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124 results about "Case-based reasoning" patented technology
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Case-based reasoning (CBR), broadly construed, is the process of solving new problems based on the solutions of similar past problems. An auto mechanic who fixes an engine by recalling another car that exhibited similar symptoms is using case-based reasoning. A lawyer who advocates a particular outcome in a trial based on legal precedents or a judge who creates case law is using case-based reasoning. So, too, an engineer copying working elements of nature (practicing biomimicry), is treating nature as a database of solutions to problems. Case-based reasoning is a prominent type of analogy solution making.
Systems and methods for dynamic detection and prevention of electronic fraud
The present invention provides systems and methods for dynamic detection and prevention of electronic fraud and network intrusion using an integrated set of intelligent technologies. The intelligent technologies include neural networks, multi-agents, data mining, case-based reasoning, rule-based reasoning, fuzzy logic, constraint programming, and genetic algorithms. The systems and methods of the present invention involve a fraud detection and prevention model that successfully detects and prevents electronic fraud and network intrusion in real-time. The model is not sensitive to known or unknown different types of fraud or network intrusion attacks, and can be used to detect and prevent fraud and network intrusion across multiple networks and industries.
Owner:BRIGHTERION
Personalized Fit and Functional Designed Medical Prostheses and Surgical Instruments and Methods for Making
ActiveUS20130245801A1Simple designFast learningMedical simulationAdditive manufacturing apparatusPersonalizationManufacturing technology
Methods, devices and systems for virtual, remote and real-time collaboration between surgeons and engineers using system learning and intelligent and timely disbursement of design and performance information to engineering teams embarking on the preliminary design event of a personalized orthopedic implant or personalize surgical instrument utilizing a case-based reasoning expert system. Additive manufacturing technology and statistically controlled advanced manufacturing processes quickly produce personalized medical devices worldwide.
Owner:SCHROEDER JAMES
Systems and methods for dynamic detection and prevention of electronic fraud
ActiveUS7721336B1Digital data processing detailsAnalogue secracy/subscription systemsAlgorithmGenetic algorithm
The present invention provides systems and methods for dynamic detection and prevention of electronic fraud and network intrusion using an integrated set of intelligent technologies. The intelligent technologies include neural networks, multi-agents, data mining, case-based reasoning, rule-based reasoning, fuzzy logic, constraint programming, and genetic algorithms. The systems and methods of the present invention involve a fraud detection and prevention model that successfully detects and prevents electronic fraud and network intrusion in real-time. The model is not sensitive to known or unknown different types of fraud or network intrusion attacks, and can be used to detect and prevent fraud and network intrusion across multiple networks and industries.
Owner:BRIGHTERION
Case-based reasoning system and method with a search engine that compares the input tokens with view tokens for matching cases within view
A case-based reasoning system includes a case database capable of storing a plurality of cases that each include one or more attributes. A view generator in the case-based reasoning system generates a view of the case database by representing each case within at least a selected subset of the plurality of cases within the case database with one or more uniform-length view tokens. An input parser in the case-based reasoning system provides a tokenized representation of an input incident that includes one or more input tokens. The case-based reasoning system further includes a search engine that compares the input tokens with the view tokens to identify one or more closely matching cases within the view. By searching the view rather than directly searching the case database, cases that closely match the input are efficiently identified.
Owner:IBM CORP
Case-based reasoning system and method for scoring cases in a case database
A case-based reasoning system is disclosed that includes a case database and a search engine. The case database is capable of storing a plurality of cases that each include one or more attributes that each have an associated match weight. Match weights of attributes in different cases are separately specified. In response to receipt of an incident including one or more input terms, the search engine scores the relative closeness of a selected case to the incident utilizing the match weights of attributes in the selected case that match input terms in the incident.
