208 results about "Social information" patented technology

Event planning using social networking enables an efficient implementation of planning an event, as well as minimizing network traffic and optimizing other technological aspects of life. Additional information acquired by sensors and other technology is able to improve the quality of the event planning. Social network information as well as the additional information is able to be used to select aspects of the event such as time, location, and / or many other aspects of the event.

A system and method for observing a personal networking event which shares the position of a number of friendly participants with other participants within a group. In one form, the position of unknown participants meeting certain criteria is also displayed to a user or one or more friendly participants. The views are selectable by friendly participants on, for example, a GPS equipped cell phone, to include a view from the participant's position, zoom, pan, and tilt views, or views from another friendly location or from another geographic location, giving increased situational awareness and identification of participants. Other information can be shared among friendly participants, including social information, status and directions.

Embodiments of the invention are directed toward a multifunction wristband (or other wearable device) providing a lifestyle display that outwardly displays to other people the interests and social connections of the wearer, which can include data related to music, social media, charities, and more. The multifunction wristband can act either as a stand-alone device or as a companion device to another personal electronic device. Furthermore, it can incorporate a variety of additional useful features.

A system and method for tracking feeds in a social network is disclosed. The system includes a feed module and a personalization module. The feed module is communicatively coupled to the social network. The feed module is configured to receive a social information feed from the social network. The personalization module is communicatively coupled to the feed module to receive the social information feed from the feed module. The personalization module retrieves a category. The personalization module organizes the social information feed into a categorized feed based at least in part on the category. The personalization module extracts a feature based at least in part on a user query. The personalization module queries the categorized feed based at least in part on the feature to generate a personalized feed. The personalization module outputs the personalized feed to the user or a third party.

An improved system and method for ranking search results using social information is provided. A social information ranking engine may be provided to rerank a list of URLs of web pages in search results from a search engine using social information. To do so, the search query may be applied to a social information domain and a second list of references to web pages may be obtained as search results. A dimensional vector of users with the plurality of terms may be constructed using search results from social information domain, and a similarity measure may be computed between the references to web pages obtained from search results by the search engine and the references to web pages obtained from search results by the social information ranking engine. The score from the similarity measure may then be used to rerank the list of references to web pages.

The present invention provides a personalized recommendation method with socialization information fused. The method comprises the following steps: S1, constructing a user- user trust matrix; S2, constructing a project- project tag similarity matrix; S3, constructing and training a model; and S4, predicting a preference of a user for an unknown project. The method provided by the present invention mainly has the following advantages: 1) a sorting learning method in the information retrieval field is applied to Top- K recommendation, so that the sorting problem in the recommendation system is effectively solved, and the defect that the conventional score-based prediction method can not perform Top-K recommendation is overcome; and 2) socialization information, i.e. user social information and project tag information, is fused into the model based on sorting learning, so that accuracy of recommendation results is improved.

A social information management method and system designate a plurality of mobile devices as a group list of mobile devices that share the information based on a social network; create social information in a mobile device, by registering an item selected or input to the mobile device while the mobile device operates a user function; and shares the social information with the mobile devices in the information sharing group list.

A user social network relationship division method comprises the steps of generating association attribute information between a first user's good friends according to social information of the first user's good friends; obtaining closeness between the good friends according to the association attribute information; and enabling the good friends with the mutual closeness larger than a first threshold to be arranged into corresponding relations with an identical relationship of a first user. According to the method, the user's good friends high in closeness are divided into the same relationship, the user does not need to manually perform relationship division management on the user's good friends, and user social network relation management efficiency is improved. In addition, members high in similarity have more common topics, the members within the relationship can interact together, and accordingly relationship accuracy and relationship division efficiency are improved. Besides, a user social network relationship division system is further provided.

The invention discloses a zone social intercourse system based on Bluetooth. The zone social intercourse system based on the Bluetooth comprises a Bluetooth module, a service logic module, a social intercourse module and the like. According to the zone social intercourse system based on the Bluetooth, a user registers in the social intercourse system, provides all types of social intercourse information, fulfills social intercourse service, searches and finds other users in an activity zone through the Bluetooth on a terminal and sends social intercourse request information; a requested user receives the request of the user sending the request, views other social intercourse data and determines whether to accept a conversation; furthermore, various social intercourse activities based on the Bluetooth are carried out between the users, such as a text conversation or an audio conversation. When the terminal detects that the users are not in a Bluetooth zone and time is up, the conversation becomes invalid automatically, and the system removes the users from a zone list. According to the zone social intercourse system based on the Bluetooth, induction and location are achieved through the Bluetooth.

