180results about "Web data retrieval" patented technology

The technology described herein relates to systems, methods, and computer storage media, among other things, for providing search query intent specificity. Embodiments may include identifying a search query performed using a search engine and generating a query vector for the search query by aggregating search result embeddings (e.g., item listing vectors) of search results from the search query. Further, in some embodiments, similarities (e.g., cosine similarities) between the query vector and the item listing vectors can be determined. As such, an intent specificity of the search query can be determined. Further, in some embodiments, the intent specificity can be used to train an intent specificity machine learning model for generating intent specificity scores for other search queries. Based on the intent specificity scores determined using the one or more trained intent specificity machine learning models, determinations can be made with respect to precision and recall, etc.

In one embodiment, a method includes detecting a change in context of a computing system to a current context, changing a first registration status of a first set of actions with an assistant system associated with the computing system based on the change in context to the current context, where the first application is in a foreground of a user interface of the computing system, changing a second registration status of a second set of actions with the assistant system based on the change in context to the current context, where the second application is in a background of the user interface of the computing system, updating a list of registered actions for the assistant system based on the changed first and second registration statuses, and storing the updated list of registered actions on the computing system.

The technical solutions of the present disclosure are directed to providing validated responses to form specific user queries using machine learning. A system can include a processor to receive, via a user interface, a query corresponding to an entry of a form and identify a data structure. The processor can generate, using the data structure, a prompt to validate the entries and identify, based on the prompt and the data structure input a ML model, an error in an entry of the plurality of entries of the form. The processor can generate, based on the error and the data structure input into the ML model, a response to the query comprising a proposed correction to the error in the form, and provide, for display via the user interface, the response to the query indicating the error and the proposed correction.

The invention provides a document processing method and system based on a multi-modal large model. According to the method, firstly, a target type document is converted into a target picture based on a multi-modal large model according to a preset document segmentation rule, then structured text information is extracted from the target picture based on a preset cue word and by utilizing an advanced optical character recognition technology PaddleOCR technology, the multi-modal large model is guided to generate a text abstract for each target picture, and the text abstract is extracted from the target picture. And the integrated graphic and text information and the condensed picture content are converted into a Markdown document comprising a picture link of the target picture and text summary information. Through the steps of format recognition, image-text separation, content condensation and the like, a target type document is converted into a format which is easy to manage and retrieve, rapid retrieval of information is achieved by means of RAG retrieval enhancement, and documents and information related to user query can be rapidly found to serve as candidate answers. Compared with a traditional OCR technology, the method has the advantages that the missing rate of key information is remarkably reduced, and the accuracy of document processing is improved.

A method and system for providing web resources having long identifiers through a zero trust network environment. The method comprises receiving a request from a client device to access a web resource through a zero trust network environment, wherein the web resource is external to the zero trust network environment, the request including a first uniform resource locator (URL), and the resource further including a second URL having a first length; fetching the web resource based on the first URL; generating a shortened alternate URL based on at least a portion of the second URL, in response to determining that the first length exceeds a predetermined threshold; generating an alternate resource, the alternate resource including the shortened alternate URL replacing the second URL; and providing the alternate resource to the client device.

Methods for product recommendation are provided. This includes collecting personal user data including profession, gender, size, preferences, user's apparel size, user's address, who the user's friend are, user's friends' information, users' medical records including eyeglass and contact lens prescription information; collecting vendor data including product size, product description, product location, price; and recommending vendor products that best match the users' personal data.

Data processing systems and methods, according to various embodiments, are adapted for determining an applicable privacy policy based on various criteria associated with a user and the associated product or service. User and product criteria may be obtained automatically and / or based on user input and analyzed by a privacy policy rules engine to determine the applicable policy. Text from the applicable policy can then be presented to the user. A default policy can be used when no particular applicable policy can be identified using by the rules engine. Policies may be ranked or prioritized so that a policy can be selected in the event the rules engine identifies two, conflicting policies based on the criteria.

Method comprising: receiving an input requesting (IBR) for brief information (IB) at an electronic device having a display in an inactive state, the input comprising a designation of a topic and a trigger that causes the electronic device to open a screen of IB content that temporarily presents specific information corresponding to the topic; in response to receiving the IBR input: calling the IB content screen with content that includes at least one of the specific information; presenting the screen with IB content on the electronic device; monitoring an elapsed presentation time for the IB content screen on the electronic device; comparing the elapsed presentation time with a time limit allocated for the presentation of the screen with IB content; and closing the screen with IB content and returning the display to the inactive state in response to the expired time limit.

A method for data-driven hazard risk control comprises at least the following steps: capturing usage data (14) of a user terminal (E1); and generating at least one risk data record (22, 28, 34) on the basis of the usage data (14), wherein the at least one risk data record (22, 28, 34) represents a hazard risk for a user of the user terminal (E1).

The described technology relates to integrating events electronically scheduled in enterprise web applications and other event applications. A capability is provided for events created by an enterprise web application and events from other external event streams to be presented in a consolidated calendar in the enterprise web application. Capabilities are also provided for sharing the calendar among enterprise users and non-enterprise users, and for efficiently generating the shared calendar.

