10 results about "Group discovery" patented technology

A radio frequency (RF) IoT device may be configured to receive a group discovery query for a set of IoT devices from an RF source device. The group may be based on at least one of (a) an IoT device class, (b) a measurement type, (c) a data priority, (d) a type of information carried by the set of IoT devices, (e) a presence of data, (f) an amount of the data, (g) a distance from the RF source device, or (h) a set of identifiers for the one or more IoT devices in the group. The RF IoT device may be configured to transmit a response to the group discovery query based on the IoT device belonging to the set of IoT devices.

The invention discloses a social group discovery system based on fused semantic information. The system comprises a presentation layer, a presentation layer, a service layer and a data layer. The presentation layer supports checking of a group division result; the display layer displays a user structure network, group dynamic division and group characteristic indexes through a visual tool; the service layer is composed of a semantic tag generation module, a user structure analysis module, a social group division module and a social group analysis module, semantic and structural features are fused through a graph attention network, and accurate group division is realized in combination with an adaptive embedded graph aggregation algorithm; and the data layer stores the original data set of the social platform and the processed data. The system inputs user texts into a large language model to generate semantic tags, node embedding is generated by calculating node association weights, group division is completed by combining an adaptive embedding graph aggregation algorithm, and finally group characteristics are quantitatively analyzed from the aspects of cohesion, conductivity and the like. The system is suitable for scenes such as vertical domain community mining.

A method, system and apparatus for group management for vehicle-to-anything (V2X) and Proximity Based Services (ProSe) groupcast. According to one aspect, a method in a wireless device (WD) includes discovering wireless devices (WDs) that are members of a group, and sending to the WDs that are members of the group a group discovery complete message. According to another aspect, a method in a WD includes listening for a group discovery signal indicating a group to which the WD belongs or seeks to join, and sending a group discovery response indicating that the WD seeks to join or remain in the indicated group.

The embodiments of this specification disclose a group query method, apparatus, and device, belonging to the field of graph data technology. The method includes: obtaining node-related data for offline calculation, wherein the offline calculation includes: a priori step, a setting step, and a discovery step; in the priori step, obtaining group prior knowledge of a portion of nodes in a graph topology data set; in the setting step, setting group labels for each portion of nodes as supervision data based on the group prior knowledge, and initializing the group labels of each remaining node; in the discovery step, performing group discovery in the graph topology data set based on the supervision of the supervision data and the initialized group labels; synchronizing the results of the group discovery to an online storage database; and upon receiving a query data set containing multiple nodes submitted by a user, querying the online storage database for the groups to which at least some of the multiple nodes belong, and responding to the user based on the query results.

The embodiment of the invention relates to the technical field of computers, and discloses an account management method, electronic equipment, a storage medium and a computer program product. The account management method comprises the following steps: clustering content data of a plurality of accounts, and constructing an association relationship between the accounts and the content data; determining at least one target group in the association relationship based on a group discovery algorithm; performing semantic analysis on the content data to identify a group category of the target group; and managing the account of the target group according to a processing strategy corresponding to the group category. The beneficial effects of the invention are that the method can achieve the precise recognition of the group behavior of the account, and achieves the targeted management of the account.

This invention relates to the field of e-commerce technology, and more specifically, to a method for expanding and selecting e-commerce audiences based on similarity group discovery. The method includes: collecting samples to be cleaned from multiple data sources; selecting corresponding modal encoders and modal enhancement strategies based on data source identifiers; achieving cross-modal feature space alignment by constructing a set of positive sample pairs and a set of negative sample pairs and performing comparative learning training; obtaining a final group set through multi-table joint candidate set construction and fine clustering; solving for the hyperspherical prototype center using Riemann gradient descent for each final group; labeling normal or abnormal samples based on comparison results; and outputting the cleaned dataset and the abnormal sample set. This invention solves the problem of incomparability of feature spaces in multi-source heterogeneous data, improves the efficiency of large-scale data processing, maintains the geometric consistency of the manifold space, and achieves adaptive determination of the anomaly detection threshold.

The application belongs to the field of guided topic network analysis, and particularly relates to a social network group discovery method based on user preferences, comprising: obtaining relevant information from a social network platform; calculating the interaction degree and reputation degree of users; defining a random walk strategy of IBT2vec algorithm, and representing the user topic network as a feature vector matrix; using RoBERTa to obtain the long-term and short-term preferences of users, fusing the same with the initial feature vector to form an enhanced user node representation; compensating for the network space features through meta-transfer learning to alleviate the data sparsity problem; classifying the user features through a spectral clustering method, and obtaining key influential user groups with similar interests and behaviors after full connection layer and normalization processing. The application not only considers the similarity between users, but also comprehensively considers the influence of users, so that the group discovery is more accurate and practical, and reliable support is provided for applications such as public opinion monitoring, information dissemination and marketing promotion.

A method, computer program product, and computer system are provided for user access group discovery. The method includes: generating a matrix that depicts the respective resources of a set of resources accessed by each of a plurality of users; obtaining, for each user, a similarity measurement using the matrix, wherein the similarity measurement is based on a comparison of the resources accessed by the user to the resources accessed by the other users; generating, for each user, a feature vector for clustering the users into user access groups, wherein the feature vector represents the resources accessed by the user; applying the feature vectors and the similarity measurements to a centroid-based clustering algorithm to obtain the user access groups; and outputting the user access groups for application in a security environment.

Techniques are provided for ad-hoc authenticated group discovery and data sharing in a mesh network. A group of devices is created without leaving a security gap due to the open communication needed to establish the discovery of the devices forming the group. The group can be authenticated autonomously following network discovery of the devices. Instead of requiring global pre-assigned keys for authentication, the devices in the group are authenticated with signatures and certificate passing thereby providing strong security. The efficiency of data sharing between the devices of the network, such as a mesh network, can also be increased. One or more devices may act as a bridge device between devices of a same group that are not in direct wireless communication with each other to reduce re-broadcasts within the mesh network.

The invention relates to the technical field of network behavior management and topology construction, in particular to a group discovery method, device and system in a social forwarding network. According to the group discovery method in the social forwarding network, starting from a topological structure, namely a directed propagation network, of social behaviors, primary and advanced dependency relationship networks are constructed to identify candidate groups, and then the distance between the candidate groups is analyzed to obtain an account relationship network of a tree structure. According to the method, the social account weight is fully considered through network evolution, and the structural layering of the relation network is realized through network simplification, so that the linear time complexity of the social relation network is improved, and the reliability of group analysis and the integrity of social behavior analysis are ensured.