Owner:IBM CORP
Method and system for monitoring a drilling operation
ActiveUS8170800B2Updating displayElectric/magnetic detection for well-loggingKnowledge representationData streamRadar
The present invention provides a computer-implemented software tool that is adapted to listen continuously to data streams from a drilling operation and to process the data to generate a situation description for a current drilling situation in a form useful for automated continuous matching with a set of past cases stored in a knowledge database. The invention implements a case-based reasoning (CBR) approach to match the current drilling situation as defined by the situation description with one or more stored past cases having a degree of similarity above a predetermined threshold level. Matching cases are displayed to the drilling engineer as symbols on a case “radar”, allowing the drilling engineer to retrieve and view the details of a past case and take appropriate action based on drilling advice provided within the past case.
Owner:BAKER HUGHES INC
Case-based reasoning system and method for scoring cases in a case database
Owner:INT BUSINESS MASCH CORP
Intelligent urban construction examining and approving method based on case-based reasoning technology
ActiveCN104573106AImprove efficiencyReduce workloadOffice automationSpecial data processing applicationsFull text searchMap reduce
The invention discloses an intelligent urban construction examining and approving method based on a case-based reasoning technology. The intelligent urban construction examining and approving method based on the case-based reasoning technology comprises the following steps of constructing an examining and approving case library; inputting new examining and approving case and model parameter information; submitting jogs to a Hadoop cluster to search KNN (k-nearest neighbor algorithm) Map Reduce cases; statistically analyzing a searching result on the basis of a 'weighted integral model'; evaluating and correcting the cases; and performing distributed full-text searching on examining and approving data. The intelligent urban construction examining and approving method has the advantages that by the method, the circumstance of manual examination and approval application at present can be changed, the work efficiency is improved, the basis on examining and approving is increased, and an examining and approving process is intelligent. Distributed searching can be carried out by using a Hadoop frame and a MapReduce frame through a cloud computing center, and a distributed case searching model based on the case-based reasoning technology is established. The 'weighted integral model' is creatively raised to statistically analyzing searched similar cases, and a guidance which is beneficial to new examining and approving cases is obtained.
Owner:ZHEJIANG UNIV CITY COLLEGE
Automobile intelligent fault diagnosis and maintenance auxiliary method and system combining subjective and objective information and cloud model
ActiveCN107168285ATroubleshoot complex situationsShorten maintenance timeElectric testing/monitoringDiagnostic dataObjective information
The invention provides an automobile intelligent fault diagnosis and maintenance auxiliary method and system combining subjective and objective information and a cloud model. The method comprises steps of acquiring automobile objective original diagnosis data through an OBD diagnosis port; carrying out preprocessing on the data, judging whether fault codes are in the preprocessed data, and if yes, analyzing the fault codes and providing automobile maintenance assistance; if no, carrying out quantitative conversion on acquired automobile subjective uncertainty fault sign qualitative value through a cloud model method, and comparing the qualitative value with a standard value in an automobile system standard database, wherein the system automatically diagnoses automobile fault parts initially; diagnosing the automobile fault reason through a case-based reasoning method based on a normal cloud mode; and using the rule-based reasoning to finish diagnosis and elimination of automobile faults. According to the invention, automobile faults caused by a complex condition that an automobile has a fault without a fault code or by damage of non-electronic elements are solved; automobile fault diagnosis can be highly efficiently and rapidly finished; maintenance steps are normalized; and maintenance price is properly set.
Owner:DALIAN UNIV OF TECH
Robot welding technology parameter optimization method based on CBR and RBR
ActiveCN109865916AImprove formulation efficiencyAchieve reuseProgramme-controlled manipulatorWelding accessoriesEngineeringParticle swarm algorithm
The invention relates to a robot welding technology parameter optimization method based on CBR and RBR, and belongs to the technical field of robot welding. The robot welding technology parameter optimization method involves a welding technology input module, a welding technology expert system and a welding technology output module. The welding technology input module receives welding tasks and welding resources and further submits the welding tasks and the welding resources to the welding technology expert system. A query engine in the welding technology expert system reuses historical welding cases, and it enters a reasoning engine for case-based reasoning on the basis of rules if no similar welding technology cases exist. A range value exists in the reasoned welding technology, particleswarm optimization in a welding technology parameter optimization module is adopted for multi-objective optimization of welding technology parameters, the optimal welding technology parameter combination is determined, an exact value is acquired for a welding robot to execute, and robot welding intelligence is realized. Production efficiency can be improved and the effect is remarkable.
