Product
Patsnap Eureka
For R&D, Patsnap Eureka makes reading and utilizing patents & technical documents easy.
Patsnap Eureka AIR
Designed for self-driven R&D workflows. Generate viable solutions, solve complex R&D challenges, empower your innovation with AI.
Patsnap Eureka Materials
Designed for material experts only. Revolutionize your material R&D, from search, analyze, to developing new materials.
Feature
TechResearch
Generate reliable direction feasibility study reports for your R&D in just a few steps.
TechSeek
Discover and master advanced knowledge NOW. Basics, ideas, possibilities, all at once.
TechMind
As an expert in R&D Theories, TechMind can generates customized viable solutions instantly.
TechRisk
Analyze your overall solution with one click, know your potential R&D risks in advance.
TechMonitor
Get weekly tech updates, stay abreast of the latest tech innovations and key insights.
Patents
Literature
Hiro is an intelligent assistant for R&D personnel, combined with Patent DNA, to facilitate innovative research.
49 results about "Social network model" patented technology
Efficacy Topic
Property
Owner
Technical Advancement
Application Domain
Technology Topic
Technology Field Word
Patent Country/Region
Patent Type
Patent Status
Application Year
Inventor
Targeting Ads by Effectively Combining Behavioral Targeting and Social Networking
A method and system are provided for targeting ads by effectively combining behavioral targeting and social networking. In one example, the method includes receiving a behavioral targeting model to predict a propensity of each consumer in a network to select (e.g., click) an ad of a particular category based on a behavior of each consumer, training a social network model to predict a propensity of a particular consumer to select an ad of the particular category based on features derived from a social network of the particular consumer, and training an ensemble classifier to decide when to trust the behavioral targeting model and when to defer to the social model for predicting a propensity of the particular consumer to select an ad of the particular category.
Owner:YAHOO INC
Social Network Model for Semantic Processing
ActiveUS20100030715A1Improved entity recognitionDigital computer detailsOffice automationNamed-entity recognitionAmbiguity
A social network model, based on data relevant to a user, is used for semantic processing to enable improved entity recognition among text accessed by the user. An entity extraction module of the server, with reference to a general training corpus, general gazetteers, user-specific gazetteers, and entity models, parses text to identify entities. The entities may be, for example, people, organizations, or locations. A social network module of the server builds the social network model implicit in the data accessed by the user. The social network model includes the relationships between entities and an indication of the strength of each relationship. The social network module is also used to disambiguate names and unify entities based on the social network model.
Owner:VULCAN TECH
Stock market investment decision-making method based on network analysis and multi-model fusion
InactiveCN103985055AComplete and Comprehensive UtilizationEnsure real-time requirementsFinanceForecastingNODALNetwork connection
The invention discloses a stock market investment decision-making method based on network analysis and multi-model fusion. The method includes the steps that fundamental information is grabbed from a network and then network nodes and network connection are constructed; a complex social network model is constructed; an investment portfolio is selected by means of a network analysis method and then data involved in the investment portfolio are input into a multi-model fusion frame, wherein the multi-model fusion frame comprises a plurality of sub-models; all the sub-models conduct market trend prediction with different characteristics according to technical information of different characteristics grabbed in the network generate predicted values of the corresponding sub-models, the predicted values are weighted and summated to obtain a comprehensive market trend predicted value, and then corresponding investment strategies are generated according to the comprehensive market trend predicted value. According to the method, risk factors, which are ignored in general researches, of the investment portfolio are comprehensively considered from multiple angles, real-time requirements of the strategies are guaranteed through the methods such as dimension reduction data preselection of fundamentals and technical feature selection, and consequently the more reliable investment strategies are provided.
Owner:XI AN JIAOTONG UNIV
Managing organizational resources
A computer implemented method, apparatus, and computer program product for managing organizational resources. The process combines social group data with management information data to form social network data, wherein social group data is derived from interactions among a plurality of users of a social group. The process analyzes the social network data to identify associations among the plurality of users, and generates a multidimensional social network model using the associations among the plurality of users. Thereafter, the process presents a set of recommendations for allocation of the organizational resources, wherein the set of recommendations are derived from the social network model.
