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46 results about "Search problem" patented technology
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In computational complexity theory and computability theory, a search problem is a type of computational problem represented by a binary relation. If R is a binary relation such that field(R) ⊆ Γ⁺ and T is a Turing machine, then T calculates R if: If x is such that there is some y such that R(x, y) then T accepts x with output z such that R(x, z) (there may be multiple y, and T need only find one of them) If x is such that there is no y such that R(x, y) then T rejects x Intuitively, the problem consists in finding structure "y" in object "x".
Elastic distributed Nash equilibrium search method and device under FDI attack
The invention discloses an elastic distributed Nash equilibrium search method and device under FDI attack, and relates to the technical field of non-cooperative game decision, the method comprises the following steps: constructing a multi-agent network, forming a non-cooperative game, and defining an objective function of each agent in the multi-agent network; establishing a malicious FDI attack model; the malicious FDI attack model maps false data injection attack to control input of an agent; an elastic self-adaptive distributed Nash equilibrium search algorithm is designed based on the target function, so that behaviors of other intelligent agents are estimated under the condition that the intelligent agents cannot obtain global information and attack information; the elastic self-adaptive distributed Nash equilibrium search algorithm comprises a leader-follower consistent consensus estimation-based identifier signal designed by an observer and a self-adaptive dynamic gain part. The elastic self-adaptive distributed Nash equilibrium search method solves the problem of elastic self-adaptive distributed Nash equilibrium search when the non-cooperative game is attacked by unknown FDI.
Owner:BEIHANG UNIV
Superconducting quantum chip wiring and optimizing method
ActiveCN119623405ANarrow down the search spaceAvoid complex geometric operationsQuantum computersComputer aided designSearch problemSequence search
The invention discloses an automatic wiring and optimizing method for a superconducting quantum chip, and belongs to the field of automatic design of superconducting quantum chips. According to the method, in a modeling stage, a'combined wiring template 'model under a fine-grained grid is adopted, a problem is discretized through a combined wiring template, complex geometric operation of the arc wiring problem in the solving process is avoided, and the search space of an algorithm is greatly reduced; in the legal solution search stage, a single-side wiring algorithm is adopted, a line sequence search problem is extended according to wiring result characteristics of the algorithm, a line sequence tree search framework is designed, and on the basis, the blocking relation between lines is explored, and a series of search optimization strategies are designed; an exchange winding action is adopted to meet the special wire sequence requirement of a read wire; in the wiring optimization stage, an iterative optimization wiring scheme based on space limitation is adopted, and multi-stage target optimization is performed on the overall wiring result on the basis of a legal solution, so that the wiring result meets design requirements.
Owner:HUAZHONG UNIV OF SCI & TECH
Interactive command line tool-oriented intelligent task planning and execution method and system
The invention provides an interactive command line tool-oriented intelligent task planning and execution method and system, and the method comprises the steps: S1, generating a corresponding command sequence template for each operation of a target tool through a first large language model, and constructing an executable knowledge base; s2, calculating the semantic similarity between the task description and each command sequence template to obtain a candidate set, and selecting the most relevant template as a retrieval context by using a second large language model; s3, modeling a task execution process as a state diagram search problem, selecting candidate nodes from reachable nodes of a current node based on an algorithm, and selecting an optimal node according to a current state and a retrieval context by utilizing a second large language model; s4, executing an execution action corresponding to the optimal node, and analyzing tool output by using a second large language model to adjust a heuristic value of the corresponding node and execute a corresponding rollback strategy; and S5, repeating the steps S3 to S4 until the reasoning result shows that the task reaches the target node or the number of attempts exceeds a preset threshold.
Owner:FUJIAN NORMAL UNIV
Intelligent question and answer method and system
PendingCN119807380ADigital data information retrievalEnergy efficient computingSearch problemUser input
The invention discloses an intelligent question and answer method and system. The method comprises the steps of obtaining a target question text input by a target user; determining a matching result of the target question text and the question and answer sheet; if the matching is successful, feeding back a first target structured answer result corresponding to the question text matched with the target question text to the target user; if the matching fails, analyzing the target problem text by utilizing a classification model, determining a service type corresponding to the target problem text, and determining at least one service keyword related to the service type in the target problem text; and taking each business keyword as a query condition, determining a second target structured answer result corresponding to the query condition in a preset database by adopting an inverse indexing method, and feeding back the second target structured answer result to the target user. The technical problem that a user needs to consume a lot of time to search for answers to questions in a document due to the fact that a related question answering system can only output a query list related to the questions and cannot output structured answer results is solved.
