61 results about "Internet searching" patented technology

Image-based searching can provide enhanced search results compared to text-based searches. Techniques for generating images that can be used by search engines include generating an optimized image-model prompt using a language model from a text-based input. The optimized image-model prompt includes a more literal description of an item described by the text-based input. The optimized image-model prompt is provided to a language model that generates a photo-realistic image of the item. A search engine uses the photo-realistic image to identify and return search results.

The embodiment of the invention provides a big language model enhancement method, device and equipment based on Internet search, and the method comprises the steps: responding to a search request of a user, and obtaining retrieval result data; constructing a first block tree based on the retrieval result data, and performing first pruning operation on the first block tree based on an embedded model to obtain first retrieval refined data; and constructing a second block tree based on the first retrieval refined data, and performing a second pruning operation on the second block tree based on the path generation model to obtain second retrieval refined data, the second retrieval refined data being used for inputting the large language model to generate an answer conforming to the search request. In the embodiment of the invention, the refining speed of the embedded model is relatively high, the refining granularity of the path generation model is finer, and the retrieval result data is refined by combining the embedded model and the path generation model, so that the retrieval refined data with relatively high quality can be obtained, and the answer quality of the large language model is further improved.

The invention relates to the field of internet search service, and discloses a big data-based investment attraction clue analysis system, which comprises a query analysis unit, a query analysis unit, a query analysis unit, a query analysis unit and a query analysis unit, wherein the query analysis unit calls an event sequence template for defining a meta event type and a standard relative time window constraint interval; the distributed retrieval and aggregation unit is used for retrieving and aggregating meta event types to entity objects; the sequential logic verification unit is used for counting the global document frequency of the meta event, reversely mapping the global document frequency to generate a zoom coefficient, dynamically correcting a time window, and judging that only an entity object in a dynamic verification interval after correction is passed; the object sorting unit generates sorting scores according to template matching integrity, and by constructing a density and window reverse coupling mechanism, the sequential logic boundary is adaptively compressed in a high background noise environment, and the retrieval signal-to-noise ratio and the logic confidence coefficient are maintained.

To provide a system.SOLUTION: A system includes: specifying means for specifying information useful for a user from a talk content of the user and a search history in which the user used an internet search tool, contained in various information sources which the user daily uses; notification means for notifying the user of the daily schedule of the user, based on the information specified by inputting specific prompt sentences into a generative AI model, and for notifying the user of the schedule which is information that is not registered in the schedule and which the user may have forgotten; and means for adjusting the timing of the notification and the content of the notification according to an emotion engine which recognizes the emotion of the user and the emotion.SELECTED DRAWING: Figure 1

The present application provides a method and system for user behavior analysis based on big data. By obtaining the query logs of target users on an Internet search service platform; extracting topic tags and long-tail query data; determining multiple behavior interest degrees based on the long-tail query data, and determining multiple query interest sub-tags based on the query interest index and all the behavior interest degrees; performing query pointing association between the query interest sub-tags and the topic tags to obtain multiple pointing association vectors, and determining behavior trend characteristics based on all the pointing association vectors; obtaining the query phrase input by the target user, performing query matching between the query phrase and the behavior trend characteristics to obtain query behavior characteristics; and uploading the query behavior characteristics to the user behavior analysis center. The above solution can accurately capture the query phrases of users based on the query behavior characteristics, and make associated classification of the search interest directions of the query phrases, so as to realize the accurate analysis of the user search behavior pattern.

The invention discloses a garbage classification method based on a GMama model, and the method comprises the steps: obtaining garbage images through a camera and Internet search, and carrying out the data enhancement preprocessing; a lightweight module GML and a core module GMC are introduced into the GMama model, and the extraction capability of local and long-range spatial dependence features is enhanced through a lightweight scanning mechanism LSM and a core scanning mechanism CSM; dynamically optimizing the class imbalance problem by adopting a mixed loss function and combining focus loss and cross entropy loss; inputting the preprocessed image data into a GMama model for training and testing to obtain an optimal model; and finally, inputting a to-be-classified image into the optimal model, and outputting a classification result. According to the GMama-based garbage automatic identification method provided by the invention, efficient and accurate garbage classification is realized through lightweight design and high accuracy, and the GMama-based garbage automatic identification method is particularly suitable for resource-constrained equipment and has a wide application prospect.

