Abstract: A user interface is configured to present a stream of activities that arise from operation of two or more heterogeneous applications that access shared content objects of a content management system. A first application of a first type among the heterogeneous applications interoperates with a second application of a second type. Application activity records that correspond to interactions by the second application over the shared content objects are stored. Additional interactions that are raised by the first application and that pertain to a common content object are also stored. When a user requests access to a content object of the content management system, recent application activity records are selected. Some of the selected activity records are filtered out based on permissions attributes corresponding to the content object and/or based on permissions attributes corresponding to the requesting user. An application activity stream is generated based on the selected application activity records.

Abstract: The present application discloses a dynamic routing method and apparatus for a query engine in a pre-computing system. The method includes: pre-obtaining cube data under a preset dimensional combination in a pre-computing system; determining a degree of aggregation of the cube data selected as expected under the preset dimensional combination after a query request is received; executing query processing on the query request in a first distributed query engine when the degree of aggregation of the cube data under the preset dimensional combination is high; and switching to a second distributed query engine to execute query processing on the query request when the degree of aggregation of the cube data under the preset dimensional combination is low. The present application solves the technical problem that the query response speed of the pre-computing query system is not ideal. Through the present application, the sub-second high-performance query response can be achieved.

Abstract: Incremental clustering of similar or related messages that otherwise requires limited use of memory for the purpose of increasing scalability. Incremental clustering includes receiving, by a machine learning (ML) engine, an incoming message from an application programming interface (API) server, and scanning, by the ML engine, a plurality of clusters for one or more messages similar to that of the incoming message. Incremental clustering also includes identifying, by a clustering engine, a cluster from the plurality of clusters. The identified cluster includes the one or more messages similar to that of the incoming message. Incremental clustering further includes assigning, by the clustering engine, the incoming message to the identified cluster.

Abstract: The present application discloses a cross-media retrieval method based on deep semantic space, which includes a feature generation stage and a semantic space learning stage. In the feature generation stage, a CNN visual feature vector and an LSTM language description vector of an image are generated by simulating a perception process of a person for the image; and topic information about a text is explored by using an LDA topic model, thus extracting an LDA text topic vector. In the semantic space learning phase, a training set image is trained to obtain a four-layer Multi-Sensory Fusion Deep Neural Network, and a training set text is trained to obtain a three-layer text semantic network, respectively. Finally, a test image and a text are respectively mapped to an isomorphic semantic space by using two networks, so as to realize cross-media retrieval. The disclosed method can significantly improve the performance of cross-media retrieval.

Abstract: One embodiment of the invention is directed to a method for performing efficient key range searches in a distributed computing system. The method may comprise, receiving a first key (e.g., an alphanumeric identifier). A key range tree map associated with the first key may be identified from a plurality of key range tree maps. In some embodiments, individual key range tree maps map a set of minimum range values to a set of index values. The method may further comprise determining an index value associated with a second key using the determined key range tree map. Transaction processing data associated with the first key may be determined using the index value and provided to the requesting source. Utilizing the plurality of key range tree maps as described herein enables a key range search to be performed using on-board memory of an electronic device.

Abstract: A calculate once use forever (COUF) method to efficiently determine statistics on data records of a data set. Data records are read from an original data set and grouped together into units and simple statistic on each unit are calculated and stored in a database. When a query asking for an additional statistic comes in, the additional statistic can be determined quickly and efficiently from the already calculated unit simple statistics so that read redundancies and computational redundancies can be eliminated.

Abstract: There is provided an information processing device, an information processing terminal, and an information processing method which are capable of presenting a choice which is easily recognized by voice. The information processing device according to one aspect of the present technology acquires a plurality of pieces of presentation information to be presented as choices and causes a part which is not similar to the other presentation information among the respective pieces of presentation information to be presented in a form different from a similar part. The present technology can be applied to devices having a voice assistant function of assisting a behavior of a user.

Abstract: Methods, systems, and computer programs for generating a playlist of media content items that are popular with the friends of the first user. A first user taste profile is determined and a user taste profile is determined for each of a plurality of social connections. A similarity score is calculated between the first user taste profile and the user taste profile of each social connection. Media content items consumed by social connections with the highest similarity score are selected and placed in a playlist for the first user.

Abstract: Automatic consistency is implemented for forwarding writes in a database system. A read-only node may support both read and write requests to a database. The read only node may forward write requests to a read-write node. The read-only node may determine whether to include the forwarded requests in a version of the database for a read request automatically according to a consistency specified for a read request.