A method and system employing a rich short message service application (RSAPP) for creating and transmitting a rich message are provided. The rich message includes a message and a brand identity. The RSAPP receives a request to send a short message service (SMS) message to a mobile number of a user (MNU). The RSAPP processes the request to send the SMS message and determines whether the MNU is enabled on one or more rich messaging channels (RMCs). Upon determining that the MNU is enabled on the RMCs, the RSAPP creates and transmits the rich message to the MNU on the enabled RMCs. Upon determining that the MNU is not enabled on the RMCs, the RSAPP confirms whether a setting specifies transmission of the received SMS message to the MNU as a SMS message if the MNU is not enabled on the RMCs. and the RSAPP transmits the received SMS message as a SMS message to the MNU.

Techniques described herein relate to systems, methods, and computer storage media for providing search query intent specificity. Embodiments may include identifying a search query executed using a search engine and generating a query vector for the search query by aggregating search results from the search query by a search result embedding (e.g., an item list vector). Furthermore, in some embodiments, a similarity (e.g., cosine similarity) between the query vector and the item list vector may be determined. In this way, the intention specificity of the search query can be determined. Further, in some embodiments, intent specificity may be used to train an intent-specific machine learning model for generating intent-specific scores for other search queries. Determinations may be made for accuracy and recall, among other things, based on intent-specific scores determined using the one or more trained intent-specific machine learning models.

The invention relates to the technical field of data processing, can be applied to business scenes of financial science and technology, medical health and the like, and discloses a business product processing method, device, equipment and medium based on data integration. Connecting a service system by using a data integration mechanism, and collecting and analyzing multi-dimensional data; and optimizing an operation strategy of the product based on an analysis result, and synchronizing the optimized strategy to a service system through a data integration mechanism. Through centralized management of key information and real-time data acquisition and analysis, the transparency and integration efficiency of information are improved, it is ensured that product design can quickly respond to market changes, product strategies are optimized, the cross-department data sharing capacity is improved, and finally efficient and flexible product adjustment is achieved.

A method and system for securing an anonymous discovery service may include receiving a request from a client device, the request being directed to an anonymous Autodiscover service, identifying a source from which the request originated from within the client device, and responsive to the source being of a first type of sources, transmitting a first response to the client and responsive to the source being of a second type of sources transmitting a second response to the client. The first response does not return a Uniform Resource Locator (URL) to a service endpoint, the second response returns a URL to a service endpoint. Furthermore, the anonymous discovery service may be a discovery service that requires no authentication.

According to embodiments of the present disclosure, methods, apparatuses, devices and storage media for information interaction are provided. The method comprises: in response to detecting that a digital assistant is triggered for an interaction event based on a first webpage; providing a first link of the first webpage or content in the first webpage to a webpage plug-in, the webpage plug-in being configured to perform a webpage processing task; and in an interaction window of a user and the digital assistant, utilizing the webpage plug-in to perform the interaction of the user and the digital assistant based on the content in the first webpage. In this way, the webpage plug-in can be utilized, so that the digital assistant can obtain content in a third-party webpage and perform interaction based on the content, which not only expands the application scenarios of the digital assistant, but also helps to reduce the difficulty and complexity of the interaction between the user and the digital assistant, and improves the efficiency of the interaction.

Systems and methods for identification and retrieval of content for visual search are provided. An example method includes receiving data specifying a digital supplement. The data may identify a digital supplement and a supplement anchor for associating the digital supplement with visual content. The method may also include generating a data structure instance that specifies the digital supplement and the supplement anchor and, after generating the data structure instance, enabling triggering of the digital supplement by an image based at least on storing the data structure instance in a database that includes a plurality of other data structure instances. The other data structure instances may each specify a digital supplement and one or more supplement anchors.

This invention discloses a new source evaluation method for internet technology information, belonging to the field of new source evaluation technology. To address the problems in existing technologies, such as users struggling to quickly find valuable information from a large volume of technology news, significant differences in information quality between different sources, and the lack of an effective source evaluation system, which prevents users from filtering information based on source reputation, this new source evaluation method for internet technology information effectively improves information acquisition and processing efficiency, ensures content quality and credibility, enhances readability and usability through sentiment analysis, topic classification, and relevance calculation, supports users in making informed decisions, promotes a virtuous cycle in the information ecosystem through multi-dimensional considerations in the evaluation system, and dynamically optimizes source evaluation through a user feedback mechanism, enabling personalized content recommendations, meeting user needs, and improving satisfaction.

Systems, methods and computer readable media comprising a virtual exercise board, which is represented by images on the screen of a pad device; wearable devices configured to attach to each shoe of a user and to collect and transmit touch data to the pad device; cameras for tracking movement and calibrating with the data collected by the wearable devices; and computer programs for collecting user data, processing user data, and generating outputs. In embodiments, features include augmented reality; ratings of performance; automated workouts / protocols; real-time progress bar; multi-location database capabilities; and reports.