Owner:CHINA TELECOM CORP LTD
A human-like complex question retrieval method, electronic device and storage medium
PendingCN119782463ADigital data information retrievalBiological modelsSearch problemTheoretical computer science
Owner:北京中科闻歌科技股份有限公司
Prompt word processing method and device, equipment and storage medium
The invention provides a cue word processing method and device, equipment and a storage medium, and relates to the field of artificial intelligence, in particular to the fields of large models, big data, intelligent search and the like. According to the specific implementation scheme, multiple pieces of sample data are obtained, wherein the sample data comprise search problems belonging to a target field and target categories of the search problems; based on the multiple pieces of sample data, determining classification standard information conforming to each preset category in the target field; based on the plurality of candidate categories of each search question and the classification standard information of the candidate categories, splicing to obtain an initial cue word of each search question; the initial prompt word is used for indicating a category which the search problem conforms to is determined from a plurality of candidate categories; the plurality of candidate categories are at least partial categories in a plurality of preset categories; detecting the initial cue word of each search question to obtain a total detection result which is used for evaluating the cue effect of the initial cue word of each search question so as to adjust the initial cue word based on the total detection result.
Owner:BEIJING BAIDU NETCOM SCI & TECH CO LTD
Extensible deep neural network channel pruning method and system
The invention relates to the technical field of artificial intelligence, in particular to an extensible deep neural network channel pruning method and system. According to the method, a channel pruning problem is converted into a structure search problem, and an artificial bee colony algorithm is provided to find an optimal pruning structure. A coupled model structure is mapped into a non-coupled search structure through structure mapping, and an optimal pruning structure is searched and fine-tuned based on an artificial bee colony algorithm, so that the search space of the deep neural network is reduced, and the pruning problem of the coupled structure is solved.
Owner:NORTHWEST A & F UNIV
A two-stage key region semantic map construction method based on Hough transform
ActiveCN119229216Breduce dimensionalitysmall amount of calculationInternal combustion piston enginesCharacter and pattern recognitionSearch problemPoint cloud
The present invention discloses a two-stage key area semantic map construction method based on Hough transform. Aiming at the problem that existing UAV environment modeling involves a large amount of calculation and cannot always guarantee the real-time processing of actual ranging images on currently available airborne computing devices, a two-stage linear plane extraction method is proposed. In the first stage, the three-dimensional space of the original point cloud is decomposed into a two-dimensional plane subspace, and the search problem of the plane object in the three-dimensional space is converted into the search problem of the straight line segment in the two-dimensional subspace (scanning plane), thereby significantly reducing the amount of calculation by reducing the dimensions of the search object and the search space; the second stage also does not involve a large amount of calculation, because the search for the plane object is not based on the original point cloud, but on the straight line segments extracted in the first stage, and the number of these straight line segments is much less than the number of points in the original image, which further reduces the amount of calculation, thereby improving the autonomous task execution efficiency of the UAV in the industrial city environment.
Owner:SOUTHWEAT UNIV OF SCI & TECH
A mobile robot two-dimensional full coverage path planning method and related equipment
The application discloses a two-dimensional full coverage path planning method for a mobile robot and related equipment, and belongs to the technical field of robot full coverage path planning. In a complex two-dimensional environment model, for example, a two-dimensional map in which irregular obstacles and concave-convex polygon obstacles exist, firstly, Maklink lines generated by Maklink graph theory can effectively divide the map into multiple sub-regions, which is helpful to simplify the path search problem and improve the search efficiency; then, the order in which the robot visits each sub-region is calculated, and the optimal path for the robot to switch between each sub-region is calculated; finally, the Boustrophedon path is used for "bow" shape traversal, which can ensure that the robot efficiently covers the entire sub-region, reduces the possibility of omission and repeated cleaning, and moves between sub-regions according to the optimal switching path and the visiting order, which is helpful to reduce the repeated path and invalid movement of the robot when traversing the sub-region.