Abstract: Provided herein are data cloud administration techniques that achieve autonomy by using a rules engine that reacts to a database system event by autonomously submitting an asynchronous job to reconfigure a database. In an embodiment, a rules engine receives an event from a DBMS. Based on the event, the rules engine executes a rule to generate a request that indicates configuration details for a database. The rules engine sends the request to a request broker. The request broker dispatches an asynchronous job based on the request. The asynchronous job configures the database based on the configuration details. Thus, databases in a cloud, data grid, or data center may be administered autonomously (without human intervention) base on dynamic conditions that are foreseen and unforeseen.

Abstract: Partitioning of temporal databases can implement distributed storage of temporal data via time-based or space-based techniques to improve performance of operators on the database. A variety of operators can be supported for the partitioned tables, including temporal aggregation, time travel, and temporal join. The use of checkpoints can greatly increase performance in a variety of scenarios. The described partitioning techniques can be applied in a parallel execution context to great benefit. The partitioning can also reduce local memory footprint, facilitating in-memory database processing.

Abstract: A plurality of documents is received. From one or more documents within the plurality, a set of image features is extracted. A document feature repository is generated by storing one or more sets of image features, by document. A document search query is received. The document search query is pre-processed to generate a set of variable document search queries. The document feature repository is searched using the set of variable document search queries. The search results are presented to a user.

Abstract: Methods and systems are disclosed for automated semantic tagging that include detecting a particular thread executed by a processor and identifying a root process of the particular thread. An object-process link may be by linking an object that executed code that called the particular thread to the root process. A thread list of thread definitions of the object may be identified. A particular thread definition that corresponds to the particular thread can be mapped. Resource types to be consumed upon executing an instance of the thread instantiated from the particular thread definition can be identified and the corresponding values of the resource types can be determined. A process specification can be generated that encapsulates the thread definition, resource types and values so as to reproduce a state of the root process at a point in which the particular thread executed.

Abstract: A method of determining damage to property includes inputting historical data into a machine learning model to identify an insured type, features, and/or characteristics. The method may include identifying a peril, repair and/or replacement cost of the vehicle by analyzing a digital image from a device of an insured, the digital image depicting damage to the vehicle. The method may include inputting the digital image into the trained machine learning model to identify a type, feature, and/or characteristic of the vehicle, and may include identifying a peril, repair, and/or replacement cost associated with the vehicle. A method may include receiving and/or retrieving free-form text associated with an insurance claim and/or a vehicle, identifying at least one key word composing the free-form text, and determining based on the at least one key word a cause of loss and/or peril that caused damage to the vehicle.

Abstract: An abnormality prompting method and an intelligent socket (30) are provided. Prompting is performed when a home appliance runs abnormally by means of the intelligent socket (30). The method includes: the intelligent socket (30) receives a state message from a first home appliance (S202), and the state message includes indication information used for indicating a current working mode of the first home appliance; the intelligent socket (30) obtains an actual value of a working parameter of the first home appliance (S203); the intelligent socket (30) determines a working state of the first home appliance according to the actual value of the working parameter and a maximum value of the working parameter allowed by the working mode (S204); when determining that the working state of the first home appliance is an abnormal state, the intelligent socket (30) outputs a prompt message (S205).

Abstract: Methods, systems, and computer programs are presented for embedding user categories into vectors that capture similarities between the user categories. One method includes an operation for building a graph for a category of attributes for users of a social network, the graph including a vertex for each category value. Connections, built between the graph vertices, have a connection value indicating the number of users to which the category values associated with the vertices have been assigned. Further, a first vector for each category value is obtained based on the graph, where a distance between two category values is a function of the connection value between the corresponding vertices. A user vector, based on the first vectors of the category values, is assigned to each user. A search is performed for a given user based on the user vectors, and results are presented to the given user.

Abstract: Disclosed herein are system, method, and computer program product embodiments for converting column loadable data in a database into a page loadable format. When a column oriented in-memory database needs to perform an operation on a table, the affected columns must be loaded fully into memory. In some cases, a database may partition tables, allowing for column fragments corresponding to those partitions to be loaded into memory. These column fragments may exceed available memory, such that it is beneficial to convert the column fragment into a page loadable format. Approaches are discussed herein for performing the conversion without the need to update global metadata during the process, allowing for multiple parallel column fragments to be updated, allowing data manipulation language (DML) operations to continue on the column during the conversion process, and reducing the impact of blocked parallel savepoint operations during the conversion process by chunking the conversion process.

