39 results about "Web searching" patented technology

The invention relates to the technical field of artificial intelligence and education, and discloses an AI Agent technology-based college entrance examination voluntary reporting intelligent consultation system, which comprises a multi-Agent cooperation module, a domain knowledge graph module, a natural language processing module and a multi-source database module. According to the college entrance examination voluntary reporting intelligent consultation system based on the AI Agent technology, a college entrance examination consultation domain knowledge graph is constructed based on a Neo4j graph database through the domain knowledge graph module, the relationship between entities such as schools and majors and admission batches is stored, multi-dimensional association is efficiently processed through an entity relationship network, university and Major Recovery Agent of the multi-Agent cooperation module is combined with the knowledge graph to screen the schools and the majors, and the college entrance examination voluntary reporting intelligent consultation system based on the AI Agent technology is obtained. The Check Agent verifies data, the Web Search Agent supplements real-time information, and the problems that a traditional database is low in complex relation processing efficiency and cannot recommend in real time are solved.

A user input data is received. The user input data is used as an input to a knowledge retrieval engine configured to generate in response to the input a generated response that is derived at least in part from a set of proprietary data. The generated response is used to generate a set of web search results.A user input data is received. The user input data is used as a first input to a first knowledge retrieval engine configured to generate in response to the first input an intermediate response that is derived at least in part from a set of proprietary data. The intermediate response is used as a second input to a second knowledge retrieval engine configured to generate in response to the second input a generated response that is derived at least in part from the set of proprietary data.

An object of the system according to the embodiment is to easily recognize a specific target in an image captured by a camera of a smartphone and to quickly perform a WEB search.SOLUTION: A system includes an image acquisition unit, an object recognition unit, a search execution unit, and a search result display unit. The image acquisition unit acquires an image captured by a camera of a smartphone. The object recognition unit recognizes a specific object in the image acquired by the image acquisition unit by touching the object with a finger. The search execution unit executes a web search based on the target object recognized by the target object recognition unit. The search result display unit displays the search result acquired by the search execution unit.SELECTED DRAWING: Figure 1

The present invention generally relates to the field of taxonomy identification. Identifying product taxonomy from a product abbreviation is currently performed manually and consumes lot of time and effort. Hence, embodiments of present disclosure provide an automated method for identification of product taxonomy from product abbreviation. First, a brand name of product abbreviation is predicted using a Large Language Model (LLM) and a brand list. Then, possible expansions of the abbreviation are generated based on the brand name using acronym expansion dictionary. Among the generated possible expansions, a relevant one is identified using the LLM. Later, web scraping and web search techniques are applied on the relevant expansion to obtain associated top k matches of a supergroup, a product group and module of the predicted relevant expansion. Finally, product taxonomy is predicted based on the top k matches using a LLM augmented taxonomy classification by Retrieval Augmented Generation.

This application discloses a data generation method, apparatus, storage medium, and device based on a simulated search environment, relating to the field of communication technology. Its main purpose is to address the problem of poor data validity during the training of existing search environment models. The method includes: acquiring the task content of the data generation task and determining the task type based on the search complexity of the task content; the task type includes extended and refined types; processing the task content based on the task type to obtain multiple candidate tasks, and performing quality checks on the candidate tasks based on a first intelligent agent; if the quality check is passed, then solving the candidate tasks in a simulated search environment multiple times based on a second intelligent agent to generate a solution trajectory, and evaluating the solution trajectory based on a third intelligent agent; the simulated search environment includes a simulated web search environment and a simulated web browsing environment; if the evaluation result matches preset task constraints, generating the target data for the data generation task.

Content analysis systems and methods are described. One aspect includes receiving a user search request associated with any of an email search, an online web search and a chat prompt. The search request may be routed to a search processing engine, and to a content analysis system. In an aspect, the search processing engine performs a first search based on the search request to retrieve a first content set from a first data storage, and the content analysis system performs a second search based on the search request to retrieve a second content set from a second data storage. The first content set and second content set may be merged to generate a merged content set, and this merged content set may be presented to the user.