An improved system and method for ranking search results using social information is provided. A social information ranking engine may be provided to rerank a list of URLs of web pages in search results from a search engine using social information. To do so, the search query may be applied to a social information domain and a second list of references to web pages may be obtained as search results. A dimensional vector of users with the plurality of terms may be constructed using search results from social information domain, and a similarity measure may be computed between the references to web pages obtained from search results by the search engine and the references to web pages obtained from search results by the social information ranking engine. The score from the similarity measure may then be used to rerank the list of references to web pages.

The invention discloses a subscription pushing engine for cross-open-platform social intercourse information optimizing computation, which is connected between a service module of a service system and a social intercourse open platform to realize interconnection and intercommunication of social intercourse information of users between the service module and the social intercourse open platform. When the engine is designed, first considerations are given in that the engine is uncorrelated with specific subscription service, any service system can be accessed, the engine is also uncorrelated with the type of the open platform and any open platform can be adapted. The engine comprises a social intercourse information subscription rule acquisition part, a subscription rule analysis computation part and a result asynchronous pushing part, wherein the social intercourse information subscription rule acquisition part is used for realizing the concurrent collection of social intercourse subscription requests from the service system and packaging data by adopting a self-described XML (Extensive Makeup Language) structure; the subscription rule analysis computation part is used for realizing cross-social-intercourse-open-platform computation; and the result asynchronous pushing part is used for realizing pushback of computation results through optimizing strategies. The subscription pushing engine for cross-open-platform social intercourse information optimizing computation has the characteristics of cross-open-platform function, general non-blocking subscription pushing mechanism, computation algorithm optimization and the like, the personalized subscription demands are met and the use value of the service system is improved.

The invention relates to the field of internet, in particular to a cross-platform social gathering method, a cross-platform social gathering system and a background server, which realize the unified management on cross-platform user groups so as to establish a social network with a unified platform and multiple functions. The method comprises the steps that step A. the background server obtains data packets of social information of all users from more than one platform; step B. the background server extracts social information in the data packets of social information of the users, wherein the social information comprises user codes; step C. the background server integrates the social information of each user respectively according to the user code of the user to obtain a social information gathering list; and step D. the background server sends information to the users of different platforms according to the social information gathering list. The background server comprises an acquiring module, an extracting module, an integration module and a processing module. The system comprises the more than one platform, more than one user terminal and the background server.

The invention relates to a social system and a social method conducted by a wireless fidelity (WIFI) terminal user through an identification code, and provides non-directional sending and receiving, of social messages, conducted by strangers using WiFi terminals through a unique electronic identification code. The social system comprises a WiFi data server, a Wed server, a WiFi wireless interconnection site and a WiFi communication terminal; the WiFi data server is used for storing and processing data of the WiFi communication terminal within a WiFi hot spot regional coverage; the WiFi wireless interconnection site is used by a communication terminal to visit the WiFi data server; the WiFi communication terminal is provided with an Internet instant messaging module used by the WiFi communication terminal to conduct social intercourse through the unique electronic identification code or a social identification bound with the unique electronic identification code. The social system and the social method achieve mutual obstacle-free sending and receiving of messages between the WiFi terminals in a WiFi hot spot coverage area, and also can achieve mutual obstacle-free sending and receiving of messages between a WiFi terminal in a WiFi hot spot coverage area and an external communication terminal.

The invention discloses a social media graph representation model-based social risk event extraction method. The method comprises the following steps of 1) modeling an event by adopting an HCCG model, defining an entity relationship generation rule, describing event attributes, and performing multi-granularity extraction on the event by utilizing word-level and stream-level contexts; 2) performing similarity calculation by utilizing an information quantity ratio of a maximum common subgraph and a minimum common hypergraph according to an HCCG graph of the extracted event; 3) performing incremental clustering on HCCG through context information of social media, and gradually highlighting event elements of news in a clustering process; and 4) performing event judgment through an HCCG model-based clustering result, and judging whether the clustering result is a true event or not. According to the method, dispersed social media information can be effectively collected; intermediate and final event detection results are expressed in a multi-granularity manner visually by using an entity relationship model; and compared with a conventional social media event extraction method, the social media graph representation model-based social risk event extraction method has better generalization application capability and higher accuracy.

