Abstract: A method for domain name detection, a device and a storage medium are provided. The method includes: matching a to-be-detected domain name with a preset domain name set; in response to the to-be-detected domain name being not in the preset domain name set, calculating an edit distance between at least part of level domain names of the to-be-detected domain name and a preset domain name keyword in a domain name keyword set; in response to an edit distance between a target level domain name and a target preset domain name keyword being smaller than preset distance threshold, acquiring a character pair in which the target level domain name differs from the target preset domain name keyword, and matching with a similar character pair set; and in response to determining the character pair being in the similar character pair set, determining that the to-be-detected domain name has a security risk.

Abstract: In various embodiments, a natural language (NL) application receives a first incomplete natural language (NL) request, and generates one or more request completion recommendations based on at least the first incomplete NL request and a first recommendation model, where the first recommendation model is generated via a machine learning algorithm applied to a first data dependency model and a first request completion model. The NL application receives a selection of a first request completion recommendation included in the one or more request completion recommendations, generates a complete request based on the first incomplete NL request and the first request completion recommendation, and causes the complete request to be applied to the data storage system.

Abstract: A computer-implemented method includes receiving a natural language input including a natural language request for executing an analytical task and processing the natural language input by a language model, where the processing may include translating the natural language input to an analytical function call for calling an analytical function of a set of distinct analytical functions of an analytics computing server. Additionally, the computer-implemented method includes calling the analytical function at the analytics computing server using the analytical function call, receiving a technical output in response to calling the analytical function, and outputting a response to the natural language input that includes the technical analytical output.

Abstract: This disclosure improves computer functionality by enabling various hierarchies of chatbot application programs operative based on data structures containing unstructured texts. Therefore, such hierarchies enable some chatbot application programs to manage other chatbot application programs, which improves virtual assistance, reduces programming efforts, customizes output by user types, and enhances process management.

Abstract: A method and system for providing a video query are disclosed. The method includes acquiring context information, training a first machine learning (ML) model using historical data of the software life cycle tool, and removing, by the first ML model, noise from the context information for generating a query including at least one keyword. Once the query is generated, executing, by a second ML model, the query to retrieve at least one video segment from a learning repository. Scoring and ranking is then performed on the at least one video segment. The ranked video segment is then transmitted, to the user interface of the software life cycle tool, and displayed in an ad-hoc manner.

Abstract: Methods and systems for managing the automated retrieval, aggregation, and selection of virtual machines, virtual disks, and electronic files using an integrated data management and storage system are described. In some cases, the integrated data management and storage system may acquire a query with search criteria to identify a set of objects accessible via the integrated data management and storage system, determine the set of objects that satisfies the search criteria, determine a first subset of the set of objects less than all of the set of objects to render, render and display a listing of the first subset, determine a selection of a first plurality of the first subset, and initiate concurrent actions on the first plurality using the integrated data management and storage system. The size of the first subset may vary over time and be determined based on prior user feedback.

Abstract: A computing device can obtain usage data associated with the device. The usage data indicate how the computing device operates or how the device is used. The device can analyze the usage data to recognize usage patterns. The usage patterns can correspond to recurring actions or tasks initiated by the user using the device, such as actions or tasks initiated due to the user's habits and/or routines. Based on the usage patterns, the device can determine a task that has a sufficient likelihood of being performed using the device within a specified or determined time (e.g., 5 minutes from now, one year from now, etc.). The device can provide information (e.g., recommendations) associated with the task, and likely relevant to the user. The user can use the provided information to perform the task, thereby increasing the ease of access or efficiency associated with performing the task.

Abstract: A travel destination retrieval system using a coloration-based spatial information database includes a data collection unit configured to collect image data from a user terminal, a coloration extraction unit configured to analyze the collected image data to extract representative coloration information, an ID generation unit configured to generate representative ID information related to the representative coloration information, a travel destination information generation unit configured to generate travel destination information corresponding to the representative coloration information and the representative ID information, a data fusion unit configured to generate coloration space information by mapping the representative coloration information, the representative ID information, and the travel destination information to the image data, a data storage unit configured to store the generated coloration space information, and a travel destination information output unit configured to output recommended trave

Abstract: Aspects of the present disclosure involve a system comprising a computer-readable storage medium storing a program and method for displaying a profile from a content feed within a messaging system. The program and method provide for receiving by a messaging application, first user input corresponding to a request for a content feed, the content feed comprising a plurality of media content items; providing, in response to receiving the first user input, for display of the content feed; receiving, by the messaging application, second user input of a predefined gesture performed with respect to a first media content item of the plurality of media content items; determining, in response to receiving the second user input and based on the first media content item, to display a public profile associated with the first media content item; and providing, based on the determining, for display of the public profile.