Abstract: In an approach to defining and symphonizing serverless functions of hybrid multi-cloud services, a mapping table that contains quality of service (QoS) attributes for applications and service providers is created. Responsive to receiving a request from a runtime application to access specific serverless functions, specific QoS attributes for the runtime application are determined. Supporting service providers that provide the specific serverless functions and the specific QoS attributes for the runtime application are determined. A supporting service provider is selected from the supporting service providers. The specific serverless functions for the runtime application are bound to the supporting service provider.

Abstract: A simulation system receives a request to retrieve simulation data from memory of a computing system. The received request includes a property key identifying the simulation data to be retrieved. The property key is searched in a map storing associations between a plurality of property keys and memory where simulation data associated with a corresponding property key is stored. The memory for the requested simulation data accessed to obtain the requested simulation data.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for providing filters from resource content. In one aspect, a system receives data identifying a set of resources that are determined to be responsive to a search query and extracts a set of keywords from the contents of the resources and related queries. The keywords are processed according to candidate selection criteria, and a set of candidate query filters are determined. The candidate filters may be used to filter the resources that are responsive to the query.

Abstract: Software program code of an interface is obtained. A particular object in the program code is identified by at least causing the computer system to identify a set of candidate objects in the software program code and, for each candidate object of the set of candidate objects, produce a modified set of candidate objects. The system is caused to at least simulate human interaction with the candidate object, detect a result of simulating the human interaction, and modify a ranking of the candidate object based on the result. The particular object is determined from the modified set of candidate objects based on the ranking. Integration code based on the particular object. Integration code is generated based on the particular object. The integration code is provided to a device to cause, as a result of execution by the device, the device to engage the particular object in the interface.

Abstract: In various example embodiments, a system and method to provide status indictors on an image galley is disclosed. At least one item to be displayed in an image gallery on a client device is identified. Once identified, status information for the item is obtained. Subsequently, gallery rendering and display instructions are generated and transmitted to the client device. The rendering and display instructions include the status information and enables generation of status indicators from the status information for display over the image gallery at the client device. The rendering and display instructions may also include instructions for displaying the image gallery. The status information at the client device may be updated as status information changes.

Abstract: Video data is obtained or received. At least a current frame or previous frame(s) of the obtained or received video data are provided to an input of a neural network. A predicted output is generated at an output of the neural network. The predicted output includes at least one of predicted future frame(s) of the video data and predicted properties of future frame(s) of the video data. Processing decision(s) are determined based, at least in part, on the predicted output. The current frame of the video data is processed at least partially according to the processing decision(s).

Abstract: Various methods and systems for selectively and securely sharing user data to a facility in order to accommodate the specific needs of the user. The methods further correspond to receiving, from a computing entity, geographic location information corresponding to the geographic location of the computing entity which is associated with the user and transmitting a notification to the computing entity of a facility in proximity to the geographic location of the computing entity. The methods further include receiving, from the facility, a request for user data associated with the user of the computing entity that is applicable to the facility, generating a proposed user dataset in response to the request that satisfies the facility-specific user data parameters and transmitting the proposed user dataset that meets the facility-specific user data parameters for sharing with the facility when a relevance score exceeds a relevance threshold value and the sharing eligibility is approved.

Abstract: A request is received to create a graph database from one or more relational databases. For each relational database, data objects in the relational database are identified. For each data object, a graph data object corresponding to the data object is created. The graph data object is linked to the data object. A set of associated data objects in the relational database are determined, and for each associated data object, an associated graph data object is created if a graph data object corresponding to the data object does not exist. For each created graph data object, a graph data relation object is created that represents a relationship between the graph data object and the associated graph data object. Created graph data objects, associated graph data objects, and graph data relation objects are stored in the graph database. The graph database is provided to one or more applications.

Abstract: Controlling access to nodes in a relational graph at query time by using an approximate membership query (AMQ) filter and ordered queries based on historic grants or denials of access according to security context enables a more efficient querying of the relational graph while preserving access controls. Security contexts that grant or deny access to a node are stored in an associated AMQ filter and are queried according to the subject's security context in an order based on the frequency at which the security contexts have previously granted or denied access to nodes in the relational graph.