Owner:IBM CORP
Networking systems and methods for facilitating communication and collaboration using a social-networking and interactive approach
Systems, methods, and techniques for providing a dynamic platform for educators and businesses to employ a networking-based approach to course management and / or training through the use of social networking models. The computer-aided system and method facilitate global user collaboration and communication across a network-based learning environment through the use of various feature sets including, for example, a rewards tool. The systems and methods hereof support course creation and implementation, as well as the formation of groups, Conexus and user-defined groups. The system and method can categorize and sort these groups and courses into subsets based on subject matter bases, which thereby enables user to share information and collaborate, not just in their personalized groups, but also with learners positioned all over the world.
Owner:JAFARI ALI
Cohesive Team Selection Based on a Social Network Model
ActiveUS20080120261A1Maximize team cohesivenessKnowledge representationResourcesBusiness enterpriseKnowledge management
A method is disclosed that enables the selection of a team of people in an organization, such as a business enterprise, to participate in a task that involves communicating with each other, in which the selection of the team seeks to maximize the team cohesiveness. The illustrative embodiment of the present invention incorporates the use of a social network model to describe the communication pattern in the organization. Based on the relationship between the organization's social network structure and the cohesiveness between the people in the organization, the technique of the illustrative embodiment estimates the dyadic cohesiveness of each pair of people, which is defined as the expected value of relationship strength between each evaluated pair of people. One component of the relationship strength is the number of interactions between the two people in the pair. The technique of the illustrative embodiment then uses the cohesiveness estimates to select teams.
Owner:AVAYA INC
User attribute and social network detection system based on space-time locus
ActiveCN106600052AImprove applicabilityImprove forecast accuracyForecastingCharacter and pattern recognitionNonnegative tensor factorizationFeature extraction
The invention provides a user attribute and social network detection system based on space-time locus. A user behavior mode is analyzed to predict true identity attributes of a user, and data processing, social network modeling, characteristic extraction and classification prediction subsystems are included; space-time locus data is analyzed; according to the space-time locus data, an original method based on the point mutual information is proposed to establish a social network model of the user; an original non-negative tensor factorization (NTF) algorithm is proposed to automatically extract hidden characteristics of the user; the hidden characteristics of the user are utilized to predict user attributes through utilizing multiple types of classifiers. The system is advantaged in that the system is applied to user attribute authenticity detection, can be further applied to user social network detection and can be further applied to precise information push and friendly recommendation according to predicted attributes and the social network.
Owner:XI AN JIAOTONG UNIV
Super-large scale user social network analysis and family relationship identification algorithm based on contact frequency and contact index
The invention relates to the field of application of service provider social circle word-of-mouth marketing and family package recommendation marketing, particularly relates to a social network construction and family relationship identification method in word-of-mouth marketing, and discloses a user social network and family relationship construction method through user voice and short and multimedia message contact information. The method comprises the steps of calculation of the contact index, construction of a contact circle model, construction of a social network model and construction of a family relationship identification model. According to the technical scheme, the problems of efficient and robust construction of the social network and family relationship identification based on the contact information under the condition of large data volume of telephone bills of service providers can be solved.
Owner:NANJING TANDAO INFORMATION TECH CORP
Method for dividing users in mobile social network
The invention discloses a method for dividing users in a mobile social network. The method comprises the following steps of a, importing user geographical track journal files, and calculating disperse geographical track similarity si,j between any two users; b, establishing a User-User similarity matrix G, a Locate-User matrix L and a User-Locate matrix U based on the disperse geographical track similarity between any two users; c, importing user social activity loggings, establishing a social network model according to mobile phone calling historical records between users, and calculating a social network adjacent matrix F; d, calculating a block matrix and dividing the users. According to the method, the users in a mobile phone network or in a position-based on-line social network are accurately divided, and the method can be applied to a personalized content recommendation system and pushes personalized content to target users.
Owner:HUAZHONG UNIV OF SCI & TECH
Networking systems and methods for facilitating communication and collaboration using a social-network and interactive approach
Systems, methods, and techniques for providing a dynamic platform for educators and businesses to employ a networking-based approach to course management and / or training through the use of social networking models. The computer-aided system and method facilitate global user collaboration and communication across a network-based learning environment through the use of various feature sets including, for example, a rewards tool. The systems and methods hereof support course creation and implementation, as well as the formation of groups, Conexus and user-defined groups. The system and method can categorize and sort these groups and courses into subsets based on subject matter bases, which thereby enables user to share information and collaborate, not just in their personalized groups, but also with learners positioned all over the world.
