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40results about How to "Sort results are accurate" patented technology
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Large-scale human face image searching method
InactiveCN102982165AImprove scalabilityAvoid linear searchCharacter and pattern recognitionSpecial data processing applicationsSorting algorithmResearch efficiency
The invention discloses a large-scale human face image searching method. The method comprises the following steps of preprocessing human face images; extracting local characteristics from the human face images; extracting overall geometrical characteristics from the human face images; quantifying the local characteristics; quantifying the overall geometrical characteristics; establishing a reverse index; searching a candidate human face image set; and re-arranging the candidate human face image set. By the method, an index for a large-scale human face image database can be established, quick human face research is realized, and the research efficiency is realized. In addition, the accuracy of human face research is improved by embedding an auxiliary information characteristic quantifying and candidate human face image set re-arranging algorithm. Effective and accurate large-scale human face image search is realized by the method, so that the method has higher use value.
Owner:NANJING UNIV
Quick multi-keyword semantic sorting search method for protecting data privacy in cloud computing
ActiveCN106951411AQuick filterShorten the timeSemantic analysisSpecial data processing applicationsComputational semanticsCiphertext
The invention relates to a quick multi-keyword semantic sorting search method for protecting data privacy in cloud computing. A domain weighted scoring concept is introduced in document scoring, and keywords in different domains such as a title, an abstract and the like are endowed with different weights to be distinguished; a retrieval keyword is subjected to semantic expansion, semantic similarity is calculated, a three-factor sorting method is designed by combining the semantic similarity, the domain weighted scoring and a correlation score, and a cloud server can perform accurate sorting on search results and return a sorting result to a search user; and for the defect of low query efficiency of a searchable encryption scheme, a vector block segmentation marking matching algorithm is designed, and a document vector created by a vector space model is subjected to block segmentation to generate a marking vector with a relatively small dimension number. According to the method, the query efficiency can be improved, the index creation time can be shortened, and semantic ciphertext keyword search is realized.
Owner:FUZHOU UNIV
Fuzzy multi-keyword retrieval method of encrypted data in cloud environment
ActiveCN106326360AAchieve retrievalImprove securityDatabase queryingTransmissionDimensionality reductionCiphertext
The invention discloses a fuzzy multi-keyword retrieval method of encrypted data in cloud environment. A file is subjected to set encryption by a data owner to generate a ciphertext file; keywords are extracted from each file; the keywords are subjected to binary segmentation and vectorization to obtain a binary vector group; the binary vector group is subjected to dimensionality reduction and is then inserted into a counting type bloom filter to generate index vectors; each index vector is encrypted to obtain a security index; the ciphertext file and the security indexes are sent to a cloud server; a pre-authorized data user or the data owner extracts the keywords from query data; binary segmentation and vectorization are performed to generate a query vector; encryption is performed to obtain a trap door; the trap door is sent to the cloud server; the cloud server obtains a certain number of files with the highest relevancy degree through query according to the trap door and the security index; after sorting, the files are returned to the data owner. The large data volume of ciphertext multi-keyword retrieval is supported; compared with the prior art, the method has the advantages that the index building and query processes are more efficient; the sorting result is more accurate; the data privacy is effectively protected.
Owner:WUHAN UNIV OF SCI & TECH
Method and device for recommending website
ActiveCN102999586AEasy to operateMeet individual needsSpecial data processing applicationsPersonalizationAccess time
Owner:XIAOMI INC
Search result ordering method and system
InactiveCN102081776AImprove user experiencePrevent cheatingMarketingSpecial data processing applicationsOrder systemTraffic volume
The invention discloses a search result ordering method and a search result ordering system. The method comprises the following steps of: receiving query conditions of a user; searching a data storage module according to the query conditions to obtain at least one commodity and one commodity price corresponding to the commodity; acquiring position information of the user, and calculating commodity freight matched with the position information; adding the commodity price and the commodity freight to obtain a total commodity price corresponding to the commodity; ordering the commodity according to the total commodity price to obtain a search result; and outputting the search result. The method and the system have the advantages of improving the use experience of the user, promoting the search efficiency, saving the network traffic and effectively avoiding the cheating behavior of a merchant.