Systems and methods for generating actionable regulatory insights for predictive analytics are disclosed. A method comprises receiving, by an artificial intelligence (AI) model, a regulatory query from a client device. A determination is made whether the query requires new data retrieval or if existing data can answer the query. When the query requires new data retrieval, a Web search is activated, which includes prompting an external large language model (LLM) to provide a regulatory document that answers the regulatory query. The regulatory document is retrieved in answer to the regulatory query. The answer to the query is transmitted to the client computing device. The generated answer, regulatory content, and the regulatory documents are provided in a feedback loop to the AI model, to improve training data. The client computing device is provided an actionable regulatory insight, including a recommended workflow of tasks based on the recommendation regarding the regulatory content.

1. Name of the Design Product: Graphical User Interface for Converting Web Search Result Pages of Electronic Devices. 2. Use of the Design Product: For an electronic device. 3. Design Key Points of the Design Product: Lies in the graphical user interface. 4. Picture or Photo that Best Illustrates the Design Key Points: Interface Variation State Diagram 1. 5. Other sides of the electronic device are of conventional designs, and other views are omitted. 6. Use of the Graphical User Interface: This interface is used for users to convert the result pages of intelligent search for quick browsing. The main view is the original search result page presented after the user conducts a search. Click on "Introduction" at the upper position in the main view to enter Interface Variation State Diagram 1; click on "Mind Map" in Interface Variation State Diagram 1 to enter Interface Variation State Diagram 2; click on "Highlights" in Interface Variation State Diagram 2 to enter Interface Variation State Diagram 3; click on "Flip" to the right of "Highlights" in Interface Variation State Diagram 3 to enter Interface Variation State Diagram 4.

Embodiments of a method for automatic search engine optimization (SEO) of funnel websites in a tiered software framework comprises: generating at a first tier, a prompt for an artificial intelligence (AI) model to provide recommendations for improving search rankings of a seed website; receiving from the AI model, SEO format recommendations, and SEO content recommendations; generating websites by modifying the seed website according to a unique selection from the SEO format recommendations and the SEO content recommendations; associating each website with a corresponding SEO score based on performance in a web search; ranking and sorting the websites according to the respective SEO scores; generating choices of the ranked websites; providing the choices to a second tier and receiving a selection therefrom for a number of iterations; and deploying, by the funnel website application the final selection at a public universal resource locator.

This invention provides an elevator system and program that can easily implement a service that allows users to easily determine their destination floor. [Solution] The elevator system comprises: a first reception unit that receives input for the target building; a second reception unit that receives input for a destination located on any floor of the target building; a search unit that inputs input text containing the target building and destination to a search server that, when text containing the input building and the input location located within the input building is input, uses a web search to output destination information that includes the floor of the input location within the input building; an acquisition unit that acquires destination information output from the search server based on the input text; an extraction unit that extracts the destination floor from the destination information acquired by the acquisition unit; and a call control unit that transmits a call to the elevator control device of the target building, with the destination floor extracted by the extraction unit as the destination floor.

The embodiment of the invention provides a search model training method, a search task processing method and a webpage search task processing method. The search model training method comprises the steps of obtaining a plurality of data sources of a search training task; single-source samples, cross-source samples and reverse combined samples are constructed based on entities in the multiple data sources, the single-source samples are obtained through construction based on entities in a single data source, the cross-source samples are obtained through construction based on cross entities in the multiple associated data sources, and the reverse combined samples are obtained through construction based on fuzzy problems corresponding to hidden entities; and training the search model based on the single-source sample, the cross-source sample and the reverse joint sample to obtain a trained search model. The three different types of samples are trained to provide entities with different intensities, the search model learns how to quickly and accurately position the corresponding entities from the context containing a large amount of information in the training, the complexity of the training samples is enhanced, and the performance is better when the method is generalized to a real and complex search scene.