Abstract: The present disclosure provides systems and methods for low-latency provision of content. The method includes receiving one or more signals indicating a current location of a client device; before receiving an input query from a map application of the client device, retrieving characteristics of the client device; and generating a set of identifications, the set of identifications including the current location of the client device, and the characteristics of the client device. The method further includes determining that a query prediction exceeds a threshold; responsive to the determination that the query prediction exceeds the threshold, selecting a link to a geographic location of an entity that is associated with the query prediction; and, responsive to a selection of a map application on the client device by a user, transmitting the selected link to the client device before receiving a query from the user of the client device.

Abstract: An apparatus for determining cluster pairs, the apparatus comprising a processor and a memory communicatively connected to the processor, the memory containing instructions configuring the processor to receive a first attribute cluster, classify the first attribute cluster to one or more descriptors, generate a first cluster profile as a function of the classification, wherein the first cluster profile comprises a degree of intensity of each descriptor of the one or more descriptors, and determine a complementary cluster profile as a function of the first cluster profile comprising receiving a plurality of complementary cluster profiles from a database and selecting one complementary cluster profile from the plurality of complementary cluster profiles.

Abstract: A system and method for validating cybersecurity issues utilizing runtime data is disclosed. In an embodiment the method includes: inspecting a workload deployed in a computing environment for a cybersecurity issue; deploying a sensor on the workload, the sensor configured to collect runtime data from the workload; initiating a first mitigation action with a first priority in the computing environment in response to validating the cybersecurity issue from the collected runtime data; initiating a second mitigation action with a second priority, which is lower than the first priority, in response to failing to validate the cybersecurity issue from the collected runtime data.

Abstract: Methods, systems, and apparatus for receiving user input that invokes digital assistant functionality; obtaining screen data indicating content displayed on a screen of the computing device; determining a classification for an entity referenced in the content indicated by the screen data; determining a suggested request that refers to the entity based on the determined classification; and providing the suggested request in response to receiving the user input that invokes the digital assistant functionality.

Abstract: One or more computing devices, systems, and/or methods are provided. In an example, an internet resource identification item associated with one or more internet resources may be identified. User activity information associated with a plurality of events may be analyzed to determine a plurality of sets of text associated with the internet resource identification item, wherein each set of text of the plurality of sets of text is associated with an event, of the plurality of events, associated with an internet resource of the one or more internet resources. A plurality of term representations may be determined based upon the plurality of sets of text. A user intention-based representation associated with the internet resource identification item may be generated based upon the plurality of term representations. A content item may be selected for presentation via a client device based upon the user intention-based representation.

Abstract: Provided are a query rewriting method and apparatus, a device and a storage medium, relating to the technical field of data processing and, in particular, to technical fields including artificial intelligence, speech technology, intelligent search and deep learning. The solution includes, in response to a query rewriting request, extracting at least one of context information of an original query and intention information of the original query; and determining a new query based on a machine vocabulary collection and the at least one of the context information and the intention information. The understanding degree to the new query by a machine is greater than the understanding degree to the original query by the machine.

Abstract: Websites, having associated features, are clustered by filtering entries that may be legitimate, determining feature similarity scores between the website features, and generating an aggregated similarity matrix containing website similarity scores between the websites. Websites are clustered into clusters or groups, based in part on the aggregated similarity matrix. Each cluster is identified by a cluster identifier and represents a centroid website and other websites at a normalized similarity score from the centroid. It is determined for each website whether the normalized similarity score is less than a threshold, and if so is identified as weakly-similar. Above the threshold, the website is labelled with the cluster identifier. Further clustering and thresholding is performed on the weakly-similar websites into additional clusters.