Owner:CHENGDU UNIVERSITY OF TECHNOLOGY
A deadline-aware deep learning training task scheduling method and system for efficiency
ActiveCN115033360BImprove estimation accuracyImprove running qualityProgram initiation/switchingProcessor architectures/configurationSearch problemTask completion
The present invention discloses a deadline-aware deep learning training task scheduling method and system for efficiency. The method mainly includes two steps: deep learning training task running time estimation and deep learning training task scheduling optimization. First, a threshold-based adaptive sampling technology is used to obtain an accurate estimation result of the deep learning training task running time. Then, the scheduling problem in the heterogeneous GPU cluster is converted into a search problem for task arrangement on each GPU. The optimized scheduling result that meets the scheduling goal is searched, and the search space is reduced through a variety of pruning methods. Compared with the prior art, the present invention innovatively proposes a unified expression form of scheduling goals, which can simultaneously meet the scheduling goals of minimizing the deadline violation amount of the task and the overall task completion time, and can efficiently schedule deep learning tasks, which is conducive to improving the efficiency of task deployment and operation in heterogeneous GPU clusters.
Owner:INST OF SOFTWARE - CHINESE ACAD OF SCI
Intelligent task planning and execution method and system for interactive command line tools
The application provides an intelligent task planning and execution method and system for an interactive command line tool, comprising the following steps: S1, using a first large language model to generate a corresponding command sequence template for each operation of the target tool, and constructing an executable knowledge base; S2, calculating the semantic similarity between the task description and each command sequence template to obtain a candidate set, and using a second large language model to select the most relevant template as a retrieval context; S3, modeling the task execution process as a state graph search problem, selecting a candidate node from the reachable nodes of the current node based on an algorithm, and using the second large language model to select the optimal node according to the current state and the retrieval context; S4, executing the execution action corresponding to the optimal node, using the second large language model to parse the tool output, adjusting the heuristic value of the corresponding node and executing the corresponding rollback strategy; and S5, repeating steps S3 to S4 until the reasoning result shows that the task reaches the target node or the number of attempts exceeds the preset threshold.
Owner:FUJIAN NORMAL UNIV
A Vehicle Route Planning Method in a Complex Environment
ActiveCN115097824BVehicle position/course/altitude controlPosition/direction controlSearch problemInformation processing
The present invention relates to a vehicle path planning method in a complex environment and belongs to the field of intelligent transportation technology. This method adopts an incremental loading and search path planning algorithm, reusing the planning results of previously loaded areas in the incremental loading path planning algorithm to further improve the speed of path planning. An incremental method is used when loading map data to avoid loading a large amount of map data at one time, significantly reducing the geographical information processing time. Within the loaded area range, an incremental search path planning algorithm that breaks path symmetry is used to further improve the path planning speed. At the same time, aiming at the symmetric repeated search problem of the existing heuristic search algorithm, a straight-line trajectory deviation value is introduced to distinguish symmetric points with the same original priority to break the path symmetry, reduce the exploration of redundant grids by the algorithm, and improve the planning speed.
Owner:BEIJING INST OF TECH
A control law automatic design method based on long short-term memory network
ActiveCN117826591BAchieve integrated optimizationreduce dependenceAdaptive controlSearch problemNetwork architecture
The application discloses a control law automatic design method based on a long short-term memory network. The method draws on the experience of network architecture search method in deep learning, utilizes the advantage of a recurrent neural network in time sequence correlation exploration, converts a control law structure design problem into a directed acyclic graph topological relation automatic search problem, realizes automatic generation of a flight control law control structure, and realizes automatic setting of parameters under a given control law structure based on a genetic algorithm. The method aims at overcoming the limitation that current control law automatic optimization can only utilize a heuristic algorithm to automatically set controller parameters for a known controller structure, reducing the artificial design workload, and improving the control effect under complex design input conditions.
Owner:BEIJING AEROSPACE AUTOMATIC CONTROL RES INST
Information processing device, information processing system, program, and ising model development assistance method
With respect to an information processing device that supports creation of an Ising model for causing an annealing-type optimization machine to solve an optimum solution search problem, the information processing device includes a transforming unit configured to binarize an explanatory variable included in a training data set created using a trained machine learning model; a training unit configured to train an Ising model by performing machine learning with a relationship between the binarized explanatory variable and a predicted value of the training data set; and an output unit configured to output the trained Ising model.