Systems and methods for establishing data linkages are described in various embodiments. A system architecture is described which provides a data processing orchestrator device or service which securely interoperates with data sets at various points in time associated with a set of interactions a user may have with computer systems. The data sets are obtained from different data repositories, and are combined together for analysis such that a first data set representing intents (e.g., web search / browse history) can be combined together with a second data set representing outcomes (e.g., purchase transaction history, web site shopping carts).

An object of a system according to an embodiment is to obtain a highly accurate search result even if a user does not input an appropriate keyword.SOLUTION: A system includes a keyword input part, a background estimation part, a story generation part, and a WEB search part. The keyword input unit inputs a keyword. The background estimation unit estimates a background from the keyword input by the keyword input unit. The story generation unit generates a plurality of stories on the basis of the background estimated by the background estimation unit and presents the stories to the user. The WEB search unit generates a keyword again on the basis of the story generated by the story generation unit and performs a WEB search.SELECTED DRAWING: Figure 1

Systems and methods for measuring impact of online search queries on user actions. The method includes capturing clickstream data entered via a website, the clickstream data including text-based queries associated with web searches, and clustering the queries to generate query clusters. The method also includes assigning each query cluster to an intent such that each assigned intent estimates a desired action behind the queries in the corresponding query cluster. The method further includes mapping each intent assigned to a query cluster to at least one action motivated by the intent. The method also includes computing metrics using the mapping to quantitatively measure the impact of the queries on the mapped actions by tracking performance of the actions within a predefined time period after the queries.

A system, method, and computer program product for implementing artificial intelligence module communication is provided. The method includes generating models associated with communications between real-time artificial intelligence modules. Classifiers associated with the models are generated and a master real-time artificial intelligence module associated with the modules and classifiers is detected. Real-time artificial intelligence modules are detected and communications between the master real-time artificial intelligence module and the real-time artificial intelligence modules are initiated. Updated classifiers, updated models, and updated self learning software are generated. The updated self learning software is executed and a resulting query associated with a Web search is executed.

Embodiments of a method for automatic search engine optimization (SEO) of funnel websites in a tiered software framework comprises: generating at a first tier, a prompt for an artificial intelligence (AI) model to provide recommendations for improving search rankings of a seed website; receiving from the AI model, SEO format recommendations, and SEO content recommendations; generating websites by modifying the seed website according to a unique selection from the SEO format recommendations and the SEO content recommendations; associating each website with a corresponding SEO score based on performance in a web search; ranking and sorting the websites according to the respective SEO scores; generating choices of the ranked websites; providing the choices to a second tier and receiving a selection therefrom for a number of iterations; and deploying, by the funnel website application the final selection at a public universal resource locator.

The present disclosure relates to systems, devices, and methods for integrating enterprise assets with a web experience of enterprise users. The systems, devices, and methods may receive a query from an enterprise user and may provide the query to a search engine. The systems, devices, and methods may receive search results and may enrich the search results with one or more enterprise assets related to the search results. The systems, devices, and methods may present a search webpage with the search results and the one or more enterprise assets.

Device for optimized web searches which includes a USB connector adapted to fit into a common USB port of a computer, for the purpose of optimizing web searches carried out by the user; said device providing the user with an innovative search engine adapted to perform searches simultaneously on one or more of the eight main global search engines, generating results free from any form of commercial profiling, which generally leads said search engines to sort the results not for absolute relevance but for convenience; said device further comprising a plurality of filters adapted to best select the search results according to the user's needs and to eliminate the results deemed fake, following the web search performed by the user. The device is also adapted to provide anonymity on searches carried out, storing all data on a data wallet where user-generated information is stored.