Owner:BAIDU ONLINE NETWORK TECH (BEIJIBG) CO LTD
Realization method for discovering important users of social network
InactiveCN105335892AAvoid falling intoImprove robustnessData processing applicationsDangling nodeImproved algorithm
The invention discloses a realization method for discovering important users of a social network. According to the method, when the ability of different users in a network to influence each other is solved, node similarity is put forward to measure the degree to which a node is influenced by a neighbor node thereof, and the importance of a node is obtained by comprehensively considering the local influence and global influence of the node. The method of the invention has the following advantages: (1) by using the LeaderRank algorithm as an improved algorithm, the possibility that the PageRank algorithm is trapped in a dangling node is avoided, and the convergence speed of the algorithm is increased; (2) node similarity calculation takes into consideration the incoming edge and the outgoing edge of nodes; and (3) the local and global functions of nodes are considered comprehensively, and the accuracy of the algorithm is improved.
Owner:NANJING UNIV OF POSTS & TELECOMM
Ordering method and device
InactiveCN105893561AAvoid malicious brushing of the listSort results are fairSpecial data processing applicationsData miningComputer science
The embodiment of the invention provides an ordering method and device. The method comprises the specific steps of conducting one-time normalizing root-extraction processing on ordering characteristics of ordering objects, so that a corresponding normalizing root-extraction result is obtained, wherein the number of the ordering characteristics is greater than two; according to the normalizing root-extraction result and weight corresponding to the ordering characteristics, obtaining comprehensive scores of the ordering objects; according to the comprehensive scores, ordering the ordering objects, so that a corresponding ordering result is obtained. By means of the ordering method and device, fairness and accuracy of the ordering result can be improved.
Owner:BEIJING QIYI CENTURY SCI & TECH CO LTD
Method and system for sequencing search entries
ActiveCN104598611ASort results are accurateBiological neural network modelsSpecial data processing applicationsSequence searchGenetics
The invention provides a method and a system for sequencing search entries. The method comprises the following steps: expressing an inquiry text into a vector according a word order through a neural network; computing sequencing scores between the inquiry text and the search entries according to the expressed vector through the neural network; sequencing the search entries according to the computed sequencing scores. By adopting the method and the system, search sequencing can be performed under the consideration of matching of polysemy and synonyms and the word order of words, and more accurate sequencing results can be given.
Owner:BAIDU ONLINE NETWORK TECH (BEIJIBG) CO LTD
A pedestrian re-identification method based on a group information loss function
ActiveCN109711366ASort results are accurateStrong discriminationCharacter and pattern recognitionNeural architecturesNetwork structureRe identification
The invention discloses a pedestrian re-identification method based on a group information loss function. According to the method, the hypergraph is used for modeling, learning and expressing the group information of the training samples, and a loss function containing the group information is provided. Different from a conventional reordering method in pedestrian re-identification, the method introduces group information into a training process of a neural network. Meanwhile, the method can improve the expression ability and robustness of the trained features for different basic network structures.
Owner:ZHEJIANG UNIV
Implementation method for discovering important users of weighting network
InactiveCN105761153AFully consider the centralityReduce computational complexityData processing applicationsData switching networksDistributed computingWeighted network
The invention discloses an implementation method for discovering important users of a weighting network. When solving the ability of different users in a network to influence each other, the method introduces second-layer neighbor node topology of a node to define expenses for maintaining an edge relation of the node, and the method comprehensively considers node bridging importance and node centrality, thereby obtaining importance of the node. The method adopts a structure hole theory to measure the importance of the node, fully considers the centrality of the node, introduces the second-layer neighbor topology of the node, and distinguishes importance of bridging points of different properties. The method comprehensively considers bridging and centrality functions of the node, thereby improving accuracy of an algorithm.