Owner:JAFARI ALI
Social network based multi-dimension comprehensive recommending method
ActiveCN106528643ATightly fusedConsider comprehensivelyAdvertisementsSpecial data processing applicationsCommunity modelSocial web
The invention relates to a social network based multi-dimension comprehensive recommending method. The recommending method includes: establishing a social network model and a community model; S2: defining the user compactness, the user entity interest degree, and the entity similarity, wherein the user compactness reflects the compactness of a relation between two users, the user entity interest degree reflects the interest degree of a user in an entity, and the entity similarity reflects the consistent degree of attributes of two entities; and S3: performing multi-dimension entity comprehensive recommending on users in a social network according to the user compactness, the user entity interest degree, and the entity similarity. Compared with the prior art, the method can evaluate the influence of commerce websites of the social network from the user relation dimension, the entity similarity dimension, and the user interest dimension, and can perform relative entity recommending, and has wide actual application prospect.
Owner:SHANGHAI NORMAL UNIVERSITY
Automated network peering in a social-network model
Systems are disclosed for automating peering of Autonomous-Systems (ASs). ASs may be registered to a web-based platform. AS Numbers may be provided, profiles generated, and / or peering policies set during registration for presentations enabling evaluation of potential peering sessions between ASs. The web-based platform may automatically represent a peering request, ensure compliance with peering policies, and / or represent a negotiated peering session in a generalized routing policy language. An implementation module may automatically translate the representation to provide a physical connection between ASs in the peering session at a switch system to which they are connected. Also, the implementation module may automatically translate the representation into a distribution configuration implementable on and pushed to one or more routers. The routers may implement the distribution configuration pushed to them to advertise routing information for the peering session to the ASs via preexistent sessions with additional routers in the ASs.
Owner:CONSOLE CONNECT INC
Document access management method and system
InactiveUS20090151002A1Digital data processing detailsAnalogue secracy/subscription systemsAccess methodAccess management
This disclosure provides a document access method and system. The document access method and system are based on a social network model which interconnects members of the social network as a function of trust. This framework provides a basis for documents to be accessed by members which are not directly specified by a document's owner, while providing a certain degree of document security.
Owner:XEROX CORP
Online people deputation system
InactiveUS20160019669A1Low costReduce effortReservationsBuying/selling/leasing transactionsSocial network modelMultimedia
A method and system of deputizing people for transportation needs in a social networking model through an online people deputation system comprising of updating a calendar entry of people for person, package and project travel services listing, balancing the supply of desirable travelers with the demand by other users to serve them in transportation needs, delegating travelers for transporting people and packages from one place to another place and / or for performing tasks in a remote location and paying for services based on peoples' availability, request and response mechanism. Furthermore, the method also embodies real-time travel booking, location based searching, filtering and sorting people along with service reviews, ratings and comments for each.
Owner:GOPALAKRISHNAN RANJITH
Social network community partitioning method and server
ActiveCN107529656AImprove stabilitySpecial service provision for substationData processing applicationsSocial webSocial network model
The embodiment of the invention discloses a social network community partitioning method. The social network community partitioning method comprises the following steps: constructing a social networkmodel based on social relationship in a social network, and giving weights to mutually connected edges between nodes in the social network model, wherein each node carries a tag; iterating and updating the tags of all the nodes in the social network model according to the tag of each node and the weights of the edges of each node; and when number of times of iteration and update is equal to a preset threshold value, partitioning user identifications corresponding to the nodes carrying the same tag in the updated social network model into one community. The embodiment of the invention also discloses a server. By adopting the social network community partitioning method and the server which are disclosed by the embodiment of the invention, stability of the tag of the node updated by the server can be improved, so that stability of the server during community partitioning is improved.