In an example, sets of event information associated with events may be identified. The events may include intentional click events, accidental click events and / or skip events. Accidental click probabilities associated with the accidental click events and / or the skip events may be determined. Machine learning model training may be performed, using the sets of event information associated with the events and labels associated with the events, to generate a first machine learning model. The labels may include second labels associated with the intentional click events and / or third labels associated with the accidental click events and / or the skip events. The second labels may correspond to an intentional click classification. The third labels may be based upon the accidental click probabilities. Click probabilities associated with content items may be determined using the first machine learning model. A content item may be selected for presentation via a client device based upon the click probabilities.

Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for generating a teacher training set of specifically tagged query-to-document scores for training a teacher model using a large language model (LLM). The teacher model is in turn used to generate a student training set of specifically tagged query document scores for training student models. The student model is integrally trained to predict performance of the query for the login page using the student model-specific training set and at least one other student model training set that does not quantify the query to the login page-specific deviation.

A method for providing one or more customized experience to a user profile associated with an application is disclosed. The method comprises querying a key-value pair store for retrieving a key-value pair associated with the user profile. The retrieved key-value pair is loaded into a first memory. Further, one or more segment definitions for the one or more segments are received from a second memory. The one or more segment definitions are based on at least one of the user profile, user behaviour, user transaction on the application, user interaction with the application, and user subscription. Further, the one or more segment definitions and the one or more user events are evaluated in the first memory. The customized experience is provided to the user profile within sub-second latency and the customized experience is updated based on change in the one or more user events associated with the user profile.

A method for providing printing services to a local network is described. The method includes receiving, at an electronic device, an indication from a server outside a local network to run a service manager. The method also includes running the service manager on the electronic device. The method also includes receiving, at the electronic device, an indication to run one or more printing services on the local network based on one or more printing service settings. The one or more printing services communicate at regular intervals with the server to determine whether the printing service settings have been reconfigured or updated.

A cognitive platform (CP) system (102) is described The CP system (102) is configured to receive cell plan data from a web service store the cell plan data in one or more CP database servers (114) and transmit the cell plan data to an unstructured data storage function (UDSF) system (104). The UDSF system (104) is configured to process the cell plan data, store the processed cell plan data in one or more UDSF database servers (120), and transmit the processed cell plan data to a self-organizing network (SON) system (106). The SON system (106) is configured to automatically execute one of cell management function based on the processed cell plan data, while maintaining a continuous feedback loop with the CP system (102) and the UDSF system (104). The SON system (106) performs at least one of updates and adjustments to network parameters.

The present disclosure relates to systems, non-transitory computer-readable media, and methods for generating graphic design layouts using a machine learning model to modify a layout according to content conditions. For example, the disclosed systems receive, from a client device, one or more content conditions defining parameters for generating design layouts. In some embodiments, the disclosed systems generate a set of fused features from the one or more content conditions. In certain embodiments, the disclosed systems encode, utilizing a machine learning, a content-conditioned layout embedding from the set of fused features. In some embodiments, the disclosed systems generate, from the content-conditioned layout embedding utilizing the machine learning model, a design layout comprising layout parameters defined by the one or more content conditions.

The application relates to the field of Fintech, and discloses a rule analysis method and a rule analyzer. The rule analyzer extracts variables from a webpage request received in front end based on user triggering. If the rule analyzer determines that a first to-be-verified variable is extracted, the rule analyzer matches a target rule with the same name as the first to-be-verified variable from a rule library, and obtains first to-be-verified data of the first to-be-verified variable in the webpage request. The rule library is obtained by configuring each to-be-verified variable set, and the rule library includes multiple rules. Any rule includes a to-be-verified variable and a compliance syntax specification for defining a variable value of the to-be-verified variable. The rule analyzer verifies the first to-be-verified data based on the target rule. The scheme can verify the compliance of various types of data entering various business systems without writing rules in a declarative manner in business code.

The disclosure describes a method of generating a target profile including the target's sequence of events (SOE) for a task. Such target profile sequence of events is derived from several source group's transactions, where any source group's transactions cannot be shared with other source groups but the derived target group's profile is the only information that is shared. Source-side information is periodically extracted for a plurality of sources that each interact with a plurality of targets. The information includes source stages, resources, and stage transition events for a task with a target. Source information is used to generate a set of normalized stages, and a set of normalized events for transitioning between the stages of the set of normalized stages. An artificial intelligence (AI) model is trained using the source information. The AI model can generate a target profile with target process information inferred using the trained model. The target process information can include the target's identifiers for each stage, an estimated duration of the stage, deliverables for the stage, and one or more stage transition events for the stage.

A method and system for securing an anonymous discovery service may include receiving a request from a client device, the request being directed to an anonymous Autodiscover service, identifying a source from which the request originated from within the client device, and responsive to the source being of a first type of sources, transmitting a first response to the client and responsive to the source being of a second type of sources transmitting a second response to the client. The first response does not return a Uniform Resource Locator (URL) to a service endpoint, the second response returns a URL to a service endpoint. Furthermore, the anonymous discovery service may be a discovery service that requires no authentication.