or more applications running on the first data center. A root cause ticket is generated to combine the set of tickets corresponding to the set of incoming alerts, and the root cause ticket identifies the first central component as associated with a first health status issue.

Abstract: Search may be provided using a database storing a plurality of documents comprising a first set of documents and a second set of documents, a set of vetting values and a computer readable medium. In such a system, for each document in the second set of documents, the first set of documents comprises a document for which that document from the second set of documents is identified as a subsequent related document. Additionally, the set of vetting values may comprise, for each document from the second set of documents, a vetting value for the document from the first set of documents for which that document from the second set of documents is identified as the subsequent related document. Additionally, the medium may store instructions to respond to a query by determining, based on the set of vetting values, a search result set comprising documents from the first set of documents.

Abstract: A user can submit a visual query that includes one or more images. Various processing techniques such as optical character recognition (OCR) techniques can be used to recognize text (e.g. in the image, surrounding image(s), etc.) and/or various object detection techniques (e.g., machine-learned object detection models, etc.) may be used to detect objects (e.g., products, landmarks, animals, humans, etc.) within or related to the visual query. Content related to the detected text or object(s) can be identified and potentially provided to a user as search results or a proactive content feed. As such, aspects of the present disclosure enable the visual search system to more intelligently process a visual query to provide improved search results and content feeds, including those search results which are more personalized and/or consider contextual signals to account for implicit characteristics of the visual query and/or user's search intent.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for adaptive educational activities are disclosed. In one aspect, a computer-implemented method includes receiving, by a computing device that is configured to grant a given user access to a first group of activity modules based on a classification of the given user, user data and classification data. The method includes granting the user access to a first activity module and a second activity module, and preventing the user from accessing a third activity module. The method includes receiving interaction data based on the user interacting with the first activity module, and determining that the interaction data indicates an improper classification of the user. Based on the interaction data, the method includes maintaining the classification of the user, granting the user access to a fourth activity module, and preventing the user from accessing the second activity module.