Owner:NANJING UNIV OF POSTS & TELECOMM
Method for sequencing objects included in heterogeneous information network
ActiveCN103559318ASort results are accurateWeb data indexingSpecial data processing applicationsNetwork mappingComputer science
The embodiment of the invention discloses a method for sequencing objects included in a heterogeneous information network. The method comprises the following steps: acquiring the heterogeneous information network including N object types, wherein the N is larger than 1; sequentially selecting one of the N object types as a center type, mapping the heterogeneous information network into N sub-networks, each sub-network is constituted by one center type, a support type relative to the center type and a link between the center type and the support type; the N sub-networks constitute a sub-network sequence ring; selecting one sub-network from the sub-network sequence ring at random serving as the current sub-network; sequencing objects in the current sub-network; judging that whether the sequencing result is stable or not; outputting the sequencing result if the sequencing result is stable. Compared with the prior art, the method has the advantage that when the objects in the heterogeneous information network are sequenced, semantic information such as object type is utilized, so that the sequencing result is relatively accurate.
Owner:BEIJING UNIV OF POSTS & TELECOMM
Method and device for sequencing according to contribution degree
ActiveCN103186647AMeet usage habitsSort results are accurateSpecial data processing applicationsComputational biology
Owner:BEIJING KINGSOFT OFFICE SOFTWARE INC
Object ordering method based on user setting and device thereof
InactiveCN105761106AMeet expectationsImprove user experienceSpecial data processing applicationsMarket data gatheringHuman–computer interactionOrder set
The objective of the invention is to provide an object ordering method based on user setting and a device thereof. The dimension of an object to be ordered set by a user and the corresponding weight of the dimension are acquired; the score of the object to be ordered is calculated according to the dimension and the corresponding weight thereof; the object to be ordered is ordered according to the score, and the order object is acquired; and the order object is provided for the user. Compared with the methods and the devices in the prior art, the dimension and the corresponding weight of the object to be ordered are set by the user so that the ordered object is enabled to further meet the expectations of the user, and use experience of the user can be enhanced.
Owner:徐璇炫
Social network opinion leader sorting algorithm based on multidimensional characteristic analysis
PendingCN107729455AAvoid the influence of subjective factorsSort results are accurateData processing applicationsData switching networksSorting algorithmEntropy weight method
The invention discloses a social network opinion leader sorting algorithm based on multidimensional characteristic analysis, comprising: a, analyzing user characteristics in the terms of structure, behavior and topic, and calculating their characteristic values; b, using the entropy weight method to calculate weights of the different characteristics; c, acquiring characteristic values of S(u), B(u) and T(u) in conjunction with the step a, acquiring weight wj in conjunction with the step b, calculating value of F(u) function according to the MFP (mining frequent patterns) algorithm, and generating a sorting result according to the value of the F(u) function. The social network opinion leader sorting algorithm based on multidimensional characteristic analysis comprehensively considers multiple characteristics that are influential to information spread, including structural characteristic, behavior characteristic and topic characteristic; the entropy weight method is used to calculate weights of their characteristics, the influence of subjective judgment is avoided, and sorting in the final result is more accurate.
Owner:SHANDONG UNIV OF SCI & TECH
Text similarity ordering method based on ES search
InactiveCN107943762ASort results are accurateUnstructured textual data retrievalNatural language data processingCosine similarityAlgorithm
The invention belongs to the technical field of big data and discloses a text similarity ordering method based on ES search. According to the method, the position order of text words is considered inan algorithm to calculate similarity degrees among texts, therefore, the problem that texts with identical words and non-identical serial numbers cannot be ordered through ES search is solved, and theaccuracy of ES text similarity ordering is improved. The method comprises the steps that a, ES preliminary search is performed to obtain a similar text set; b, text word segmentation is performed toobtain a segmented word set; c, on the basis of the segmented word set, vectorized expression is performed on the texts after word segmentation; d, the similarity degrees among text vectors are measured through cosine similarities; and e, similarity reordering is performed on the texts according to cosine similarity values.