Abstract: Systems, methods, and machine-readable storage devices provide for identifying a user dataset on a distributed database. The system includes generating a similarity score dataset that indicates a similarity between the user dataset and a plurality of datasets of other users of the distributed database. The system generates a plurality of overlap queries that are configured to output overlap datasets between the user dataset and one or more of the plurality of datasets. The system further generates a results dataset by applying one or more of the plurality of overlap queries to a joined dataset comprising data from the user dataset and one of the plurality of datasets of other users on the distributed database.

Abstract: Systems and techniques are generally described for detecting evasive terms in item listings. In some examples, a list of keywords associated with a first category of specified items may be received. In some examples, text data associated with a first item may be received. A first plurality of tokens representing a corrected version of the text data may be generated using spell correction techniques. In some cases, first flag data indicating that the text data constitutes evasive text may be generated based at least in part on the generation of the first plurality of tokens. The first flag data and a numerical representation of the first plurality of tokens may be input into a binary classifier trained to generate label data indicating whether text data associated with a given item is evasive or non-evasive. The binary classifier may generate label data indicating that the text data associated with the first item is evasive.

Abstract: One example method includes identifying dissimilar items in a data set. A data set may be walked one or more times and the nodes or vertices of the data set may be scored based on the number of times the nodes are touched during the walks. Scores below a threshold score are determined to be dissimilar nodes in the data set. This allows a diverse set of nodes to be identified. A dissimilar data set may be used to prevent unintentional bias in algorithmic training.

Abstract: Technologies are described here for, among other things, improving search query relevance by executing a query on a search engine, retrieving search-page-data generated from executing the query, the search-page-data including document-titles and universal resource locators (URLs), each document-title being a title of a document associated with a URL, determining relevant-entity-words in the query from an entity relevance score for matching search terms in the query, Domain-URLs, and Domain-Titles, determining relevant-intent-words in the query from an intent-word relevance score based on a number of times a search term appears in the query and the URLs relative to other search terms in the query and the URLs, comparing each of the determined relevant-entity-words and each of the determined relevant-intent-words with a plurality of stored past-user queries, retrieving the plurality of stored past-user search queries including the relevant-entity-words and the relevant-intent-words, and transmitting a set of qu

Abstract: A system and method for optimizing industrial assembly process in an industrial environment is disclosed. A system operates on artificial intelligence (AI) based conversational/GUI platform, where it receives user commands related to industrial assembly process improvement queries. By analyzing received user commands, system identifies type of industrial assembly process mentioned by extracting relevant keywords or other attributes. Using trained AI-based classification table, system determines performance attributes associated with identified type of process. The system leverages various sources such as domain knowledge, organization-specific knowledge bases, data from tools/internet-based services, and statistical measurements from industrial environment.

Abstract: A response generating apparatus (10) includes an acquiring unit (40) that acquires input information that is a trigger for generating a response with respect to a user and context information that is information indicating a situation of the user and a response generating unit (50) that generates, based on the context information acquired from the user, a response associated with the input information.

Abstract: Within an advertising buying platform, advertising buyers are able to direct advertising content to TV/OTT/VOD inventory that matches targeted market segments. The advertising buyers select from a list of available market segments, and the system pairs the market segments to an anonymous dataset of media consumers (using a database of hashed online IDs). The dataset of hashed online IDs is then mapped to external OEM IDs (such as from a Smart TV) via the functions of a hashed identity mapping method. This permits the advertiser to target advertising content to a population of TV viewers. Also described herein are methods of bidding on programmatic TV content.

Abstract: A system for generating similarity data for different datasets in a cloud data platform. A first dataset of a plurality of datasets on the cloud data platform is identified, where the first dataset is associated with a first user of the cloud data platform. A semantic type for each feature the first dataset is identified, and each semantic type for the first dataset is compared with existing data of the first user. Semantic types for each feature of each dataset are identified, and each semantic type for the first dataset is compared to each semantic type of each dataset. Overlap requests are generated to output overlap datasets between the first dataset and each of the plurality of datasets. A results dataset is generated by applying the overlap requests to a joined dataset comprising data from the first dataset and data from each of the plurality of datasets.