The present invention discloses a garbage classification method based on the GMamba model. The method comprises: acquiring garbage images through a camera and internet search, and performing data augmentation preprocessing; introducing a lightweight module (GML) and a core module (GMC) into the GMamba model, respectively enhancing the ability to extract local and long-range spatially dependent features through a lightweight scanning mechanism (LSM) and a core scanning mechanism (CSM); employing a hybrid loss function combining focal loss and cross-entropy loss to dynamically optimize the class imbalance problem; inputting the preprocessed image data into the GMamba model for training and testing to obtain an optimal model; finally, inputting the image to be classified into the optimal model and outputting the classification result. The proposed GMamba-based automatic garbage identification method achieves efficient and accurate garbage classification with a lightweight design and high accuracy, is particularly suitable for resource-constrained devices, and has broad application prospects.

To provide a system.SOLUTION: A system includes means for generating a description of an image using prompt data input by a user, means for generating a summary based on the description while considering elements of content that an advertiser wants to add, and means for setting the generated summary in an image when an advertisement is displayed on an Internet search tool.SELECTED DRAWING: Figure 1

An object of a system according to an embodiment is to enable an elderly person to answer a question by voice without performing an Internet search.SOLUTION: A system includes a speech recognition unit, a generation AI unit, an answer generation unit, and a reporting unit. The voice recognition unit recognizes a voice of a user. The generation AI unit analyzes the voice recognized by the voice recognizing unit. The answer generation unit generates an answer on the basis of the voice analyzed by the generation AI unit. The notification unit notifies the user of the answer generated by the answer generation unit.SELECTED DRAWING: Figure 1

The invention discloses a self-adaptive retrieval enhancement generation method and system based on multi-dimensional semantic routing and a medium. The method comprises the following steps: receiving a user query, identifying data dependency and cognitive complexity of the query through a semantic routing model, and carrying out bottom classification in combination with a regular matching mechanism; a dynamic routing instruction is generated according to an identification result, and corresponding processing capacity is activated in a self-adaptive mode from an intuitive generation module, a retrieval enhancement module, an algorithm thinking reasoning module and the like; wherein the retrieval enhancement module has a result correlation self-checking function and an internet search bottom-taking function, and the algorithm thinking reasoning (AoT) module adopts a context example to guide a large model to simulate an algorithm search and a backtracking path in single generation; and finally, carrying out validity detection and closed-loop repair on the answers through the quality evaluation model. The problems that a traditional RAG system is rigid in process, complex, insufficient in reasoning capacity and lack of a fault-tolerant mechanism are solved, and the resource efficiency, the logic depth and the answer robustness of the question-answering system are remarkably improved.

To individualize saving methods, investment suggestions, and asset planning in consideration of financial information, interests, and personal characteristics of a user to individualize daily asset building.SOLUTION: A system comprises: means for proposing saving methods, investment suggestions, and asset planning in consideration of interests and personal characteristics of a user on the basis of financial account information, payment information, and history of e-commerce; means for utilizing Internet search data; and means for assessing personality of the user.SELECTED DRAWING: Figure 1

To provide a system.SOLUTION: A system comprises: means for automatically generating posts for an Internet search tool using a natural language processing technique: means for allowing users to provide responses to the generated posts; and means for evaluating the accuracy of the provided responses.SELECTED DRAWING: Figure 1

To provide a system.SOLUTION: A system includes means for accepting an input from a user; means for automatically coordinating with a plurality of Internet search tool services on the basis of the input, and means for providing the user with the information obtained by the coordination.SELECTED DRAWING: Figure 1

There is provided a computer-implemented method of stopping an internet search early, the internet search being in a class of internet searches, the method using a trained machine learning model, in which the trained machine learning model has been trained on earlier internet searches in the class, and the successive results produced by those searches, to recognize when sufficient search results have been received to make continuing searching not worthwhile, and to output whether or not to continue searching; the method including inputting the internet search into the trained machine learning model, and the search's present results, and stopping the search in response to the trained machine learning model outputting that the search should be stopped. A corresponding system configured to perform the method is also provided.