Owner:TENCENT TECH (SHENZHEN) CO LTD
Cohesive team selection based on a social network model
A method is disclosed that enables the selection of a team of people in an organization, such as a business enterprise, to participate in a task that involves communicating with each other, in which the selection of the team seeks to maximize the team cohesiveness. The illustrative embodiment of the present invention incorporates the use of a social network model to describe the communication pattern in the organization. Based on the relationship between the organization's social network structure and the cohesiveness between the people in the organization, the technique of the illustrative embodiment estimates the dyadic cohesiveness of each pair of people, which is defined as the expected value of relationship strength between each evaluated pair of people. One component of the relationship strength is the number of interactions between the two people in the pair. The technique of the illustrative embodiment then uses the cohesiveness estimates to select teams.
Owner:AVAYA INC
Data processing method and device
ActiveCN108022171AData processing applicationsCharacter and pattern recognitionPattern recognitionComputer science
The invention discloses a data processing method and device. The method comprises that a first social network model with a first association between representation nodes is obtained; the first socialnetwork model is expressed as a first adjacent matrix according to a preset representation manner; any two nodes directly associated with a first node in the first social network model are recorded asbeing direct associated, and a second adjacent matrix is generated; the structure similarity and the characteristic attribute similarity of the any two nodes with direct association in the second adjacent matrix are obtained; a fusion similarity is determined according to the structure similarity and the characteristic attribute similarity, the determined fusion similarity is screened, and a third adjacent matrix is generated on the basis of the screened fusion similarity; and on the basis of the third adjacent matrix, a second social network model of a second association between the representation nodes is generated.
Owner:TENCENT TECH (SHENZHEN) CO LTD
Social network model construction module of company image improvement system
PendingCN110990718ADeepen expressive abilityImprove service levelDigital data information retrievalCharacter and pattern recognitionSocial mediaTheoretical computer science
The invention discloses a social network model construction module of a company image improvement system. The social network model construction module comprises the following five sub-modules: construction of a complex social network user model, construction of an inter-user relationship module, construction of a multi-source heterogeneous complex social network topological graph, identification of key nodes, discovering and dividing of communities, wherein the construction of the complex social network user model comprises user data extraction and user attribute feature definition; the construction of the inter-user relationship module comprises user relationship extraction and potential relationship prediction; and the identification of the key nodes comprises user node importance indexes and event propagation node importance indexes. According to the invention, related data on social media is collected efficiently; the complex social network user model is constructed on the basis ofacquired data; meanwhile, a specific relationship among users is modeled; a one-way edge model among the users is constructed; a complex social network topological structure model is comprehensivelyobtained; and the complex social network topological structure model is taken as an object.
Owner:STATE GRID ENERGY RES INST +1
Subgraph isomorphism-based opinion leader role identification method in social network and storage medium
ActiveCN111125453AAvoid calculation errorsStrong data supportData processing applicationsOther databases indexingNetwork modelNetwork media
The invention discloses a subgraph isomorphism-based opinion leader role identification method in a social network and a storage medium thereof, and the method comprises the steps: obtaining user activity information from network media, extracting an activity relation between users, abstracting a specific user as a network node, and carrying out the construction of the social network; reading thesocial network model, selecting a plurality of multi-dimensional graph index attributes of network nodes, performing multi-objective decision calculation on the three indexes according to the calculated multi-dimensional graph attribute indexes, and giving a core user list; and performing query graph construction, judging whether each core user node satisfies a leader-subordinate mode or a propagator mode, and generating a final result. According to the method, role information of high-influence users in the social network can be discovered, related personnel can be helped to analyze criminaloffender collusion planning criminal activities in the dark network, rumor propagators in the social network can be discovered, and powerful data support is provided for network space governance personnel.
Owner:INFORMATION SCI RES INST OF CETC +1
Social network model for semantic processing
A social network model, based on data relevant to a user, is used for semantic processing to enable improved entity recognition among text accessed by the user. An entity extraction module of the server, with reference to a general training corpus, general gazetteers, user-specific gazetteers, and entity models, parses text to identify entities. The entities may be, for example, people, organizations, or locations. A social network module of the server builds the social network model implicit in the data accessed by the user. The social network model includes the relationships between entities and an indication of the strength of each relationship. The social network module is also used to disambiguate names and unify entities based on the social network model.