Abstract: A method, an apparatus, an electronic device and a storage medium for training a user click model, which relate to the artificial intelligence field, are disclosed. is the method may include: collecting a plurality of pieces of behavior data from a log database of users on a network, each piece of behavior data including a user's feedback information regarding resources in the network within a preset time period; generating a plurality of resource access features respectively corresponding to the plurality of pieces of behavior data, based on a pre-created header resource library and the plurality of pieces of behavior data; and training the user click model with the plurality of resource access features. The technical solution provides a lossless modeling manner which, compared to the existing modeling manners, may effectively optimize the precision and improve the accuracy of the user click model.

Abstract: One or more computing devices, systems, and/or methods are provided. In an example, an internet resource identification item associated with one or more internet resources may be identified. User activity information associated with a plurality of events may be analyzed to determine a plurality of sets of text associated with the internet resource identification item, wherein each set of text of the plurality of sets of text is associated with an event, of the plurality of events, associated with an internet resource of the one or more internet resources. A plurality of term representations may be determined based upon the plurality of sets of text. A user intention-based representation associated with the internet resource identification item may be generated based upon the plurality of term representations. A content item may be selected for presentation via a client device based upon the user intention-based representation.

Abstract: Consolidation of disparate data source queries is provided. An application intake component can receive an application package file, and process the file to identify one or more actions and entities for the application. A natural language processor component can receive an input audio signal to identify an action and an entity on which to perform the action. An application delivery component can identify applications that can perform the action and applications that have access to the entity, and then select an application that is configured to perform the action on the entity. The application delivery component can provide an indication of the application selected by the system to a client device.

Abstract: Systems, methods, and other embodiments associated with defining an adaptive polymorphic object agnostic conversational interaction model are described. In one embodiment, a computer-implemented method includes separating a conversational user input query into component structural entities using a semantic processor; constructing a data query based at least on the component structural entities, metadata describing one or more of the component structural entities, a query paradigm, and a current contextual state; transmitting the data query to a data provider for execution; and presenting the data query results through a user interface.

Abstract: Techniques are described herein for generating, editing, and optimizing queries using neural networks. In some embodiments, the techniques include training a neural network using a set of performant database queries to automatically learn patterns between different sequences of tokens in performant queries. Once trained, the neural network may receive an incomplete query as input, where the incomplete query includes one or more query tokens. The trained neural network may then perform next token prediction to project a set of one or more additional query tokens that may follow the one or more query tokens in the incomplete query to form a completed, performant query.

Abstract: A device implementing a system for limiting the scope of a search includes a processor configured to, receive, by a first application, first user input including at least a portion of a first search term, and to determine that a second application corresponds to the first search term. The processor is further configured to display a graphical element for activating a search filter that limits search results to content of the second application, and to receive second user input including selection of the graphical element. The processor is further configured to send, to the second application, a search request including at least one of the first search term or a second search term, to receive, from the second application, a completion suggestion or search result based on a search performed on the content of the second application, and to provide the completion suggestion or search result.

Abstract: A method includes: repeatedly executing a first processing configured to generate, in response to input of conversion examples of values set, a conversion program for converting values of records, convert the values of the records by executing the conversion program, and display a conversion result; and executing a second processing configured to select one or more second records from the records, each of the one or more records being a record on an upper side of a first record, the first record being a record for which a conversion example is added in second or subsequent input, determine whether a value of each second record is changed in a latest conversion result from a previous conversion result, and in response that a value of the second record is changed, cause the first processing to highlight a value of the second record in display of the latest conversion result.

Abstract: Example embodiments of the present disclosure include a system comprising a computer-readable storage medium storing at least one program and a computer-implemented method for providing a dynamic content delivery search system. In example embodiments, entry of a first keyword of a search string comprising a plurality of keywords is detected. The first keyword is identified after entry of the first keyword and prior to entry of a second keyword of the search string. A first set of matching results that match the identified first keyword is determined. Entry of the second keyword is detected and the second keyword identified. Using the second keyword, the first set of matching results is refined. The resulting search results are presented to a user.

