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61 results about "Community search" patented technology

Community search system with relational ranking

In the present invention, there is provided a computer system (10) for retrieving published content from a social network of users in which each user has connections to one or more other users, and in which the degree of separation between users within the social network is defined as the number of connections required to connect two given users. The system (10) comprises a database (14) for storing a plurality of content assets published by users, each content asset being indexed against one or more users in the network, a network user map (13) stored in memory which, for each user, identifies degrees of separation between that user and other users in the social network, an application interface (12) for receiving an online search request from a first user, a search engine (15) having a system index for identifying one or more stored content assets that match the search request; and a processor for filtering the matching content assets to identify content assets indexed against users within the first user's network user map and generate search results ranked in dependence on the degree of separation between the first user and the user or users associated with the one or more matching content assets.
The present invention provides a content searching service allowing users to search for and retrieve stored content according to their personal relationships with other users who are part of their social network. Unlike conventional methods, the present invention does not provide the same content to every user regardless of context, but rather presents the content according to their relationship with the user(s) associated with (indexed against) that content.
Owner:AUBERT PARK VENTURES

Digital matching filter for WCDMA (wideband code division multiple access) communication

The invention discloses a digital matching filter for WCDMA (wideband code division multiple access) communication. An A/D (analog to digital) conversion module is used for carrying out sampling quantization on each collected sampling value, a serial/parallel conversion module is used for dividing samplings in former and later n times for a same code sheet to obtain data with an odd power and an even power sequences of a path I and a path Q, a matching filter module is used for carrying out data matching on the data with odd power and the even power sequences of the path I and the path Q through a Golay sequence correlator, the serial/parallel conversion module is used for recovering the data with the odd power and the even power sequences of the path I and the path Q output by the matching filter module into an original data sequences of the path I and the path Q, a quadratic sum calculation module is used for carrying out quadratic sum calculation on the original data sequences of the path I and the path Q, and a relative detection module is used for carrying out peak value detection on a result of the quadratic sum calculation of the original data sequences of the path I and the path Q output by the quadratic sum calculation module to realize synchronization of a main synchronization sequence; and hardware resource is reduced, a data processing speed is improved, a synchronous sequence in time slot synchronization of WCDMA communication system community searching is rapidly captured.
Owner:TAIYUAN UNIV OF TECH

Digital Resources Searching and Mining Through Collaborative Judgment and Dynamic Index Evolution

A method is disclosed for a search engine or part of a search engine which utilizes collective intelligence, evaluation, and judgment, including web intelligence, to create and adapt the content of a generalized index hierarchy for digital resources to be searched. Digital resources to be searched can be stored and managed as a localized or distributed repository of images, video, audio, graphical or other multimedia data objects, as well as structured composite items, services, programs, modules, files, documents, systems, applications, networked peers, and agents, which may be difficult or costly to be indexed. In particular embodiments the claimed invention focuses on the indexing of semantic contents and/or pragmatic characteristics of such digital resources. By tracking and analyzing the searching behavior of users, proxies, and/or meta-search-engines, a search index can be created, tuned, improved and optimized. The claimed method in certain embodiments also incorporates an adaptive and evolution mechanism which allows relevant digital resources that may otherwise be overlooked to be found. The claimed invention can be applied to databases, web searching, personal/local search, community search, and broad-based or vertical search engines for internet, intranet, extranet or other uses.
Owner:HONG KONG BAPTIST UNIV

A control method for cell search compression mode of broadband code division multi-address system

The invention discloses a control method of community search compression modes of broadband code division multiple access systems, which comprises the following steps. Firstly, compression modes are mapped into compression mode sequences of the number equivalent to the total number of gaps of the compression modes and corresponding to the gaps. Secondly, whether collision is present in the compression mode sequences is inspected; in case of collision, the step 1 shall be returned to, or else, whether compressed frames of continuous three frames or more than three frames are present after sequence combination of the compression modes is detected; if the compressed frames are present, the step 1 shall be returned to; or else, the step 3 is accessed. Thirdly, corresponding timers are provided according to the number of the compression mode number; the timers produce corresponding compression mode time sequences according to corresponding compression modes. Fourthly, operation of corresponding hardware is dispatched according to the compression mode time sequences. According to the technical proposal, central control method is adopted for the community search compression modes. The invention is characterized in that software and hardware resources of the system can be saved; and the invention is applicable for independent operations of search for and measurement of resources in communities.
Owner:ZTE CORP

Attribute graph community search method and system based on representation learning

The invention relates to an attribute graph community search method and system based on representation learning. According to the method, the method comprises the steps of adopting a query node as a starting point of random walk, adopting the attribute information and structure information of the node for guiding jump of the random walk, and obtaining a node sequence and an attribute keyword sequence; performing node representation learning on the node sequence and the attribute keyword sequence to obtain topological representation and attribute representation of nodes, and combining the topological representation and the attribute representation as node representation information; reconstructing the original graph data according to the similarity between the nodes to obtain a reconstructed graph; establishing a community model based on the reconstructed graph and the node representation information; and searching a target community meeting requirements by taking the established community model as guidance. According to the method, the calculation scale is reduced, the representation learning process is more accordant with the characteristics of local characteristics concerned by community search, the information of the nodes on the community level is fused, the node feature mining accuracy is improved, and the established community model gives consideration to the interpretability, quality and efficiency of community discovery.
Owner:INST OF INFORMATION ENG CAS

Interactive community search method and device based on graph neural network

The invention discloses an interactive community search method and device based on a graph neural network. The interactive community search method comprises the following steps: constructing a given candidate sub-graph GS according to a query node and a mark node of a user; constructing a graph neural network model M through a given candidate sub-graph GS; carrying out convergence on the graph neural network model M to obtain a graph neural network score of each node, and updating a given candidate sub-graph according to the graph neural network scores; and selecting a final target community according to the updated given candidate sub-graph and the set community size k. According to the method, a target community is positioned through a sub-graph dynamically collected in an online network, a community member relationship problem is reconstructed into a node classification problem by using a graph neural network, and a community with the size of k is introduced to describe the target community. According to the method, the similarity and the difference between the graph nodes and the annotation nodes can be captured by flexibly combining content and structural features, a community with high accuracy and accurate size is searched in an iteration and interaction mode, and the burden of a user is reduced by utilizing sorting loss.
Owner:PEKING UNIV
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