Owner:SHANDONG UNIV
Small-signal stability prediction and decision support method
InactiveCN102157949AAvoid Online ComputingPower oscillations reduction/preventionDecision methodsDamping ratio
The invention relates to prediction and decision support method, in particular to a small-signal stability prediction and decision support method. In the invention, the case-based reasoning theory and the OAPID (Oscillatory Active Power Increment Distribution) calculation are creatively adopted, data is measured in real time based on a WAMS (Wide Area Measurement System), and small-signal stability prediction is realized according to the level of similarity between the existing case (especially the operating manner prior to oscillation corresponding to a frequent low-frequency oscillation event recorded by the WAMS) and the current operating manner. On the other hand, if the prediction results show that the weak damping mode exists in the current operating manner or low-frequency oscillation has been occurred, the small signal stability of the system is improved by scheduling according to the operating manner indicated by the case with higher level of matching similarity and the damping ratio meeting conditions by targeting at increasing the damping ratio of the corresponding mode (corresponding weak damping mode or low-frequency oscillation corresponding mode).
Owner:WUHAN UNIV
Evaluation method for soft foundation treatment scheme
InactiveCN105243255AImprove reliabilityFuzzy logic based systemsSpecial data processing applicationsEvaluation resultGrey correlation analysis
The invention discloses an evaluation method for a soft foundation treatment scheme. The method comprises the following multiple steps of: a. classifying whether soft soil is subjected to shallow, medium and deep treatment by applying a case-based reasoning technology; b. determining an evaluation index system with a Delphi method; c. obtaining an evaluation index weight with a combined weighting method combining an entropy weight method with an analytic hierarchy process; d. screening evaluation indexes by applying fuzzy cluster analysis; and e. calculating a grey evaluation weight by applying grey correlation analysis in a grey theory, establishing a fuzzy weight matrix and calculating a final evaluation result with a fuzzy comprehensive evaluation method. According to the method, different theories and methods are applied in links of evaluation work, so that the defect of excessive dependence on expert experience in a conventional evaluation method for a soft foundation treatment scheme is overcome, both expert opinions and actual situations can be reflected, and the reliability of a comprehensive evaluation result is high.
Owner:NORTH CHINA INST OF AEROSPACE ENG
Method for diagnosing engine integrated faults based on fuzzy semanteme network
InactiveCN101666711ASolve the bottleneck problem of difficult fault diagnosis knowledge acquisitionIntelligent fault diagnosisEngine testingInference methodsUser inputNetwork model
Owner:NAVAL AERONAUTICAL & ASTRONAUTICAL UNIV PLA
Method of establishing a process decision support system
A method of establishing a process decision support system. Decision support systems of the kind are used in manufacturing processes, particularly industrial manufacturing processes, to monitor the performance of the processes in view of controlling the processes in order to optimise process production and quality. The method includes collecting process data of a process, collecting operational data of a process, and fusing the process data and operational data to create a fused data set (such as a consolidated rule set) of the process upon which process decisions (such as control decisions) may be taken. The process data and operational data may be fused according to methods of rules-based knowledge fusion, mathematical knowledge fusion, or case-based reasoning knowledge fusion.