Abstract: An online concierge system may determine recommended search terms for a user. The online concierge system may receive a request from a user to view a user interface configured to receive a search query. The online concierge system retrieves long-term activity data including previous search terms entered by the user while searching for items to add to an online shopping cart. For each previous search term, the online concierge system retrieves categorical search terms corresponding to one or more categories to which the previous search term was mapped. The online concierge system determines a set of nearby categorical search terms and sends, for display via a client device, the set of nearby categorical search terms as recommended search terms.

Abstract: A method of propagating annotations of content items to a search query is disclosed. A strength of a correspondence between a search query and a listing of an item on a network-based publication system is determined. The strength of the correspondence is based on an analysis of a set of actions by a set of users who submitted the search query. A set of annotations is generated. The set of annotations is propagated to a search engine and used to enhance search results.

Abstract: A network device (e.g., a user's mobile phone) may be used to make a telephone call to a landline telephone associated with a client device (e.g., a business's device). If the telephone call is terminated, either the network device or the client device may generate a text message to the other and establish a communication session. The client device may present a variety of options to the network device of service requests that may be completed by text message. The network device may transmit the service request and the service request may be fulfilled by the client.

Abstract: The subject matter of this specification generally relates to preventing the distribution of forbidden network content. In one aspect, a system includes a front-end server that receives content for distribution over a data communication network. The back-end server identifies, in the query log, a set of received queries for which a given forbidden term was used to identify a search result in response to the received query even though the given forbidden term was not included in queries included in the set of received queries. The back-end server classifies, as variants of the given forbidden term, a term from one or more queries in the set of received queries that caused a search engine to use the given forbidden term to identify one or more search results in response to the one or more queries and prevents distribution of content that includes a variant.

Abstract: Methods, systems and programming for providing query suggestions based on user feedback. In one example, a prefix of a query is first received. An input including a prefix of a query is received from a user in a search session. A plurality of query suggestions are fetched based on the prefix of the query. Rankings of the plurality of query suggestions are determined based, at least in part, on the user's previous interactions in the search session with respect to at least one of the plurality of query suggestions. The at least one of the plurality of query suggestions has been previously provided to the user in the search session. The plurality of query suggestions are provided in the search session based on their rankings as a response to the input.

Abstract: A method of generating content information that matches at least one stored keyword is described. At least one keyword associated with content information is stored. At least one previously searched keyword in a search record is matched with the at least one stored keyword associated with the content information. First-category mapping data is generated based on a first mapping between the matched at least one stored keyword and the at least one previously searched keyword. Second-category mapping data is generated based on the content information and the at least one stored keyword. A received target keyword is determined to be included in the first-category mapping data. In response to the received target keyword, which is included in the first-category mapping data, circuitry of a terminal searches for the content information associated with the target keyword in the second-category mapping data and displays the content information.

Abstract: A method of content production (e.g., content editing) using content modeling to facilitate content production. In one embodiment, an automated process is configured to render content. For a given content portion, and as the given portion is being rendered, the portion is processed to generate a content model. With respect to a concept expressed in or otherwise associated with the content, the system compares the content model with a target content derived model to generate a relevancy score. The target content derived model is generated by (a) identifying a set of target content portions in which the concept is expressed, (b) generating from each content portion an associated target content model; and (c) performing a vector operation on the associated target content models. Preferably, each associated target content model is built using an Artificial Intelligence (AI)-based content analysis. The relevancy score is used to generate a content production recommendation.

Abstract: A resource link engine may aggregate, from one or more communication services, data including a plurality of messages exchanged between a plurality of users. The resource link engine may compute, for each resource link included in the plurality of messages, a first relevance score of the resource link for a user and/or a second relevance score of the resource link for a group of users including the user. The resource link engine may identify, based on the first relevance score and/or the second relevance score, one or more resource links relevant to the user. In response to detecting the user interacting with a browser at a device, the resource link engine may provide, to the device, the resource links identified as being relevant to the user. Related systems, methods, and articles of manufacture, including computer program products, are provided.

Abstract: Methods, systems, and computer readable media related to generating a combined search query based on search parameters of a current search query of a user and search parameters of one or more previously submitted search quer(ies) of the user that are determined to be of the same line of inquiry as the current search query. Two or more search queries may be determined to share a line of inquiry when it is determined that they are within a threshold level of semantic similarity to one another. Once a shared line of inquiry has been identified and a combined search query generated, users may interact with the search parameters and/or the search results to update the search parameters of the combined search query.