This invention provides an information processing device that collects keyword data from multiple web search engines, analyzes it, and identifies consumer interests. [Solution] A data processing device for acquiring data, comprising: means for collecting keyword data from multiple search engines on the web; means for analyzing the collected keyword data and identifying search frequency and trends over a specific period; means having a generating artificial intelligence that generates project proposals and creates catchphrases based on the analysis results; means for notifying the user's terminal of the generated project proposals and catchphrases via a network; means for providing an interface for registering relevant product information on an online sales platform based on the notification content; and means for collecting sales data of registered products and providing feedback for improving sales.

The present disclosure provides a method, device and equipment for pushing material information based on region, which relates to the field of data processing, especially to the fields of big data, intelligent search, big search, web search, information retrieval, etc. The specific implementation scheme is: in response to an acquisition request, determining the first regional characteristic information corresponding to the acquisition request; wherein the acquisition request is used to indicate the acquisition of material information, and the first regional characteristic information represents the relevance of the acquisition request to the region; according to the first regional characteristic information and the second regional characteristic information of the material information in the preset material library, the material information is matched from the preset material library for the acquisition request to obtain a list to be pushed, and the material information in the preset material library has the second regional characteristic information representing whether the material information is related to the region; and the list to be pushed is displayed. The present application improves the accuracy of material information push through the above method.

Embodiments herein disclose a method for selecting a network by a user equipment (UE) (100). The method includes triggering a web search process. Further, the method includes determining whether the last registered network is an NTN. Further, the method includes ignoring the last registered network if the last registered network is the NTN. Further, the method includes performing a network search procedure of a terrestrial network (TN). If the RPLMN is an NTN PLMN, the proposed method ensures that the UE (100) does not first perform the RPLMN search when on or resumes from lack of coverage, and directly scans the TN PLMN, thereby providing fast and better services for the user.

This application provides a method and related equipment for training a large-scale model for intent analysis based on web search, comprising: acquiring an original dataset and a neural network model; performing self-supervised training on the neural network model based on the original data to obtain a pre-trained model; acquiring search records and labeling them to generate training data; and training the pre-trained model based on the training data and preset feedback data to obtain a target training model. This method, by labeling qualified search action data and using this data as training data, trains the model using the training data and preset feedback data, making the intent analysis process of the target training model more accurate and the prediction results more accurate, thereby improving the accuracy and efficiency of web search intent analysis and prediction.

To efficiently and accurately conduct surveys on the classification of a large number of building uses. [Solution] The nameplate information acquisition unit 52 acquires nameplate information and address information from a residential map and links it with building data. The business type estimation unit 53 performs a web search using the nameplate information and address information to estimate the business type of the building. The usage classification determination unit 55 converts the estimated business type into a usage classification based on classification criteria. The confidence calculation unit 56 calculates a confidence score for the usage classification and identifies ambiguous areas. The map display control unit 57 displays the usage classification in color on the map in relation to the building shape and creates a current status map by building usage. This realizes the automation of determining the building's usage classification.

The invention discloses an adult learner-oriented AIGC application capability personalized training agent and an implementation method thereof, an integrated architecture of an exclusive education knowledge base, a double-agent collaborative engine and a self-adaptive interaction engine is constructed based on a deduction platform OpenAPI, and a six-layer technical architecture is adopted: an infrastructure layer, a data layer, a service layer, an agent layer, an integration layer and an application layer. The method comprises the following steps: deploying double agents of a basic course (theoretical teaching) and a skill course (practical training evaluation), realizing accurate question and answer through a BERT-base vector library and'keyword + semantic similarity 'mixed retrieval, forming a learning closed loop in combination with a class test and a Web search plug-in, and generating a multi-device adaptive interface based on Vue3.0. According to the method, the knowledge retrieval response is smaller than or equal to 1.2 s, the semantic similarity is larger than or equal to 0.85, the learning efficiency is improved by 50% or above, the method has the public welfare attribute, and the economic and technical threshold of adult AIGC learning is broken through.