Owner:VULCAN TECH
Method for predicting pedestrian trajectory by robot based on social network model
ActiveCN110488811ASolve courtesySolve efficiency problemsInternal combustion piston enginesCharacter and pattern recognitionTracking modelSimulation
The invention discloses a method for predicting a pedestrian trajectory by a robot based on a social network model. The method comprises the following steps of: the step 1, constructing a pedestrian target detection model; the step 2, constructing a pedestrian target tracking model; the step 3, generating a real-time motion track of the pedestrian target; the step 4, constructing a social networktrajectory prediction model; and the step 5, planning a reasonable motion path of the robot. In the prior art, a robot cannot predict a pedestrian motion trail in advance so that robot path planning precision is low, by improving the technical problems of the poor avoidance effect, the low working efficiency and the like of the moved obstacle, the method has the advantages that the pedestrian trajectory prediction accuracy of the robot is improved, the obstacle is reasonably avoided, the working efficiency of the robot is improved and the like.
Owner:SHANGHAI YOGO ROBOTICS CO LTD
Multi-relation social network model mining method based on Bayesian method
InactiveCN107577742APreserve partial orderGuaranteed Membership AccuracyData processing applicationsSpecial data processing applicationsTheory analysisSocial network model
The invention provides a multi-relation social network model mining method based on the Bayesian method. The method comprises the following steps: performing uncertain relation modeling based on an n-cell fuzzy number for aggregating a plurality of interactive relationships between social networks and keeping the subjection precision of a fuzzy subset as much as possible under inaccurate and incomplete sampling environment; and then generating a zero model and an enumeration subgraph by theoretical analysis, and performing motif recognition based on the Bayesian method to accelerate the algorithm convergence process. By adoption of the method, relatively universal description of real social networks can be realized, and in particular the description of multi-relation and uncertain relation. On the basis, the existing general motif recognition method is expanded to mine the non-trivial interaction mode for providing forceful support for analysis and mining of the social network, for example, public opinion transmission, recommendation system, precision marketing and the like, on the premise of ensuring the precision and reliability.
Owner:SHANGHAI DIANJI UNIV
Social network marketing seed user selection method considering influence of existing product
The invention relates to a social network marketing seed user selection method considering the influence of an existing product, comprising: step 1, modeling a social network into a social graph G=(V,E, W), wherein a vertex set V represents a set of all social users in the social network, an edge set E represents a set of social relationships between the social users, and W represents a set of weights on all sides; step 2, initializing a seed user set S as an empty set, as described in the specification, wherein an initialized user set U is a set of all the user in step 1, as described in thespecification; and step 3, calculating the marketing influence of all users in the set U in step 2. The above-mentioned social network marketing seed user selection method considering the influence of the existing product considers the influence of the existing product on marketing product promotion, measures the marketing influence of social users in terms of social relations and existing products, uses the marketing return rate as the optimization goal and uses the two-way optimization method to select the seed user set to maximize the marketing return rate.
Owner:SUZHOU UNIV
Social user data optimization placing method based on hypergraph segmentation
The invention relates to a social user data optimization placing method based on hypergraph segmentation, and the method comprises the three steps: constructing a social network model based on a hypergraph, carrying out hypergraph dividing and carrying out the hypergraph-to-subgraph mapping. The method can achieve the accurate description of multi-user interaction behaviors in a social network through the hyperedge in the hypergraph, achieves the placing of the user data according to the interaction behaviors of a user, can greatly reduce the communication quantity generated in an interaction process of the user, can maintain the load balance between servers while optimizing the data placing. The method can optimize the placing of the user data in each server according to the interaction behavior of a social network user, maintains the load balance between the servers, and reduces the communication quantity in a data center.