Owner:SICHUAN CHANGHONG ELECTRIC CO LTD
Fast iterative ordering method and fast iterative ordering system for search engines
InactiveCN106777088AEasy accessGuaranteed persistenceSpecial data processing applicationsModel descriptionRelational database
The invention discloses a fast iterative ordering method for search engines. The fast iterative ordering method comprises an offline step and an online step, wherein the offline step comprises the following specific steps: training to obtain a plurality of candidate online ordering models, carrying out storing and proportional distribution on all the ordering models, and storing the ordering models and proportions into a search server cache database at fixed time for reading by the online step; the online step comprises the following specific steps: receiving user requests and distributing the ordering models according to user information, retrieving related files from an index, reading the ordering models in the search server cache database, calculating the priority and returning to users, and counting search behaviors of the users at present time. According to the fast iterative ordering method disclosed by the invention, by a set ordering model description mode, one ordering model can be described by using a character string, and then is sequentially stored into a relational database and a key-value database through a graphical interface and a timing task, so that the persistence of data storage can be guaranteed, and online service can quickly acquire the data.
Owner:FLYING FOX INFORMATION TECH TIANJIN CO LTD
Voice recognition method, device and equipment and computer readable storage medium
PendingCN111554276ASort results are accurateAccurate Speech Recognition ResultsSpeech recognitionVoice dataEngineering
The invention discloses a voice recognition method, device and system, and a computer readable storage medium. The method comprises the steps: carrying out the voice recognition of to-be-recognized voice data, and obtaining each first candidate result of the to-be-recognized voice data; obtaining feature data corresponding to each first candidate result, and inputting each piece of feature data into a pre-trained sorting model to obtain the sorting result of each first candidate result; and selecting a target candidate result from the first candidate results as the voice recognition result ofthe to-be-recognized voice data according to the sorting result. Compared with a linear score combination mode set according to human experience, a more accurate sorting result can be obtained, so that a more accurate voice recognition result can be obtained.
Owner:WEBANK (CHINA)
Method for mining key users in social networks
InactiveCN107316246AFast convergenceSort results are accurateData processing applicationsPagerank algorithmData mining
The present invention relates to a method for mining key users in social networks. The method comprises: a. calculating the authority of introducing a website by using an Au-PageRank algorithm; b. calculating the probability that a user browses a page in the next step by using a 2S-PageRank algorithm; and c. combining the authority obtained in step a with the probability of page browsing obtained in step b, so that the user take one more step while further surfing the internet, the Au-2S-PageRank algorithm is obtained, and the ranking result is generated through the Au-2S-PageRank algorithm. According to the method for mining key users in social networks provided by the present invention, the Au-PageRank algorithm is combined with the 2S-PageRank algorithm to form the Au-2S-PageRank algorithm, so that the effect of the classical PageRank algorithm on the result due to the average allocation weight is solved, the convergence speed can be accelerated when calculating, and the ranking result is more accurate.
Owner:SHANDONG UNIV OF SCI & TECH
Method for calculating importance of node in power CPS system based on analytic hierarchy process
The invention relates to a method for calculating the importance of node in a power CPS system based on an analytic hierarchy process, and the method comprises the steps: analyzing a target, buildinga hierarchical structure based on the analytic hierarchy process, and building judgment matrixes according to the evaluation index data of the importance of the node of an information network; calculating a weight between each two adjacent layers according to the judgment matrix of each layer, obtaining the weight sequence between a bottom layer element and a target, and obtaining the importance sequence of the nodes. The method can solve a problem of how to evaluate the importance of the nodes through a plurality of indexes, reduces the subjectivity of weight selection to a certain degree, and obtains a more objective and complete result.
Owner:NANJING UNIV OF POSTS & TELECOMM
Supplier selection method based on Pictomega fuzzy set and VIKOR
PendingCN111784109ASort results are accurateAccurate descriptionBuying/selling/leasing transactionsResourcesData miningEvaluation data
The invention provides a supplier selection method based on a Pictgomery fuzzy set and VIKOR, and belongs to the technical field of supplier evaluation and selection. The supplier selection method based on the Pictgomery fuzzy set and the VIKOR comprises the steps of adopting the Pictgomery fuzzy set for evaluating alternative suppliers and evaluating index importance; respectively calculating subjective weights and objective weights of the evaluation indexes according to the evaluation data, and obtaining combined weights; and according to the alternative scheme evaluation and each evaluationindex weight, sorting the alternative suppliers by using a VIKOR method based on a Bigomery fuzzy set and determining an optimal supplier.
