8 results about "Comparison sort" patented technology

The invention provides a sorting method and device based on Paillier homomorphic encryption, electronic equipment and a medium, and the method comprises the steps: obtaining a plurality of ciphertexts issued by a data owner, enabling the data owner to encrypt a plaintext through a public key to obtain the ciphertexts, enabling the public key and a private key to be generated through a preset Paillier homomorphic encryption algorithm, and carrying out the sorting of the public key and the private key based on the length of the public key and the length of the ciphertexts, selecting a weighting coefficient of the ciphertext; obtaining a blinding coefficient based on the public key; performing weighted aggregation on the ciphertexts by adopting the blinding coefficient and the weighting coefficient to respectively obtain weighted ciphertexts corresponding to the plurality of ciphertexts; sending the plurality of weighted ciphertexts to a third-party mechanism and requesting to compare and sort the plurality of weighted ciphertexts; and obtaining a sorting result fed back by the third-party mechanism after comparing and sorting the plurality of weighted ciphertexts. The sorting algorithm is higher in decryption efficiency and more suitable for processing large-scale data sorting tasks.

The invention relates to the technical field of computers and provides a bubble sorting circuit and method, computer equipment and a medium. According to the bubble sorting circuit, parallel comparison sorting is used for replacing serial comparison sorting in the prior art, so that higher sorting efficiency is achieved, hardware resource consumption is reduced by optimizing logic implementation of a bubble sorting algorithm, and the system performance is improved. And under the condition that the number specification of the maximum sorting elements is relatively high, relatively high sorting efficiency and sorting performance can be maintained, so that the system performance and the resource utilization rate can be improved.

The invention provides a multi-stage content quality evaluation method and system based on a large language model, and relates to the technical field of natural language processing. The method comprises the steps of obtaining a to-be-evaluated content data set and an evaluation index corresponding to a data type of the to-be-evaluated content data set; based on the evaluation indexes, utilizing a first large language model to carry out batch multi-dimensional coarse screening on the content data set, obtaining evaluation scores of all content data, sorting the evaluation scores, and filtering and retaining a plurality of content data with the top scores; an improved ELO dynamic scoring mechanism is introduced, a second large language model is used for conducting dynamic pairwise comparison sorting on the filtered content data, final ELO scores of all the content data are obtained and sorted, and an ELO score sorting result serves as a content quality sorting result. According to the method, a large language model is utilized to break through the cognitive depth bottleneck, evaluation objectivity is improved by relying on a dynamic game mechanism, two-stage architecture is combined to balance calculation efficiency and sorting precision, and finally a content quality evaluation universal solution capable of being rapidly adapted to multiple fields is formed.

The invention relates to the technical field of books, and discloses a book recommendation system which comprises an acquisition module, an analysis module and a feedback adjustment module. According to the book recommendation system, keyword classification tags are arranged in tag units, book keyword numbering is carried out on books and the keyword classification tags, and reading features of users are calculated and analyzed according to a user basic information set, a user historical reading information set and a user reading interest set; user keyword numbering is carried out on the reading features and keyword classification labels, then keyword comparison sorting marking is carried out on book keyword numbers and user keyword numbers, the book keyword numbers and the user keyword numbers are sent to a feedback adjustment module, reading feedback is carried out according to recommended sorting marks, and multi-dimensional information of the user is comprehensively analyzed; according to the method and the system, personal interests and demands of the user can be captured more accurately, more personalized book recommendation is provided, the user can find books meeting own interests more quickly, and the system can adjust the books through a feedback mechanism.

The invention discloses a two-party privacy intersection method and system supporting any data scale, and relates to the technical field of data security processing. The method comprises the following steps: acquiring an original data set of two parties needing to interact, and performing bucket separation on the original data of the two parties; deduplication is executed on each sub-bucket in parallel; performing safety protection operation on a single bucket based on the data volume owned by a single sub-bucket after the initiator sub-buckets to generate a corresponding transparent vector linear valuation quantity; based on the transparent vector linear valuation number, the initiator and the receiver perform privacy intersection on the data by using oblivious key value storage; and performing comparison, sorting and search operations on the de-duplicated data in each sub-bucket to obtain the position of the intersection element before de-duplication in the original data sets of the two parties. According to the method, rapid privacy intersection of any scale of data scenes is realized, and a complete and efficient solution is provided for wide landing of privacy set intersection in actual services.

The present application relates to the field of computer technology and provides a bubble sorting circuit, method, computer device and medium. The bubble sorting circuit of the present application not only replaces the serial comparison sorting in the prior art with parallel comparison sorting, thereby having higher sorting efficiency, but also reduces the consumption of hardware resources by optimizing the logic implementation of the bubble sorting algorithm, and can maintain high sorting efficiency and sorting performance even when the number of maximum sorting elements is high, which is conducive to improving system performance and resource utilization.

The invention provides an order-preserving encryption method, a data query method and a data storage method. The order-preserving encryption method comprises the following steps: acquiring plaintext data, and performing order-preserving random mapping on the plaintext data to obtain first order-preserving coded data; carrying out decryptable encryption processing on the plaintext data to obtain decryptable ciphertext data; and splicing the first order-preserving coded data and the decryptable ciphertext data to obtain order-preserving ciphertext data. And according to the size sequence relationship of the first order-preserving codes, operations such as sequence-related comparison sorting query and the like in the secret state database can be quickly completed, and a plaintext form result corresponding to query is obtained. Compared with a common order-preserving encryption algorithm, the order-preserving coding encryption method and device can realize an efficient and safe order-preserving coding encryption function with a controllable ciphertext length.