7results about How to "Achieve retrieval" patented technology

The application relates to the computer technical field, in particular to a sensitive word storage and retrieval method and system, electronic equipment and storage medium, the method comprises the following steps: storing the sensitive word to be stored to a target sharding service through a target mapping table, wherein the target mapping table comprises a mapping relationship between the target sharding service and the first character of the sensitive word to be stored, the target sharding service is one of a plurality of sharding services in memory, and the target sharding service is a sharding service polled currently; based on the target mapping table and the first character of the word to be retrieved, the sharding service to be retrieved corresponding to the first character of the word to be retrieved is determined; and based on the word to be retrieved and the data stored in the sharding service to be retrieved, the sensitive word retrieval is carried out; the method can preferably improve the storage efficiency and retrieval efficiency of the sensitive word, and the cost is low.

The application discloses a large-scale image-oriented encrypted retrieval method and relates to the technical field of image retrieval. Q The application discloses a large-scale image-oriented encrypted retrieval method and relates to the technical field of image retrieval. Q The application discloses a large-scale image-oriented encrypted retrieval method and relates to the technical field of image retrieval. Q The application discloses a large-scale image-oriented encrypted retrieval method and relates to the technical field of image retrieval. Q The application discloses a large-scale image-oriented encrypted retrieval method and relates to the technical field of image retrieval. The application can realize image content-based search, and the encryption algorithm is simple to design, which is beneficial to reducing search overhead while being encrypted.

This application provides a data processing method, apparatus, and electronic device based on a natural language model, belonging to the field of financial technology. The method includes: acquiring financial data information and information about questions to be answered; representing the financial data information using knowledge representation to create a first data structure and a second data structure; creating an insurance dataset based on the first and second data structures; training a preset natural language model using the insurance dataset to obtain an automatic question-answering language model; responding to a user's search instruction by performing text analysis on the information about questions to be answered to obtain analysis results; retrieving answers based on the automatic question-answering language model and the insurance dataset to obtain a search set; and converting the user's search instruction into a request to transfer the user to human assistance when the search set is empty or does not contain a preset answer statement. This application can improve the efficiency and quality of problem handling and service.

This application provides a website retrieval method and apparatus that can improve the accuracy of search engine retrieval results and increase the efficiency of obtaining target websites. The method includes: determining at least one key subtext in the initial search text based on its part-of-speech tagging; performing semantic-based transformation processing on each key subtext according to its semantics to generate representative text corresponding to each key subtext and related to the identification information of the website to be retrieved; determining a first search text based on the position of each key subtext in the initial search text and the representative text corresponding to each key subtext; and retrieving the first search text using a search engine to obtain a first target website.

The application discloses a data intelligent retrieval and access method and system in the field of space science, and the method comprises the following steps: according to the text input by a user, adopting a word segmentation model and a word embedding model respectively, mapping the text to corresponding key words and embedding vectors, and forming double-path recall retrieval results of a data set based on key word matching and embedding vector similarity matching; based on a rearrangement model, reordering the two kinds of retrieval results of the data set to form a query result of the data set granularity; according to the text input by the user, a data sample and a selected data set, adopting a pre-constructed machine feature extraction model, extracting a vector representation of user retrieval information, and based on vector similarity matching, retrieving data files in the data set to form a query result of the data file granularity; based on a pre-established optimal affine transformation function and a metric space, quantitatively calculating the data similarity with respect to a retrieval sample in terms of distance to obtain a retrieval result.

This invention discloses a method and system for video diagnosis of power system faults based on spatiotemporal semantic fusion, relating to the fields of power system fault detection, computer vision, and multimodal information fusion. The method involves acquiring fault videos and dividing them into multiple video sub-segments. For each video sub-segment, a CLIP image encoder is used to extract spatial feature vectors from each frame, resulting in a corresponding spatial feature sequence. This spatial feature sequence, after being embedded with positional information, is input into a temporal Transformer encoder. A self-attention mechanism is used to calculate the internal temporal relationships, and these are aggregated to obtain a sub-segment feature vector representing the dynamic features of that video sub-segment. Text describing the power system fault is collected, and a CLIP text encoder is used to extract text feature vectors for each fault text. Cross-modal similarity matching is performed between the sub-segment feature vectors and the text feature vectors, and the matching result with the highest similarity score is used as the fault diagnosis result. This invention has significant advantages for the identification of complex dynamic fault events.

This invention discloses a method, medium, device, and product for interpreting and delivering evidence chains in soil inversion based on confirmatory ablation, relating to the field of soil information inversion technology. The method includes: dividing joint input features into a set of interpretation objects according to interpretation granularity, and constructing an ablation baseline for the interpretation objects; constructing an ablation input based on the ablation baseline; inputting the ablation input and joint feature vector into a trained soil inversion model, respectively, and calculating the evidence contribution of the interpretation objects based on the two prediction results; extracting Top-K evidence to form pixel-level evidence entries; dividing all pixels into regional units according to governance units, constructing a regional evidence ranking score, and extracting the Top-K evidence entries from the regional units to form a regional evidence summary; outputting the prediction results and regional evidence summaries according to preset field semantic specifications as an interpretation list and interpretation layer, and generating an index file. This invention solves the problem of the lack of a verifiable evidence interpretation mechanism in existing technologies.