To provide a system.SOLUTION: An interactive AI system comprises means for cooperating with each service of internet search tools, means for devising solutions to user requests or problems, and means for proposing the devised solutions to the user.SELECTED DRAWING: Figure 1

The invention discloses a big data type search system based on the 5G communication technology and a search method thereof, and relates to the technical field of internet search, the big data type search system comprises a data acquisition module, a data processing module, an analysis module and an application module, the priority of an ith query, the score of a pth query result and the response time of the query are calculated through the analysis module, and the query response time is calculated through the application module; according to the method, the query priority is dynamically adjusted through multiple dimensions such as correlation, data volume, geographic position, time delay and the like, the urgent query with high correlation is preferentially processed, the problem of inaccurate priority ranking of a traditional system is solved, the system flexibly adjusts the query sequence and the strategy to improve the efficiency, the user waiting time is shortened, and the user experience is improved. The query results are intelligently sorted according to the priorities, the click rates and the user scores, it is ensured that the most relevant results are preferentially presented, meanwhile, by analyzing the query response time and dynamically optimizing the processing flow, the response time is further shortened, and the user experience is improved.

To provide a system.SOLUTION: A content management system (CMS) tool for internet search tools includes means for extracting facility information based on image information posted by users, and means for automatically generating promotional flyers based on the extracted facility information.SELECTED DRAWING: Figure 1

To provide a system which allows a user to search for a commodity and select a commodity that suits the body shape or tastes of the user on an online shopping site.SOLUTION: In a data processing system, a data processing apparatus 12 and a smart device 14 are connected via network. A specific processing unit 290 in the data processing apparatus 12 is configured to: cause AI to propose recommended styling of clothing from commodities on an Internet search tool and an online shopping site, in conformance to the body shape or tastes, and occasions; cause the AI to generate, when a user selects a favorite styling, a photograph of a model with clothes, the model having the body shape similar to the user; and providing direct links to pages of the commodities by referring to the photograph.SELECTED DRAWING: Figure 2

A communication device and method can include one or more processors operatively coupled to memory, a sensor and an output device, where the one or more processors to perform operations of identifying target person locations using internet searching and short range communication enabled devices. Other aspects are also described and claimed.

This invention relates to the field of internet search services and discloses a big data-based investment lead analysis system, comprising: a query parsing unit that calls an event sequence template defining meta-event types and standard relative time window constraint intervals; a distributed retrieval and aggregation unit that retrieves and aggregates meta-event types to entity objects; a temporal logic verification unit that statistically analyzes the global document frequency of meta-events and generates a scaling factor through reverse mapping, dynamically corrects the time window, and determines only entity objects that pass the corrected dynamic verification interval as qualified; and an object sorting unit that generates a sorting score based on the template matching completeness. This invention constructs a reverse coupling mechanism between density and window to adaptively compress temporal logic boundaries in high background noise environments, maintaining the retrieval signal-to-noise ratio and logical confidence.

To provide a system.SOLUTION: A system includes means for utilizing search data from an Internet search tool, means for grasping what keywords are being used to search for its own company within a specified period, means for grasping what keywords are being used to search for competitors, and means for displaying summaries of information released in press by competitors.SELECTED DRAWING: Figure 1

A system is provided.SOLUTION: The system includes a voice input unit for inputting a question by voice, a voice recognition unit for converting voice data into text data, a search unit for performing an Internet search based on the text data, a voice response unit for converting a search result into voice data, a voice output unit for outputting the voice data to a user, a text input unit for inputting a text question, a search unit for performing an Internet search based on the text question, a text response unit for providing a method for returning a search result of the text question to the user by text, a summary generation unit for generating a summary of a voice and text question history, and a notification unit for notifying the user of a summary generation result.SELECTED DRAWING: Figure 1