Owner:SHANGHAI UNIV
Road congestion reason identification method
InactiveCN112950934ASort results are accurateThe recognition result is accurateDetection of traffic movementMachine learningSimulationRoad networks
The invention provides a road congestion reason identification method, which mainly solves the problem that the existing method ignores the causal relationship of traffic elements and is not suitable for a large-range road network. According to the implementation scheme, on the basis of a gradient enhanced decision tree GBDT method, corresponding explanatory variables are obtained according to multiple traffic factors including the number of lanes, traffic flow and a signal control strategy which are easy to obtain, the variables are used for modeling the performance of a road network, training testing and parameter optimization are carried out on a model, and the average vehicle speed in the road network is predicted by using the optimized model, and the factors influencing the performance of the road network are sorted based on the model, thereby identifying the root cause of the traffic congestion. According to the method, contribution of various factors in a road network to road congestion is observed by using a gradient enhancement decision tree method, the factors causing the congestion are found, the reasons causing the traffic congestion are effectively identified, and the result is accurate and reliable.
Owner:XIDIAN UNIV
Data sorting method and device
ActiveCN114490786AUniform quantityImprove topN accuracyRelational databasesCharacter and pattern recognitionPositive sampleData set
The embodiment of the invention provides a data sorting method and device, and the method comprises the steps: selecting a first number of online business data from a plurality of online business data corresponding to a target feature category under each feature dimension, inputting the selected online business data into a sorting model, and obtaining a corresponding sorting result, and a second number of to-be-processed target business events are determined based on the sorting result, that is, online business data input to the sorting model are selected under the target feature category of each feature dimension, and the target accuracy rate corresponding to the target feature category meets a preset condition. The target accuracy rate can represent the quantity proportion of the positive samples which are predicted correctly in the first quantity, so that a certain quantity of online business data is selected under the target feature categories of the plurality of feature dimensions, and more positive samples can be selected; therefore, the number of positive and negative samples input into the second business data set of the sorting model is ensured to be more balanced, and the topN accuracy of the sorting model is improved.
Owner:MASHANG CONSUMER FINANCE CO LTD
Judicial text-oriented search sorting method and system
ActiveCN110347812AMatching results are reliableSort results are accurateDigital data information retrievalNatural language data processingFeature vectorAcquired characteristic
The invention discloses a judicial text-oriented search sorting method and system. The judicial text-oriented search sorting method comprises the steps: (1) data preprocessing: collecting judicial text data Doc and a legal consultation question Query, carrying out the word segmentation of the collected judicial text data Doc, and pre-training a judicial text word vector through the word-segmenteddata; (2) constructing a similarity matrix: constructing a similarity matching matrix M of Query and Doc by adopting pre-trained word vectors; (3) intercepting correlation text fragments: extracting local correlation text fragments according to a matching matrix M of Query and Doc, splicing a plurality of local correlation text fragments together to obtain a correlation text Ds, and splicing matching matrixes of a plurality of corresponding local correlation text fragments together to obtain a matrix Ms; (4) constructing a feature vector: calculating global correlation between Query and the correlation text Ds, and constructing a feature vector F; and (5) calculating a matching value and sorting: inputting the obtained feature vector F into a neural network model to obtain a matching scoreof Query and Doc, and sorting according to the size of the matching score.
Owner:ENJOYOR COMPANY LIMITED
Document retrieval method and device
ActiveCN102567420AMeet needsSort results are accurateSpecial data processing applicationsInformation processingDocumentation
The embodiment of the invention discloses a document retrieval method and device, relating to the field of computer information processing. The method and the device are used for solving the problem that the retrieval results can not be sequenced according to the positions of retrieval segmented words in the documents and the data length of the documents. The method comprises the following steps: sequencing a plurality of retrieved documents according to the positions of the retrieval segmented words in the retrieval keywords in the retrieved documents and the data length of the retrieved documents after retrieving a plurality of documents containing the retrieval segmented words in the retrieval keywords; and returning the retrieved documents as the retrieval results according to the sequencing result of the retrieved documents. Visibly, the retrieval results can be sequenced according to the positions of the retrieval segmented words in the documents and the data length of the documents by adopting the method and the device.