Owner:GE INFRASTRUCTURE SOUTH AFRICA PTY
Transformer fault comprehensive diagnosis system and method based on fuzzy association rule
ActiveCN107907783AReflect the actual relationshipImplement diagnosticsTesting dielectric strengthTransformers testingDiagnosis methodsTransformer
The disclosure provides a transformer fault comprehensive diagnosis system based on a fuzzy association rule. The system includes a transformer fault type diagnosis module, a transformer fault location diagnosis module, and a transformer fault comprehensive diagnosis module based on case-based reasoning. The disclosure also provides a transformer fault comprehensive diagnosis method based on a fuzzy association rule. The diagnosis system diagnoses the fault type, the fault location and the fault cause of a transformer, can help the field staff to complete discrimination, and is suitable for the diagnosis of a variety of transformer faults.
Owner:HUNAN WULING POWER TECH CO LTD
Intelligent Plant Development Library Environment
InactiveUS20120072386A1OptimizationGeometric CADKnowledge representationAbductive reasoningCable tray
An intelligent plant development library environment is presented. Contemplated environments comprise an EPC knowledge system capable of incorporating know-how of one or more construction firms in the form of assembly objects. Assembly objects represent construction components (e.g., bolts, cable trays, pipes, processing units, deliverables, etc.) that can be incorporated into a plant design. Assembly objects are stored in an assembly database and include available contexts considered relevant to the assembly objects. An inference engine is utilized to derive a specified context related to a plant design from one or more design tools. The inference engine applies rule sets to infer which assembly objects to instantiate as construction objects. The inference engine can further configure the design tools to incorporate the instantiated construction objects into a plant construction project model. Example rule sets include forward chaining rules, backward chaining rules, case-based reasoning rules, inductive reasoning rules, or abductive reasoning rules.
Owner:FLUOR TECH CORP
Construction and service method for vegetable insect pest diagnosis expert system
With frequent occurrence and severe harm of vegetable insect pests, agricultural benefits are reduced and consumer health is threatened because of improper insect pest diagnosis and control measures. The improvement of insect pest control level can guarantee large-scale plantation, high yield and high quality of vegetables, and an insect pest diagnosis expert system can assist in diagnosing insect pests and relieving the contradiction of low quality of agricultural planting personnel and insufficient plant protection experts. Aiming at vegetable insect pest occurrence characteristics, by simulating an analysis mode of insect pest diagnosis of plant protection experts, fully considering ways of thinking of users and adopting a case-based reasoning mechanism, an insect pest diagnosis expert system constructing method comprising contents of new case generation, case library construction, insect pest symptom weight calculation, case retrieval and match, human-machine interactive interface and the like is created and a vegetable insect pest diagnosis expert system taking the method as a core is constructed. Moreover, due to an online edition, a standalone version and a personal digital assistant (PDA) version of the vegetable insect pest diagnosis expert system, multi-channel insect pest diagnosis information technical service is provided for users with different requirements.
Owner:SHANGHAI ACAD OF AGRI SCI
Gear hobbing method
InactiveCN103729525ASolve puzzles with fewer considerationsOvercoming challenges in knowledge acquisitionSpecial data processing applicationsHobbingProcess engineering
The invention discloses a gear hobbing method which is characterized in that during hobbing, optimization decision on gear hobbing process parameters comprises the following specific steps: (1) building a gear hobbing process ontology base; (2) expressing a gear hobbing process parameter decision target space; and (3) performing comprehensive optimization decision on the gear hobbing process parameters. The method disclosed by the invention has the advantages that by using the gear hobbing process domain ontology base stored in a database, the method can realize sharing and reuse of the knowledge about the domain of the gear hobbing, and not only can consider the gear hobbing process parameters as a system but also can solve new optimization decision problems of the gear hobbing process parameters by combining case-based reasoning with analytic hierarchy process during use.