1. Name of the product in this design: Text selection operation body for English learning graphical user interface of electronic device. 2. Purpose of this design: An electronic device. 3. The key design feature of this product is its graphical user interface. 4. The image or photograph that best illustrates the design's key features: the front view. 5. Purpose of the graphical user interface: Users select text and perform operations, including copying, sharing, web page search, and reading aloud. 6. Description of the changing states of the graphical user interface: In the main view, after the user selects text, the interface jumps to the changing state diagram. In the changing state diagram, the user can select the corresponding operation options according to the actual needs. The operation options include copy, share, select all, web search, and read aloud. 7. Other situations requiring explanation: The dotted lines indicate the user-created roles and their corresponding backgrounds, which do not constitute the part of this design that requires protection.

We provide the system. [Solution] A system comprising: means for receiving the body and header information of a message received via carrier email or short message service; means for extracting the received message information; means for transmitting the extracted message information to a central processing unit; means for the central processing unit to transmit the message information to an automatically generated artificial intelligence system for evaluation; means for the automatically generated artificial intelligence system to perform a web search based on the message information and evaluate the possibility of fraud; means for receiving the evaluation results; means for generating warning information if there is a high possibility of fraud; means for transmitting the generated warning information to a terminal; and means for displaying the transmitted warning information to the user.

To provide an inbound ranking measurement system and an inbound ranking measurement method that improve measurement accuracy of inbound ranking measurement of domestic target stores from foreign countries in a web search service.SOLUTION: An inbound ranking measurement system for performing ranking measurement of domestic target stores from a foreign country 3 in a web search service comprises: IP address acquisition means 11 for acquiring IP address information of a searcher terminal 4 included in a web search request via the searcher terminal 4; registration information acquisition means 12 for acquiring registration information with reference to an IP address information table; search location estimation means 13 for estimating a search location from which the web search request was made; ranking measurement means 14 for performing ranking measurement for each piece of target store information with reference to an inbound information table, and acquiring inbound ranking measurement results; and output means 15 for outputting the inbound ranking measurement results.SELECTED DRAWING: Figure 1

The invention relates to a multi-level intention recognition agent processing system for short text dialogues, and the system comprises a data processing module which is used for preprocessing diversified multilingual original data, and segmenting the data into a segment form according to semantics; the intention coarse screening module is used for performing intention analysis on the input segment through a large model, so that the large model is matched with the most relevant intention category from a preset intention candidate set, and summarizing the content of the segment in detail to generate a corresponding word cloud picture; the background search module is used for carrying out keyword extraction or background extraction on the input segment and carrying out background search and arrangement through an MCP webpage search tool and a large model; the intention recognition module is used for jointly inputting intention summary content and associated background information into the large model and outputting structured complete intention analysis by utilizing prompt engineering; and the report generation module is used for combining the complete intention analysis content generated by intention recognition with the word cloud picture information to generate a normative intention analysis report.

Advanced payment applications are provided to improve the functionality of cards and devices. For example, a user interface may be placed on a card (e.g., a physical button) or a telephonic device (e.g., a virtual button on a capacitive touch screen). A code may be manually or wirelessly communicated to a card. The code may be presented on a search results page of a web search. The code may then be communicated to a card reader, such as a magnetic stripe reader. In doing so, a merchant may determine what online search results resulted in an in-store sale.

The present application provides a file detection method, device, electronic device, and storage medium. The method includes: obtaining a target file set; performing a web search based on the URL information and target file name corresponding to the URL access shortcut to determine a plurality of target web pages; each target web page can provide a download link for a downloadable file whose file name contains the target file name; obtaining the file size information of the downloadable file corresponding to each target web page to obtain a plurality of file size information; if the difference between each file size information and the target file size information meets a second preset rule, the file set to be detected is determined to be an abnormal file set. In the present application, by determining whether the difference between each file size information in the target web page and the target file size information meets the second preset rule, it is possible to quickly determine whether the target file set is an abnormal file set, thereby completing the security detection of the target file set.