Owner:RESONAC CORP
Question and answer search method and device, equipment and storage medium
PendingCN121255965ASpecial data processing applicationsText database clustering/classificationUser needsSearch problem
Owner:BEIJING QIHOOD TECHNOLOGY CO LTD
Neural network channel number search method and apparatus
A neural network channel number searching method and device can realize a differentiable search technology to search network channel numbers, reduce the calculation complexity of the network while ensuring the network performance. The method comprises the following steps: determining the output channel number N of a convolutional layer, wherein N is a positive integer (S301); dividing the feature tensor output by the convolutional layer into n sub-feature tensors, wherein the channel number of each sub-feature tensor is N / n, n is an integer that can be divided by N, and n is greater than or equal to 2 (S302); determining n sets of weighting coefficients, wherein each set of weighting coefficients comprises a plurality of weighting coefficients, and the plurality of weighting coefficients correspond to a plurality of sub-feature tensors in the n sub-feature tensors one by one (S303); determining the sub-feature tensor corresponding to the maximum value in each set of weighting coefficients (S304) to obtain the sub-feature tensors corresponding to the n maximum values; and re-determining the output channel number of the convolutional layer according to the sub-feature tensors corresponding to the n maximum values (S305).
Owner:HUAWEI TECH CO LTD
Information processing apparatus, display control method, and storage medium
Technical ProblemTo provide a time efficient Neural Architecture Search for the Backbone block of Computer Vision task.Solution to ProblemA neural architecture searching apparatus comprises building means (11) to build a supernetwork, wherein a target layer of the supernetwork to be optimized is replaced by a plurality of candidate layers, and the supernetwork comprises a plurality of fully-connected layers; training means (12) to train the supernetwork, wherein the plurality of candidate layers are trained part by part, and the plurality of fully-connected layers are trained correspondingly to the part of the plurality of candidate layers; and selecting means (13) to evaluate the trained supernetwork and select a part of the plurality of candidate layers which corresponds to the best performing part of the plurality of fully-connected layers.
Owner:NEC CORP
A superconducting quantum chip wiring and optimization method
The present invention discloses a method for automatic wiring and optimization of superconducting quantum chips, belonging to the field of automated design of superconducting quantum chips. In the modeling phase, the method adopts a "combined wiring template" model under a fine-grained grid. The combined wiring template is used to discretize the problem, avoiding the complex geometric operations in the arc wiring problem solution process and significantly reducing the algorithm's search space. In the legal solution search phase, a one-sided wiring algorithm is adopted. Based on the wiring result characteristics of the algorithm, the line sequence search problem is extended and a line sequence tree search framework is designed. On this basis, the blocking relationship between lines is explored and a series of search optimization strategies are designed. An exchange winding action is adopted to meet the special line sequence requirements of the read line. In the wiring optimization phase, an iterative optimization wiring scheme based on space constraints is adopted. Based on the legal solution, the overall wiring result is optimized at multiple levels of objectives to ensure that the wiring result meets the design requirements.
Owner:HUAZHONG UNIV OF SCI & TECH
Maximum inner product vector retrieval-oriented graph indexing method
The invention discloses a graph indexing method oriented to maximum inner product vector retrieval, which utilizes query vector scaling to prove that a maximum inner product search problem can be equivalently converted into a nearest neighbor search problem, so that an efficient Euclidean graph indexing structure is reused on the premise that a vector space does not need to be changed; according to the method, a graph structure based on a spherical path is constructed, a cross-norm connecting edge is introduced on the basis of a traditional sparse graph to relieve norm bias, and a normalized clustering and high norm screening strategy is adopted to generate an entry point to improve search coverage. Meanwhile, the invention provides a self-adaptive termination mechanism based on search process features, and whether the search is ended in advance is judged through a lightweight decision tree model, so that the search overhead is effectively reduced. Experiments show that the retrieval efficiency is remarkably improved on the premise of ensuring the accuracy, and the method is suitable for high-performance vector retrieval scenes such as recommendation systems and e-commerce search.
Owner:ZHEJIANG UNIV
Shopping guide method and device based on artificial intelligence, electronic equipment and storage medium
The embodiment of the invention discloses a shopping guide method and device based on artificial intelligence, electronic equipment and a storage medium, belongs to the technical field of artificial intelligence, and solves the problem of insufficient shopping guide personalization. Comprising the steps of obtaining a search question which is input by a user and is related to a target commodity, obtaining user preference information of the user in preset multiple dimensions, and generating a user preference feature vector based on the user preference information in each dimension; performing serialized splicing processing on the search question and the user preference feature vector to obtain target data, and inputting the target data into a trained large language model; and based on the trained large language model, outputting a target shopping guide answer of the search question, so as to determine a target commodity based on the target shopping guide answer.
