8results about How to "Improve search quality" patented technology

The invention provides a vehicle retrieval question and answer method, a controller and a vehicle, and the method comprises the steps: carrying out the analysis of a vehicle specification document through a pre-trained layout analysis model, and obtaining target information; the target information comprises a text and a picture; constructing a text vector database and an image vector database according to the target information; constructing a question proposed by a user, and retrieving the constructed question based on the text vector database and the image vector database to obtain an initial answer; reasoning the initial answer by using a multi-modal large model to obtain a target answer; the target answer comprises a picture and text content; therefore, after the question asked by the user is obtained, in order to improve the retrieval quality, the question needs to be constructed, so that the question better fits the understanding of the vehicle; and then the constructed questions are retrieved in the text vector database and the image vector database at the same time, and text answers and image answers are given after the initial answers are reasoned, so that the accuracy of vehicle reply is improved, a user can conveniently understand related operation steps, and the intelligence of the vehicle is improved.

The invention relates to the technical field of artificial intelligence, and provides a retrieval enhancement generation optimization method, system and device, a product and a medium, and the method comprises the steps: obtaining an original document, and carrying out the arrangement and index construction of the original document to obtain a retrieval document; constructing a hybrid retriever, and obtaining a first candidate document through the hybrid retriever; generating a hypothesis document through the first candidate document, and performing secondary hybrid retrieval on the retrieval document through the hybrid retriever to obtain a second candidate document; calculating the information association degree of the second candidate document; screening the second candidate document to obtain a coarse screening document; recombining and segmenting the roughly screened document to obtain segmented documents, and calculating key information density scores of words in the segmented documents to obtain vocabulary key information density scores of the words; and screening the segmented documents according to a fine screening threshold value and the vocabulary key information density score to obtain a target document. According to the method, the reliability of retrieval enhancement and the retrieval quality are effectively improved.

The improved ant colony algorithm integrating global information enhancement and pheromone suppression strategies is provided based on the problems existing in a traditional ant colony algorithm and used for solving the path planning problem of the welding robot, the actual contribution of nodes to the path quality is comprehensively considered by introducing the global information enhancement strategy, and the path planning precision of the welding robot is improved. The guiding effect of high-quality nodes on ant path finding is improved, and then the search quality of the algorithm is improved. Meanwhile, the pheromone suppression strategy enables the algorithm to find out inferior fragments from historical information, and interference of inferior nodes on ant path finding is reduced. Simulation results show that the GIEPI-IACO algorithm has a remarkable effect on solving the welding robot path planning problem, and the overall performance of the GIEPI-IACO algorithm is superior to that of a basic ant colony algorithm and an existing improved ant colony algorithm.

The invention relates to a variable-density high-vacuum multi-layer heat insulation structure and an optimization method thereof, and the optimization method comprises the following steps: determining design parameters and performance indexes of the variable-density high-vacuum multi-layer heat insulation structure, and carrying out the functional expression of each performance index based on the design parameters, so as to obtain a simulation function of each performance index; and based on the simulation function of each performance index, establishing an optimal arrangement problem of the variable-density high-vacuum multi-layer heat insulation structure, and solving the optimal arrangement problem by adopting a genetic algorithm to realize optimization of the variable-density high-vacuum multi-layer heat insulation structure. When the genetic algorithm is adopted to solve the optimal arrangement problem, population individuals are generated based on the number of heat insulation layers among all reflecting screens of the variable-density high-vacuum multi-layer heat insulation structure, and a heat flow density function of the variable-density high-vacuum multi-layer heat insulation structure serves as a fitness function. Compared with the prior art, the method has the advantages of effectively improving the heat insulation performance, being high in efficiency and the like.

The application discloses a search quality real-time evaluation method and device, equipment and a storage medium, and relates to the technical field of Internet, and comprises the following steps: a sample pool construction module is used for online search based on each preset search vocabulary and corresponding prediction category and entity recognition result to determine a corresponding number of positive and negative samples to obtain a target commodity sample pool; a vocabulary routing module is used for judging whether a target search vocabulary currently input by a user belongs to a preset search vocabulary, and if yes, the target search vocabulary is routed to the target commodity sample pool to perform a search operation; a data uploading module is used for storing detailed data of each search stage into a preset persistent database based on a preset burying point when the search operation is performed; and a quality evaluation module is used for determining a quality evaluation result based on the detailed data and each preset quality index formula. The application determines the search quality by evaluating the detailed data of each search stage when the preset search vocabulary is input, and effectively guarantees the real-time performance of the evaluation.

The disclosed embodiments relate to a translation method, device, readable medium and electronic device. The method comprises: obtaining a source text to be translated; inputting the source text into a pre-generated target model to obtain a target translation text output by the target model; wherein the language type corresponding to the target translation text is the target language; the target model comprises a translation model and a text vector set, the text vector set comprises a first hidden state vector, and a first target text corresponding to the first hidden state vector, the first hidden state vector is obtained by inputting a first sample text into an encoding model, the language type of the first sample text is the target language, the first target text is a subset or a complete set of the first sample text, the translation model is used to obtain a pending text vector of the source text, and translate the source text according to the pending text vector, the first hidden state vector and the first target text.

The application discloses a cross-document type retrieval method and system based on differential nested coding. The method includes six steps: document preprocessing, document type identification, differential coding, index construction and optimization, online retrieval and result fusion. First, the document is standardized and preprocessed to extract structured information. Second, the BERT classifier is used to analyze the document features and identify the document type. Then, according to the document type, the corresponding encoder is selected to generate the original coding vector. Next, the differential nested coding index is constructed and optimized. In the online retrieval stage, the user query is preprocessed, the relevant document type is predicted, and the approximate nearest neighbor retrieval is performed. Finally, the retrieval results are sorted by a stepwise weight fusion strategy, and the top-100 retrieval results are returned. Through differential coding and index optimization, the application realizes efficient retrieval of different types of documents, and has significant practical value and application prospect.