The invention relates to the technical field of internet search service and wireless mobile communication short message service, and discloses a wide-area cooperative interaction control method based on a short message bearing channel, which comprises the following steps of: identifying an aggregation keyword and an environment reference variable in a cooperative interaction demand, sending a short message search request to obtain a function feature matrix and a gradient operator coefficient; the controlled terminal analyzes the short message load extraction matrix and the coefficient, and calculates a local execution gain and a time correction factor in combination with the local feature parameter, the environment variable quantity and the timestamp deviation; according to the method, through parameterization matrix distribution, a single search response spontaneously evolves into a differentiated coordination action sequence on the terminal side, the positive correlation between system scale increase and gateway bearing pressure is eliminated, and the information bearing density in a limited channel is improved.

To provide a traffic route guide system which can be efficiently operated.SOLUTION: A system includes an Internet search tool car navigation system, means for incorporating a chat GTP, means for guiding an optimum course, and a system for calculating the optimum course by statistics and traffic volume calculation.SELECTED DRAWING: Figure 1

To provide a system.SOLUTION: Provided is a system for use by local governments that have had agreements with Internet search tools to collect and accurately distribute information to residents. The system includes means for preparing an accurate sentence with a template at the time of login, means for enabling distribution only with final confirmation by a staff member, means for supporting foreign languages, and means for using AI to collect and disseminate information in the event of a major disaster.SELECTED DRAWING: Figure 1

An object of a system according to an embodiment is to efficiently acquire the latest information by using generated AI.SOLUTION: A system includes a search keyword generation unit, a search unit, a page content acquisition unit, and an analysis unit. A retrieval keyword generation part inputs contents to be investigated to the generation AI and generates an optimum retrieval keyword for deriving the contents. The search unit performs an Internet search using the search keyword generated by the search keyword generation unit. The page content acquisition unit acquires all character strings of the page selected by the search unit. The analysis unit analyzes the character string acquired by the page content acquisition unit and extracts a content to be examined.SELECTED DRAWING: Figure 1

A system is provided.SOLUTION: A system, comprising: means for inputting a news article by a user; means for transmitting the input news article to a server; means for analyzing the news article and extracting a main keyword by the server; means for generating an Internet search query based on the extracted keyword and collecting related information; means for determining authenticity of the news based on the collected data and calculating a certainty factor; means for transmitting the determination result, the certainty factor, and ground information to a terminal; and means for displaying a result received by the terminal to the user.SELECTED DRAWING: Figure 1

A computer server system and method are disclosed for personalization and customization of search results and search result rankings, such as for Internet searching. A representative server system comprises: a network interface to receive a primary query and transmit a plurality of secondary queries and search results; a data storage device storing a vector database; and one or more processors configured to generate the secondary queries, using the primary query and using responses received to prior secondary queries; to select and concatenate responses to the secondary queries; using a vector formed from the response concatenation, to perform a vector search of the vector database and obtain associated classifications or categories; to filter and rank the associated classifications or categories to generate and output personalized search results and search result rankings comprising one or more associated classifications or categories corresponding to the primary query.

A system, method, and computer program product for implementing automated digital text optimization is provided. The method includes receiving during execution of an Internet search process, digital textual content comprising embedded words, morphemes, and phrases. A specified format for generating a summary for the digital textual content is identified and probability distribution attributes are generated with respect to target vocabulary of the digital textual content. Content of the digital textual content is replaced with replacement content and an automated digital summary of the digital textual content is generated thereby enabling optimized operational functionality of a recurrent neural network (RNN) encoder-decoder hardware device. A decoded version of the automated digital summary is presented via a specialized graphical user interface.

The present technology provides a distilled generative response engine for generating responses to Internet search queries. The present technology utilizes a language model program that is made up of a collection of conditional dependencies that branch into many different sequences of prompts that are configured to transform answers to different types of search queries. This design of the language model program facilitates rapid iteration to improve responses. The language model program is used to generate distillation data that is used to train the distilled generative response engine.