Owner:ZHENGZHOU APUS DIGITAL CLOUD INFORMATION TECH CO LTD
Searching method and device and arbitration problem searching method
InactiveCN119719313ADigital data information retrievalSpecial data processing applicationsSearch problemTheoretical computer science
One or more embodiments of the invention provide a search method and device and an arbitration problem search method. The search method comprises the following steps: acquiring an original search question; determining a search condition corresponding to the original search question; iteratively executing the following operations until an iteration stop condition is met: searching by adopting the search condition to obtain a search result; responding to the condition that the search result does not meet a return condition, taking the search result, the search condition and the original search question corresponding to the search condition as input of a first language model, and updating the search condition and the original search question through the first language model, obtaining a new search condition output by the first language model and a new search problem corresponding to the new search condition, and returning to execute the step of searching by adopting the search condition; and generating an answer of the original search question based on the latest search result obtained after iteration is stopped.
Owner:GONGDAO NETWORK TECH CO LTD
Automatic architecture design method and system for multi-modal fusion neural network
The invention discloses an automatic architecture design method and system for a multi-modal fusion neural network, and the method comprises the steps: defining an original operation pool for the structure search of the multi-modal fusion neural network, carrying out the search processing, and determining a multi-modal fusion cellular network structure; obtaining a basic component for constructing a multi-modal fusion cellular network structure unit, and inserting a residual structure to obtain a multi-modal fusion cellular network unit library; carrying out topology complexity and accuracy evaluation, and carrying out Shapley value calculation on the residual error structure to obtain a Shapley value of the residual error structure; carrying out residual error optimization processing on the multi-modal fusion cellular network structure; and fusion of various sensor data is realized. According to the method, a multi-modal fusion problem can be directly solved as a framework search problem by utilizing a residual structure, and data fusion is realized by fully utilizing each modal information of heterogeneous data. The automatic architecture design method and system for the multi-modal fusion neural network can be widely applied to the technical field of neural network architecture search.
Owner:FOSHAN UNIVERSITY
Classifier-assisted neural network architecture search multi-target multi-level learning optimization method
The invention discloses a classifier-assisted neural network architecture search multi-target multi-level learning optimization method, which comprises the following steps of: modeling by taking a neural network architecture search problem as a multi-target optimization problem, and constructing a search space; constructing a test network for training; screening a Pareto optimal solution through non-dominated sorting, and constructing a special search space based on a Pareto leading edge reserved operator; performing a classifier-assisted hierarchical learning-based multi-objective evolutionary optimization algorithm, selecting an updated population after evolution based on a candidate solution screening strategy, performing objective function evaluation based on a screened solution, updating an archive library, outputting a Pareto optimal solution in the archive library after iterative training, and performing multi-objective evolutionary optimization on the basis of the Pareto optimal solution in the archive library. And selecting a network in the optimal Pareto frontier of the last generation of population as an optimal neural network architecture. According to the method, efficient search of the neural network architecture is realized through the classifier-assisted hierarchical particle swarm optimization algorithm, and a solution meeting the double targets of classification accuracy and reasoning delay is obtained.
Owner:SOUTH CHINA UNIV OF TECH
Topology enhancement prompting method for graph reasoning task
The invention provides a graph reasoning task-oriented topology enhancement prompting method, and belongs to the technical field of artificial intelligence natural language processing. The method comprises the following steps: S1, inputting graph data, and constructing basic prompt information and question information of a graph reasoning task; s2, node attribute enhancement prompt information is constructed according to the node degree attribute information of the graph data; s3, constructing path connection enhancement prompt information according to the path connection of the graph data; s4, splicing the basic prompt information, the node attribute enhancement prompt information, the path connection enhancement prompt information and the question information of the graph reasoning task in sequence to obtain topology enhancement prompt information; and S5, inputting the topology enhancement prompt information into the large language model API to generate a topology enhancement prompt response, namely obtaining a graph reasoning result. According to the method, the blind search problem caused by information loss of LLMs in graph reasoning is effectively solved, and the deep understanding and reasoning ability of a large language model to a graph structure is improved.
Owner:UNIV OF ELECTRONICS SCI & TECH OF CHINA
Processing method and system of mathematical problem solver based on deep learning
ActiveCN115344811BData processing applicationsOther databases queryingSearch problemAlgebraic solution
The present application provides a processing method and system for a mathematical problem solver based on deep learning. Since the problem-solving models in the geometry solver and the algebra solver are obtained by training using neural networks, one of the geometry solver and the algebra solver can be selected as a target solver according to the search question input by the user, and the search question can be input into the problem-solving model of the target solver for problem-solving processing, and the problem-solving result can be output to the user for viewing. This method does not require the storage of a question bank, and can perform intelligent solutions for various geometry and algebra problems, and the solution rate and accuracy are effectively improved.