Owner:CHONGQING UNIV
Thickener automatic drug dosing system and method thereof
ActiveCN105435494AQuality improvementImprove efficiencySedimentation separationWater/sewage treatment by flocculation/precipitationAutomatic controlLag
The invention belongs to the technical field of coal preparation plant's slime water treatment link and mainly relates to an automatic addition system and a method of slime water treatment equipment thickener drugs. According to the thickener automatic drug dosing system and the method and mainly in the coal preparation plant's slime water treatment link, a PLC, a reasonable sensor and an execution mechanism and a feedforward+feedback control strategy based on case-based reasoning are adopted. dosage can be modified and optimized in advance through thickener feed concentration and flow signals monitored at real time, and thickener overflow and underflow concentration signals are utilized reasonably. System destabilization caused by feedback signal lag is avoided; problems, such as quality reduction of circulating water from a coal preparation plant, high drug consumption, high water consumption, etc., which are caused by inaccurate measurement of thickener overflow and underflow concentration during slime water treatment process in an existing coal preparation plant, poor reliability of a drug dosing execution mechanism, backward automatic control strategy, etc., are solved; and product quality and benefit of the coal preparation plant are enhanced.
Owner:SHANXI JINMEI GRP TECH RESEACH INST +2
Post-rolling cooling long-termed self-learning method based on case-based reasoning
InactiveCN102284517AImprove setting accuracyPrevent overcoolingWork treatment devicesMetal rolling arrangementsSuper coolingMathematical model
The invention relates to a post-rolling cooling long-termed self-learning method based on case-based reasoning, which belongs to the technical field of rolling. The method comprises the steps: Step 1: case construction; Step 2: case searching; Step 3: case reuse; and Step 4: case correction. The post-rolling cooling long-termed self-learning method based on case-based reasoning has the advantages that: based on a large amount of on-site production data, the method makes decisions for a long-termed self-learning coefficient in a control cooling mathematic model through case construction, case searching, case reuse, case correction and other case-based reasoning technologies beginning with how to effectively utilize empirical knowledge. For rolled steel specifications, the method can effectively prevent heads from a super-cooling phenomenon, and simultaneously can significantly improve the set precision of sheet and strip head final-cooling temperature models. The post-rolling cooling long-termed self-learning method based on case-based reasoning can make post-rolling cooling models possess the self-adaptive capability of changing with working conditions, and can significantly improve the head setting precision of the models.
Owner:NORTHEASTERN UNIV
Methods and systems for providing guidance using case-based reasoning
ActiveUS7228329B2Eliminating old and/or unusable sessionsEfficient implementationMultiple digital computer combinationsOther databases queryingCase-based reasoningCurrent user
Systems and methods of the instant invention may utilize case-based reasoning to provide guidance. Guidance may be provided to a current user of an application in a particular situation based on actions performed by previous users in compatible situations. A repository of sessions reflecting actions performed by previous users may be maintained. In response to a request for guidance, actions performed by the current user prior to requesting guidance may be used to retrieve, from the repository, one or more sessions containing related actions. The retrieved sessions may be evaluated and used to provide guidance to the current user.
Owner:SAP AG
Electrical equipment fault handling and aid decision making method based on case-based reasoning
InactiveCN104715342AImprove troubleshooting efficiencyAlleviate the bottleneck problem of obtaining empirical dataResourcesData miningFault handling
The invention discloses an electrical equipment fault aid decision making method based on case-based reasoning. The electrical equipment fault aid decision making method based on case-based reasoning comprises the following steps: firstly, preprocessing working condition data of electrical equipment to be subjected to fault handing so as to form description information according with a case specificity domain element structure; secondly, carrying out specificity domain distribution according to the description information, and finding a specificity domain corresponding to the description information in an existing case library; thirdly, respectively comparing the description information with every case in the specificity domain obtained in the step two, and respectively calculating similarities sim(Xi,Yi) of every subset in the description information and every case in the specificity domain; and fourthly, according to the calculated results, sorting the similarities of every subset in the description information and every case in the specificity domain from high similarity to low similarity so as to form a fault handing mode suggestion list of electrical equipment to be subjected to fault handling. The electrical equipment fault aid decision making method based on case-based reasoning has high stability and working efficiency.