Abstract: Systems and methods that may be used to automatically correct, complete and or suggest words or terms to the user of an electronic service (e.g., accounting service) while the user is entering a search keyword and or filling out a form field. The automatic correction, completion and or suggestion of words or terms are based natural language processing of historical data from a plurality of users of the electronic service.

Abstract: The present disclosure relates to controlling communication between various applications or integrating various applications using interaction patterns. Interaction pattern data, which defines multiple roles for an interaction pattern is generated. Each role is associated with a transaction and is a source or target of a transaction. A transaction is performed using an application programming interface (API). A role can be a provider, or a consumer of the API based on whether the role is a source or target of the transaction. Application conformance data, which defines a set of roles implemented by the application is generated. An application is permitted to invoke an API of another application, if the application implements a first role and the other application implements a second role, and the first role and the second role are a source and target, respectively, of a transaction performed using the API.

Abstract: Systems, devices, apparatuses, components, methods, and techniques for media content playback during travel are provided. An example method of generating a user interface for a media playback device. The method includes the step of displaying a first user interface screen in a first display format. The first display format including graphical representations of a plurality of selectable controls. The method also includes the step of determining that the media playback device is travelling and after determining that the media playback device is travelling, converting the first user interface screen to a second display format. The second display format includes fewer graphical representations of the plurality of selectable controls than the first display format.

Abstract: Embodiments of this application provide a virtual scene display method performed at a computing device. The method includes: obtaining animation data and video data; displaying an animation interface corresponding to the animation data in an animation display area of a display interface, the animation interface including a first virtual scene including a plurality of animation elements; and playing a video clip in the video data in response to an operation on the animation elements in the animation interface, the video clip presenting a picture of transformation from the first virtual scene to a second virtual scene. A virtual scene display solution provided in the embodiments of this application can reduce resource consumption of an intelligent device and reduce picture stutter.

Abstract: Partial reloading of source data in data synchronization. Determining whether a source partition of source data in a source database is to be reloaded into target data in a target database, the source partition corresponding to a target partition of the target data. In accordance with a determination that the source partition is to be reloaded, one or more processors determine to load the source partition from the source database into the target database as a reference partition, the reference partition being separated from the target data in the target database and being assigned with a reference partition identity. In accordance with a determination that the loading of the source partition is completed, one or more processors determine to attach the reference partition to the target data.

Abstract: Method and apparatus for providing a personalized self-support service to a user of an online application coupled with an online community forum. Embodiments include obtaining a plurality of questions from the online community forum and obtaining historical user data. Embodiments further include identifying one or more part-of-speech words in the plurality of questions and generating a high-dimensional vector for each question of the plurality of questions based on a frequency of the one or more part-of-speech words. Embodiments further include identifying one or more user features of the plurality of users based on the historical user data and establishing, based on the historical user data, one or more statistical correlations between user features and part-of-speech words. Embodiments further include training a predictive model based on the one or more statistical correlations. Embodiments further include using the predictive model to predict to provide one or more relevant questions to the user.

Abstract: A system and methods for classification of events, the system including a memory, a network interface, and a processor configured to monitor system events via the network interface and store the system events as an event log in the memory, collect information about events from various web resources, extract, from the event log and the collected event information, labeling data including data about urgency of events and generate, based on the extracted labeling data, labeling data structures ascribing labels to respective events, extract, from the event log and the collected event information, event features data and generate, based on the extracted event features data, event features data structures ascribing features to respective events, and formulate decision rule structures for identification of urgent events based on the labeling data structures and the event features data structures.

Abstract: A building system including one or more memory devices configured to store instructions thereon, wherein the instructions, when executed by one or more processors, cause the one or more processors to cause a user interface of a user device to display a plurality of nodes of a semantic building model and a plurality of relationships between the plurality of nodes of the semantic building model. The instructions cause the one or more processors to receive a search input from the user device, generate a search result based on the search input, wherein the search result comprises an indication of a portion of nodes of the plurality of nodes and a portion of relationships of the plurality of relationships, and cause the user interface to display the portion of nodes of the plurality of nodes and the portion of relationships of the plurality of relationships.

Abstract: Methods, systems, and computer storage media for processing search queries using relevance-based search refinement are provided. In response to a search query, search result items are displayed on a search interface along with selectable guidance attributes. The guidance attributes are an identified ranked set of characteristics of items based on historical user interactions of users interacting with the search result items provided in response to the search query. Upon selection of a guidance attribute, a guidance-attribute control having embedded selectable values is displayed. A selection of an embedded value is received to cause execution of an embedded-value search operation. A first embedded-value search operation is executed to identify a subset of the items using the selected value.