Owner:HARBIN INST OF TECH
A data analysis method and device based on large language model
The present application proposes a data analysis method and device based on a large language model. Based on the basic portrait of the first user and the search portrait of the first user, multiple third users with high similarity to the first user are screened. In the screening process, the basic information of the user, the search question, and the style preference for the search answer are comprehensively considered. Based on the search history of multiple third users, multiple third mapping relationships used to characterize the search question and data analysis dimensions are determined, and the target mapping relationship is determined according to the data analysis needs of the first user, thereby generating the first recommendation result. In addition, different solutions can be given to the same problem according to the different data analysis capabilities of the users to meet the personalized needs of different users. The technical solution of the present application can further expand the application scenarios of the large language model and accelerate the convenience of data analysis.
Owner:HANGZHOU HONGYUN INFORMATION CONSULTING CO LTD
Information processing device, information processing system, program, and ising model creation support method
With respect to an information processing device that supports creation of an Ising model for causing an annealing-type optimization machine to solve an optimum solution search problem, the information processing device includes a transforming unit configured to binarize an explanatory variable included in a training data set created using a trained machine learning model; a training unit configured to train an Ising model by performing machine learning with a relationship between the binarized explanatory variable and a predicted value of the training data set; and an output unit configured to output the trained Ising model.
Owner:RESONAC CORP
Large model-based enterprise-level search result optimization method and device, and medium
PCT designated stageWO2025232004A1Computer security arrangementsWeb data queryingDigital dataData feed
The present application relates to the technical field of electric digital data processing. Disclosed are a large model-based enterprise-level search result optimization method and device, and a medium. The method comprises: by means of an enterprise search engine, returning a search result list consisting of a plurality of search results corresponding to a search query requested by a user; performing semantic analysis on the search query by means of a large language model, so as to obtain an answer corresponding to the search query; on the basis of the query answer, adjusting the search result list to obtain an adjusted fusion search result list; on the basis of a preset weighting calculation model, allocating corresponding search matching weightings to the fusion search result list; for each search result in the fusion search result list, acquiring user operation data fed back by the user for the search result, and, on the basis of the user operation data, calculating a user operation weighting corresponding to the search result; and, on the basis of the user operation weightings and the search matching weightings, re-adjusting the fusion search result list to obtain a target search result.
Owner:INSPUR GENERSOFT CO LTD
Data retrieval method and device based on index platform, electronic equipment and medium
InactiveCN119848099AData processing applicationsDigital data information retrievalTime informationSearch problem
The invention provides a data retrieval method and device based on an index platform, electronic equipment and a medium, and the method comprises the steps: obtaining a retrieval problem input by a user, and extracting a keyword of the retrieval problem based on a pre-trained first large language model; wherein the keyword comprises time information and at least one piece of index information; performing vectorization processing on the keyword based on the vector model after fine tuning to obtain a vector of the keyword; performing retrieval and calculation on a pre-constructed index platform based on the keyword and the vector of the keyword to obtain a retrieval result of the index information; wherein the retrieval result of the index information comprises calculation results of single production data or multiple pieces of production data; the index platform is connected with different data sources to obtain production data, and various computational logics are built in the index platform and used for calculating the production data. According to the method, the accuracy of data retrieval is improved, and meanwhile the utilization rate of production data is increased.
Owner:TIANJIN MEITENG TECH CO LTD +1
Data analysis method and device based on large language model
ActiveCN119397005AImprove convenienceMeet individual needsDigital data information retrievalInference methodsSearch problemPersonalization
According to the data analysis method and device based on the large language model provided by the invention, the plurality of third users with relatively high similarity with the first user are obtained through screening according to the first user basic portrait and the first user search portrait; basic information, search questions and style preferences for search answers of users are comprehensively considered in the screening process, a plurality of third mapping relations used for representing the search questions and data analysis dimensions are determined according to search histories of a plurality of third users, and a target mapping relation is determined according to data analysis requirements of a first user; in addition, different solutions can be provided for the same problem according to different data analysis capabilities of the users, so that individual requirements of different users are met. Through the technical scheme of the invention, the application scene of the large language model can be further expanded, and the convenience of data analysis is accelerated.
Owner:HANGZHOU HONGYUN INFORMATION CONSULTING CO LTD