Owner:NEW FOUNDER HLDG DEV LLC +1
Maintenance technician recommendation method and device and storage medium
PendingCN110276013AImprove experienceSort results are accurateDigital data information retrievalMarketingTechnicianReliability engineering
The invention discloses a maintenance technician recommendation method and device, and a storage medium. The method comprises the steps of obtaining a maintenance demand of a user; extracting maintenance demand parameters in the maintenance demand; obtaining maintenance technicians matched with the maintenance demand parameters from a technician database as a recommendation candidate set; and sorting the maintenance technicians in the recommendation candidate set according to the evaluation grades of the maintenance technicians, and outputting a sorting result. So visible, compared with the prior art in which a distance recommendation method is adopted, according to the method, the recommended candidate set is obtained according to the matching degree with the maintenance demand parameters, the maintenance technicians in the recommended candidate set are ranked according to the evaluation level of the maintenance technicians, the maintenance level of the recommended maintenance technicians is more consistent with the maintenance demand of the user, namely, the recommendation result of the method is more accurate, and the user experience can be improved.
Owner:LAUNCH TECH CO LTD
A fuzzy multi-keyword retrieval method for ciphertext data in cloud environment
ActiveCN106326360BAchieve retrievalImprove securityDatabase queryingTransmissionCiphertextDimensionality reduction
The invention discloses a fuzzy multi-keyword retrieval method of encrypted data in cloud environment. A file is subjected to set encryption by a data owner to generate a ciphertext file; keywords are extracted from each file; the keywords are subjected to binary segmentation and vectorization to obtain a binary vector group; the binary vector group is subjected to dimensionality reduction and is then inserted into a counting type bloom filter to generate index vectors; each index vector is encrypted to obtain a security index; the ciphertext file and the security indexes are sent to a cloud server; a pre-authorized data user or the data owner extracts the keywords from query data; binary segmentation and vectorization are performed to generate a query vector; encryption is performed to obtain a trap door; the trap door is sent to the cloud server; the cloud server obtains a certain number of files with the highest relevancy degree through query according to the trap door and the security index; after sorting, the files are returned to the data owner. The large data volume of ciphertext multi-keyword retrieval is supported; compared with the prior art, the method has the advantages that the index building and query processes are more efficient; the sorting result is more accurate; the data privacy is effectively protected.
Owner:WUHAN UNIV OF SCI & TECH
Information publishing method and system for social website
ActiveCN102819529AReduce access burdenEasy to operateSpecial data processing applicationsWorld Wide Web
The invention provides an information publishing method for a social website. The method includes receiving a user's request; and determining a user type; and returning a corresponding information sequencing result according to the user type and the user request, wherein the user type is determined by user historical data and pre-established user vector quantity. The invention further provides an information publishing system for the social website for achieving the method. According to the method and the system, the sequencing problem of various information cannot be performed according to user types in the prior art can be solved.
Owner:ALIBABA GRP HLDG LTD
A Method for Ranking Objects in Heterogeneous Networks
ActiveCN103559320BTake advantage ofSort results are accurateWeb data indexingSpecial data processing applicationsHeterogeneous networkStationary distribution
The embodiment of the invention discloses a method for sequencing objects in a heterogeneous network. The method is characterized by comprising the following steps: acquiring a first target type and a second target type; converting the heterogeneous network into a bipartite network constituted by the first target type, the second target type and a path between the first target type and the second target type; converting the bipartite network into a corresponding tensor X; acquiring the reachable probability stationary distribution during random walk in the tensor X; sequencing objects in the first target type, objects in the second target type and the path between the first target type and the second target type according to the reachable probability stationary distribution. Compared with the prior art, the method has the advantage that when the objects in the heterogeneous network are sequenced, not only can the path be used to capture semantic information, but also the semantic information can be fully utilized, so that the sequencing result is relatively accurate.
Owner:北京海致星图科技有限公司
Method and device for website recommendation
ActiveCN102999586BEasy to operateMeet individual needsSpecial data processing applicationsPersonalizationWeb site
Owner:XIAOMI INC
A method and system for searching and sorting judicial texts
ActiveCN110347812BMatching results are reliableSort results are accurateDigital data information retrievalNatural language data processingFeature vectorNetwork model
Owner:ENJOYOR COMPANY LIMITED
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