Abstract: The following units are included: a word search unit searching a database for each of words included in an input word pair; a word vector extracting unit extracting a word vector corresponding to each of the searched words from a word vector database; a character vector converting unit converting characters included in the word pair into a character vector; a feature amount acquiring unit acquiring a feature amount by combining the extracted word vector of each of the words and the character vector generated by converting the characters; and an estimation unit estimating a semantic relation between the words from the acquired feature amount.

Abstract: Systems, computer-implemented methods, applications, user interfaces, and tangible non-transitory computer readable media for generating instructions in a computer language are disclosed. For example, a computer-implemented method may include maintaining one or more databases that collectively store organizational data associated with an organization where the organizational data comprises a plurality of data objects that respectively correspond to records from the organizational data, providing an application user interface for generating instructions in a custom computer language where the custom computer language includes programmatic commands for performing operations based on the organizational data, analyzing input from the application user interface where the input comprises information for generating the instructions in the custom computer language, and generating the instructions in the custom computer language based at least in part on the input from the application user interface.

Abstract: A virtualized application runs on top of a guest operating system (OS) of a virtual machine and is supported by a file system of the guest OS. The method of supporting the virtualized application with the file system includes provisioning a first virtual disk as a data store of the file system and a second virtual disk for the virtualized application, wherein the first and second virtual disks store first and second files of the virtualized application, respectively, retrieving metadata of the virtualized application, updating a master file table of the file system according to the retrieved metadata to map the first files to logical blocks of the file system, updating the master file table to map the second files to additional logical blocks according to the retrieved metadata, and creating a mapping for the additional logical blocks, that is used during an input/output operation, according to the retrieved metadata.

Abstract: Ideogram character analysis includes partitioning an original ideogram character into strokes, and mapping each stroke to a corresponding stroke identifier (id) to create an original stroke id sequence that includes stroke identifiers. A candidate ideogram character that has a candidate stroke id sequence within a threshold distance to the original stroke id sequence is selected. One or more embodiments may create a new phrase by replacing the original ideogram character with the candidate ideogram character in a search phrase. One or more embodiments perform a search using the search phrase and the new phrase to obtain a result, and present the result. One or more embodiments may replace an original ideogram character in a character recognized document with the candidate ideogram character and store the character recognized document.

Abstract: Techniques for processing queries are provided. In one approach, an execution plan for a query includes multiple sub-plans, one or more of which are selected at runtime while one or more other sub-plans are not executed during execution of the execution plan. In another approach, data about misestimate is generated and stored persistently for subsequent queries. In another approach, statistics for a database object are generated automatically and efficiently while the database object is created or data items are added thereto. In another approach, a hybrid histogram is created that includes a feature of frequency histograms and a feature of height-balanced histograms. In another approach, computer jobs are executed in such a way to avoid deadlock. In another approach, changes to a database object trigger a hard parse of a query even though an execution plan already exists for the query.

Abstract: Systems and methods for providing a recommendation are disclosed. A method includes: presenting a first question via a user interface; receiving a response to the first question via the user interface; determining a second question using the received response to the first question and a weighted collection of attributes corresponding to a plurality of items; presenting the determined second question via the user interface; receiving a response to the second question via the user interface; determining at least one recommended item from the plurality of items based on the response to the first question, the response to the second question, and the weighted collection of attributes corresponding to the plurality of items; and presenting the determined at least one recommended item via the user interface.

Abstract: A system, method, and computer-readable medium for identifying music-related data based on message data from a messaging platform. The method includes: obtaining a request from a client; identifying context data associated with the request; identifying message data from the messaging platform based on the context data; selecting, based on the context data and the message data from the messaging platform, music-related data for inclusion in a result set; and providing the result set to the client in response to the request.

Abstract: A method for performing domain adaptation of an end-to-end (E2E) automatic speech recognition (ASR) model. The method includes: obtaining an un-adapted version of the E2E ASR model trained using a first set of transcriptions, the un-adapted version of E2E ASR model including an encoder network, a first prediction network and a joint network; using the first set of transcriptions, while keeping parameters of first prediction network fixed, to train a language model output component to match the first prediction network; using a second set of transcriptions, while keeping parameters of language model output component fixed, to fine-tune the first prediction network for obtaining a second prediction network; and generating an adapted version of the E2E ASR model, wherein the adapted version of the E2E ASR model comprises the encoder network, the second prediction network, the language model output component, and the joint network.