Owner:SUZHOU UNIV
Document access management method and system
InactiveUS7984507B2Digital data processing detailsUser identity/authority verificationAccess methodAccess management
Owner:XEROX CORP
Public opinion information and viewpoint co-evolution model construction method based on evolutionary game
ActiveCN111523046APromote positive cooperative behaviorPracticalData processing applicationsDigital data information retrievalNetwork onEngineering
The invention provides a public opinion information and viewpoint co-evolution model construction method based on an evolutionary game. The method belongs to the field of evolutionary games, and comprises the following steps: step 1, selecting a 100 * 100 regular mesh network as a social network model, enabling each individual on the social network to occupy one mesh in the regular network, and endowing each individual with an attribute value; step 2, taking each individual as a central individual, and carrying out cyclic collaborative evolution on the central individual; 3, a timer is used for timing operation, in each round of evolution process, when the specified time is up, the collaborative evolution process is stopped, information is infiltrated into the individual with the highest reputation value, and meanwhile the reputation value of the individual is increased; then, the collaborative calculation operation is continued; and step 4, circularly carrying out the step 2 and the step 3 until the collaborative evolution of all central individuals is completed. The method promotes emergence of positive cooperation behaviors among individuals in the social network, and has practicability.
Owner:XIDIAN UNIV
System and means for generating synthetic social media data
ActiveUS10719779B1Distance minimizationReduce time complexityData processing applicationsProbabilistic networksStatistical analysisMicroblogging
System and means generates synthetic forms of social media data such as data from microblogging services (e.g., Twitter) and social networking services (e.g., Facebook). This system and means jointly generate interaction graph structures and text features similar to input social media data. First, an interaction graph is generated by mapping social network interactions in input (real) social media data to graph structures. This interaction graph is fitted to a social network model (or a composite model) by minimizing the distance between the input and the synthetic interaction graphs (of potentially different sizes). The distance is measured statistically or based on the performance of social media analytics. Various patterns (such as anomalies), interaction types and temporal dynamics are generated synthetically. Second, text features are extracted from input social media data with topic modeling and statistical analysis of word tuple distributions. Based on these features, synthetic social media text is generated. Third, synthetic graph structures and text features are combined to generate the synthetic social media data. The system is particularly useful in generating data to be used for developing and testing new social media analytics or for generating or analyzing social bot network behavior and campaigns in social media, and for sharing test data with others without rate and privacy concerns.
Owner:INTELLIGENT AUTOMATION LLC
User communication circle relation identification method based on communication frequency and communication index
Owner:NANJING TANDAO INFORMATION TECH CORP
User behavior driven influence maximization method in evolutionary social network
PendingCN114595398AReal and effective queryEfficient and accurate collectionData processing applicationsDigital data information retrievalInformation propagationTheoretical computer science
The invention discloses a user behavior-driven influence maximization method in an evolved social network, which comprises the following steps of: 1, acquiring behavior data of a user in the social network, and establishing an evolved social network model evolved along with time; step 2, according to the behavior logs of the users, calculating an information spreading probability between the users to obtain weights of edges in the evolutionary social network; 3, improving the independent cascade propagation model, and establishing an independent cascade propagation model driven by user behaviors; step 4, according to an improved reverse sampling method, querying k nodes which have the most influence in the evolved social network at different time points, namely a seed node set; and 5, verifying the validity of the independent cascade propagation model driven by the user behaviors. The problem that the user with the largest influence cannot be accurately inquired on the evolutionary social network due to the fact that the influence of user behaviors on information spreading is not considered in the prior art can be solved.
Owner:THINVENT DIGITAL TECH CO LTD
Vehicle information processing system for content recommendation using Bayesian network models
ActiveUS7797266B2Instruments for road network navigationProbabilistic networksInformation processingLearning unit
An information processing system includes a content providing device (20) providing content appropriate for a user. The content providing device (20) includes: a model storage unit (40) containing a plurality of different models depending on the user attribute; a model determining unit (34) for selecting a model corresponding to the user attribute from the models stored in the model storage unit (40); a Bayesian reasoning unit (30) for reading out the model determined by the model determining unit (34) from the model storage unit (40) and using the read-out model to obtain the content appropriate for the user through probabilistic reasoning; and a recommending unit (22) for recommending the content obtained by the Bayesian reasoning unit (30) to the user. The content providing device (20) further includes a Bayesian learning unit (32) for learning models by using a user response to the content received from an operating unit (24).
Owner:NAT INST OF ADVANCED IND SCI & TECH +1
Who we serve
- R&D Engineer
- R&D Manager
- IP Professional
Why Patsnap Eureka
- Industry Leading Data Capabilities
- Powerful AI technology
- Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.
© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com