Owner:STATE GRID SICHUAN ELECTRIC POWER CORP ELECTRIC POWER RES INST +2
Industrial data sample screening method based on complex network community discovery
InactiveCN104572985AImprove forecast accuracyEffective trainingRelational databasesSpecial data processing applicationsNODALAlgorithm
An industrial data sample screening method based on complex network community discovery comprises the steps of firstly using target data structure initial samples as complicated network nodes, calculating distances among the nodes, comparing the distances with interceptive threshold values to obtain an adjacent matrix representing node connecting relation, then using modularity maximization as an optimization objective, performing community discovery in the complicated network represented by the adjacent matrix, obtaining sample community division of corresponding problems under different situations, finally network node 'combination degree' evaluation indexes are provided, descending sorting is conducted on nodes in the network according to a combination degree value, a sample re-structure sample set is selected from each community according to a combination degree value average, and accordingly reduction of data sample sets is achieved under the situation that useful information in an original sample set is retained. Screened data samples are adopted to perform soft measurement, prediction and case-based reasoning, the accuracy of an established model can be further improved, and guarantee is provided for implementation of data-based optimized dispatching in the industrial process.
Owner:DALIAN UNIV OF TECH
Improved power transformer fault diagnosis method
InactiveCN107678870AScientific and reasonable diagnosisEffective prediction of diagnosisFault responseTransformers testingTransformerElectric power system
The invention belongs to the field of power transformer fault diagnosis, and particularly relates to an improved power transformer fault diagnosis method. The general thought of a fault prediction model is that a CBR (Case-Based Reasoning) and RBR (Rule-Based Reasoning) serial reasoning way is used, the number of feature values of a transform is limited due to the particularity of a case, an overhauling strategy can be quickly obtained if retrieval matching can be carried out, reasoning time is saved, the historical experience case is effectively utilized, and the fault diagnosis efficiency ofthe system is improved. When no proper cases can be matched with the cases in a factbase, a rule reasoning way is adopted, a rule conclusion which is generated by reasoning and proves to be accuratecan be taken as the overhauling strategy result of the case, and a new case is formed. By use of the method, the problems in the prior art that elaborative diagnosis can not be carried out, diagnosisfault time cost is high, faults can not be quickly positioned and the like are mainly solved.
Owner:STATE GRID LIAONING ELECTRIC POWER RES INST +2
Method and device for automatically positioning fault points
The embodiment of the invention discloses a method and a device for automatically positioning fault points. The method comprises the following steps: carrying out dialling test height and width parallel routing traversal for service; obtaining the result of the height and width parallel routing traversal; according to the result of the height and width parallel routing traversal, selecting a fault point positioning mode, wherein the fault point positioning mode comprises: case-based reasoning and / or rule-based reasoning; according to the selected fault point positioning mode, positioning the fault point, and obtaining the fault point. The invention realizes that the fault points can be accurately and automatically positioned.
Owner:CHINA MOBILE GROUP ZHEJIANG
Voltage and power flow combined control method considering running cost for active power distribution network
ActiveCN105186498AThere will be no non-convergenceChange topologyAc network circuit arrangementsNear neighborLimit value
The invention discloses a voltage and power flow combined control method considering running cost for an active power distribution network. The method comprises the following steps of: (1) automatically detecting / forecasting voltage and power flow in the network, and judging whether an overrun phenomenon occurs or not; (2) building a case library applicable for voltage control of the active power distribution network; (3) retrieving the case library by a nearest neighbor method in a case-based reasoning when the voltage of arbitrary one bus in the power distribution network is recognized to exceed the limit by the system, and searching out N voltage control methods with highest similarity, wherein N is an integer more than 1; (4) calculating a power flow constraint method by a constraint satisfaction algorithm when the power flow of arbitrary one circuit in the power distribution network is recognized to exceed the limit value by the system; (5) carrying out on-line simulation test on the control method; and (6) optimizing the running cost. By the embodiment of the invention, the safety margin requirement for running of the power distribution network is satisfied in real time, and the running reliability and activeness of the power distribution network is effectively improved; and meanwhile, guidance is provided for running and short-term planning of the power distribution network, and favorable economic benefit and social benefit are achieved.