Abstract: Disclosed embodiments provide techniques for computerized technical support. A knowledge graph for a computer application is established. An input query from a user is processed to extract entities used as action identifiers. One or more nodes within the knowledge graph are identified, along with corresponding relationship edges leading to the nodes. When multiple candidate nodes are found that contain information relevant to the input query, a custom clarification statement is created based on the one or more identified relationship edges. The user provides answers to the clarification statement to narrow down which nodes contain the most relevant information. This process may continue, eliminating nodes based on user responses, until a single node remains, corresponding to an action identifier. The action identifier includes action description information that provides technical assistance to a user.

Abstract: Multi-threaded processing of search responses returned by search peers is disclosed. An example method may include transmitting, by a computer system, a search request to a plurality of search peers of a data aggregation and analysis system; receiving, by a first processing thread, a plurality of data packets from the plurality of search peers; parsing, by a second processing thread operating asynchronously with respect to the first processing thread, one or more data packets of the plurality of data packets, to produce a partial response to the search request; splitting the partial response into two or more fields; and generating, based on the two or more fields of the partial response, an aggregated response to the search request.

Abstract: In some examples, a computer system may receive a data object including object data. For example, the system may be one of three or more systems located at different respective geographic locations. The system may determine a plurality of chunks by dividing the object data into a plurality of data chunks based on a total number of the systems and determining a parity chunk. The system may send some of the chunks to the other systems, while maintaining a complete instance of the object data at the first system. The system may associate a time with the object data based on receiving the data object. Additionally, the system may associate a time threshold with the complete instance of the object data. For example, the time threshold may indicate a time at which the complete instance of the object data is to be deleted from the system.

Abstract: Computer implemented methods and systems directed to a technological improvement in electronic data compression and transmission between two computer systems using semantic analysis are disclosed. The method includes the step of compressing, at a first computer, a plurality of queued artifacts based on one or more network decision variables. The compression includes prioritizing the queued artifacts. The compression further includes determining a first set of artifacts in a set of queued artifacts to transmit and a second set of artifacts in a set of queued artifacts to only send links. The compression further includes replacing unnecessary content in the set of queued artifacts with one or more identifiers. The method further includes the step of transmitting, from the first computer, one or more batches of the compressed data over a network to a second computer.

Abstract: A computer-implemented method for storing blockchain data includes: obtaining, by a blockchain node, a first key-value pair corresponding to data to be stored, in which the first key-value pair includes a value of the data to be stored and a first key of the data to be stored; identifying, based on the first key, a corresponding leaf node in a tree data organization structure; and modifying, by the blockchain node, the first key, to update the first key-value pair to obtain an updated key-value pair including the value of the data to be stored and the modified first key, and storing the updated key-value pair into a conflict data storage structure corresponding to the identified leaf node.

Abstract: One embodiment provides a method, including: receiving a query from a user; identifying that a desired definition of the at least one term is unknown, by determining that the at least one term does not map to a term having a known definition; receiving the definition of the at least one term from the user; adding the definition to a domain grammar comprising (i) domain-specific terminology and (ii) definitions corresponding to the terms within the domain grammar, wherein the adding comprises (a) extracting expressions from the requested definition and (b) adding, for the at least one term, the expressions into a structured format within the domain grammar; combining (iii) the requested definition and (iv) terms from the parsed query having previously known definitions into a complete query; and providing a response to the query by executing the complete query on a knowledge store.

Abstract: One or more systems and/or methods of generating a query-goal-mission structure for a set of queries are provided. A set of queries may be evaluated to identify query information for the queries within the set of queries. The queries may be evaluated as query pairs to determine common goal probabilities (e.g., likelihood two queries correspond to a particular goal, such as to identify vacation planning information) for the query pairs. Responsive to the common goal probabilities for the query pairs exceeding a goal probability threshold, the query pairs may be grouped into goal clusters. The goal clusters may be evaluated as goal cluster pairs to determine common mission probabilities. Responsive to the common mission probabilities for the goal cluster pairs exceeding a mission probability threshold, the goal clusters may be grouped into mission clusters. The mission clusters and the goal clusters may be utilized to generate a query-goal-mission structure.