Abstract: A resource search method and a related product. The method comprises: receiving a search request sent by a mobile terminal, the search request including a target search word; searching in a preset application library based on a first search algorithm and the target search word to obtain a first search result set; when a conversion rate of the target search result set is less than a first preset threshold, searching in the preset application library based on a second search algorithm and the target search word to obtain a second search result set; performing merge according to the first search result set and the second search result set to obtain a third search result set; and pushing the third search result set to the mobile terminal and instructing the mobile terminal to display the third search result set.

Abstract: A system includes a network interface configured to access an enterprise data warehouse and an enterprise abbreviation list that maps enterprise terms to abbreviations. A processing device can communicate with the network interface and a memory device that stores instructions to analyze the enterprise data warehouse to determine name attribute scores based on occurrences of the enterprise terms and the abbreviations in the enterprise data warehouse. Execution of the instructions can also generate a scoring summary of phrases, apply fuzzy reasoning logic to identify one or more relationship patterns and weights for the phrases including at least one shared word to produce training data for a data model associated with the enterprise data warehouse, and update the data model with a new abbreviated field name associated with a new field name based on identifying a closest match of the new field name with the training data.

Abstract: A messaging system automatically populates a stream of messages using only a seed selected by the requesting account holder. In one embodiment, the seed includes the streams of one or more of the “top” accounts of the messaging system . Here, “top” is according to any one of a number of different metrics stored in the messaging system. With knowledge of the seed, the messaging system automatically populates a stream for the requesting account holder, without requiring any other input. As a result, an account holder is provided with a fully functioning stream with very little effort or knowledge required on their part.

Abstract: A neural network machine translation method comprises: obtaining a to-be-translated source sentence; converting the source sentence into a vector sequence; determining candidate objects corresponding to the vector sequence according to a prefix tree which is pre-obtained and built based on a target sentence database, and determining a target sentence as a translation result according to the candidate objects.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for determining a plurality of sibling search queries for an input search query. In one aspect, a method comprises: receiving an input search query that satisfies a context template comprising a sequence of one or more words and a wildcard, wherein a wildcard represents variable data, wherein the input search query satisfies the context template and comprises a target word sequence that corresponds to the wildcard in the context template; and determining a plurality of sibling search queries for the input search query, wherein each sibling search query satisfies the context template and comprises a sibling word sequence that corresponds to the wildcard in the context template.

Abstract: A messaging system automatically populates a stream of messages using only a seed selected by the requesting account holder. In one embodiment, the seed includes the streams of one or more of the “top” accounts of the messaging system. Here, “top” is according to any one of a number of different metrics stored in the messaging system. With knowledge of the seed, the messaging system automatically populates a stream for the requesting account holder, without requiring any other input. As a result, an account holder is provided with a fully functioning stream with very little effort or knowledge required on their part.

Abstract: Systems and methods for recommending a media asset relating to a character unknown to a user are provided herein. The systems and methods may receive a first media asset viewed by a user, determine a first character in the first media asset, and include the first character in the character viewing profile for the user. Further, the systems and methods may receive a second media asset, including the first character, determine that a second character appears in the second media asset, and determine that the second character is not in the character viewing profile. The systems and methods may recommend a third media asset to the user for the second character.

Abstract: A system to collect and store in a special data structure arranged for rapid searching massive amounts of data. Performance metric data is one example. The performance metric data is recorded in time-series measurements, converted into unicode, and arranged into a special data structure having one directory for every day which stores all the metric data collected that day. The performance metric data is collected by one or more probes running on machines about which data is being collected. The performance metric data is compressed prior to transmission to a server over any data path. The data structure at the server where analysis is done has a subdirectory for every resource type. Each subdirectory contains text files of performance metric data values measured for attributes in a group of attributes to which said text file is dedicated. Each attribute has its own section and the performance metric data values are recorded in time series as unicode hex numbers as a comma delimited list.

Abstract: Methods, systems, and computer program products for software-defined database replication for a plurality of databases. Labels are applied to each of the plurality of databases and linking rules including conditions relating to the labels are used to define database replication links.