Owner:STATE GRID CORP OF CHINA +2
System and method for using agent-based distributed case-based reasoning to manage a computer network
InactiveUS7127441B2Effective and efficient of networkDigital computer detailsHardware monitoringDistributed computingCase-based reasoning
The present invention describes a system and method for using agent-based distributed case-based reasoning to manage a computer network. In particular, the system includes interface agents, distributed case-based reasoning agents, and response agents, which run on hosts in the network. An interface agent monitors a resource in the network and reports an event to an appropriate distributed case-based reasoning agent. The distributed case-based reasoning agent, using one or more case bases, determines a response to the event. An appropriate response agent implements the response.
Owner:INTEGRATED MANAGEMENT SYST
Intelligent optimal control method and device for sintered brick tunnel kiln roasting process
The invention discloses an intelligent optimal control method and device for the sintered brick tunnel kiln roasting process. The method comprises the steps that A, an extreme learning machine (ELM) is trained based on a genetic algorithm (GA), and a sintered brick tunnel kiln roasting intelligent prediction model with input as tunnel kiln offline and online data and output as quality of sintered bricks is established; B, according to the initial case of operating experience summary of the sintered brick tunnel kiln production process, an optimal case library comprising multiple sets of historical roasting cases of good finished sintered bricks is established; C, the historical roasting case with the highest similarity to the current working condition is worked out according to a case-based reasoning method, and the optimal temperature value of each zone of a tunnel kiln on the current working condition is obtained; and D, according to the intelligent prediction model and the optimal temperature valve of each zone of the tunnel kiln on the current working condition, the corresponding frequency of a frequency converter is calculated, and the frequency of the frequency converter on the current working condition is adjusted according to the calculation result.
Owner:GUANGXI UNIV
Intelligent learning method based on description logic and case-based reasoning
ActiveCN104573062AComprehensive comparisonMeet the needs of the subject of learningElectrical appliancesSpecial data processing applicationsStudy methodsLearning methods
The invention discloses an intelligent learning method based on description logic and case-based reasoning. The method comprises the steps of respectively calculating text property and data type property of the property of a case by adopting a similarity calculation method based on description logic, and giving out a preliminary result of similarity matching; building a relationship by using pheromone pheromone self-adaption updating and allocation strategy in an ant colony algorithm and case recommendation; giving out the case recommendation to learning subjects at different learning stages in the learning subjects' grades by partitioning the learning grades and problem grades of a learning subject; respectively endowing different weights to the computing results of the above methods, and comprehensively calculating the similarity among the cases; giving out a list of optimal solutions for the existing problem case in a case library through the comprehensive similarity for the selection of a learning subject. Therefore, the learner can learn from mistakes met by the learner quickly.
Owner:GUILIN UNIV OF ELECTRONIC TECH
Method and device for object recommendation
InactiveCN106202474AImprove satisfactionGood for combining short-term preferencesSpecial data processing applicationsShort termsData mining
The invention provides a method for object recommendation. The method comprises the steps of obtaining a dataset of a plurality of users relative to a plurality of object likes, and obtaining a first object recommendation list corresponding to designated users according to a collaborative filtering method; through a case-based reasoning method and by combination with a preset case-based reasoning library, obtaining applicability of a subsolution of objects in the first object recommendation list relative to the designated users; generating a second object recommendation list according to the calculated applicability, and recommending objects to the designated users. Based on the collaborative filtering method, recommendation results are adjusted further through case recommendation, the shortcoming of collaborative filtering is overcome, and the method is favorable for improving object recommendation precision and user satisfaction by combination with user short-term preferences.
Owner:TCL CORPORATION
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