Disclosed is a file cloud service apparatus that is not a file cloud system for simply sharing a file between users, but a social file cloud server that enables social information about a file shared within a group to be used by including a comment of a user or scores on a file in file metadata information in group sharing. The file cloud service apparatus may construct a single system together with a file cloud client apparatus by adding social information of the user on the file and thereby may provide an efficient social sharing service. The file cloud service apparatus becomes a base for providing a user-oriented file cloud service.

The invention discloses a social interaction method and system based on augmented reality. The method comprises the following steps: acquiring an AR image of a target object through a terminal camera; querying a server to determine whether an AR interactive component uniquely bound with the target object is existent according to the image; if the AR interactive component is existent, displaying the AR image of the target object acquired at the terminal and the AR interactive component bound with the target object in a superposing way in an image presentation interface of the terminal; dynamically displaying the social information added or stored in the AR interactive component in the image presentation interface, wherein the above-mentioned social information is associated with the target object. The social interaction in the augmented reality scene is realized by displaying the comment content and other information in the interactive object and receiving the content input by a user.

The invention discloses an interest point recommendation method based on a graph neural network, and the method comprises the steps: constructing a user-interest point interaction graph and a user social graph, enabling the graph neural network to learn graph structure information, and integrating cooperation information and social information in an embedded vector of a user; clustering the interest points according to geographic positions by adopting a k-means algorithm, embedding clustering results into vectors, connecting embedded vectors obtained in the user-interest point interaction graph, and inputting the embedded vectors into a neural network to obtain interest point embedded vectors; and constructing a neural network model, simulating a matrix decomposition method in machine learning, and inputting the embedded vectors of the user and the interest points into the neural network model to perform score prediction according to historical scores of the user. Cooperation information and information in a social network are embedded into vector representation of a user, the cooperation information and position information of interest points are embedded into vector representation of the interest points, and the vector representation of the user and the vector representation of the interest points are input into a neural network for recommendation.

The invention discloses a social image recommendation method based on the hierarchical attention mechanism, which comprises the following steps: 1. Constructing heterogeneous data: a scoring matrix ofan image by a user, an uploading information matrix of the image by the user, and a social relationship matrix between the user and the user; 2. Processing heterogeneous data and image set to obtainsocial embedding matrix, content embedding matrix and style embedding matrix; 3. Input that embedding matrix into the bottom attention network to obtain the social semantic information; 4. The weightsof the three aspects of the social semantic information obtained from the top-level attention network when the user chooses the image; 5. According to the feature matrix, three kinds of social semantic information matrices and their weights, we can get the scoring prediction value, and then we can recommend the image. The invention not only effectively solves the problem of data sparsity by usingthe uploading information of the user and the social information among the users, but also well explains the user preference through the hierarchical attention mechanism, and realizes the accurate social image recommendation.

The invention discloses a system for managing and monitoring urban social information and a method. The system can manage social management resources in a unified way by: adopting a normal structure, integrating all types of social management resources to corresponding databases through platform assemblies which are easy to implement and update; with the data resources integrated and also through the corresponding platform assemblies, on the basis of gridding management, integrating video monitoring systems by means of a comprehensive management system combining an urban basic geographical information map and a three-dimensional map. The system integrates grass-roots resources and power in maintaining public security and social stability, and establishes a systematic platform for social management information.

Systems and methods in which a ranking engine, for example such an engine as is communicatively coupled to a search engine or social networking system, or is part of such a system, ranks social offerings for eventual display to a user, said social offerings being ranked according to eigenvalues of matrices associated with a social graph G of the user and the user's friends and other connections. In some instances, the social offerings may be divided into categories and ranks for the social offerings computed for each of the categories based on activities and communications of the user with friends and other connections for each category. The eigenvalues are used for ranking the social offerings based on actions of the user's friends and other connections with respect to the social offerings.

The present disclosure relates to a method and an apparatus for displaying social sharing information, and belongs to the technical field of computers. The method comprises: obtaining to-be-displayed social sharing information; in the to-be-displayed social sharing information, if the amount of social sharing information published in any account within a preset duration is greater than a first preset threshold, setting social sharing information published within the preset duration as an information group; and when displaying the to-be-displayed social sharing information, displaying social sharing information in the same information group in a combination manner. According to the method and the apparatus disclosed by the present disclosure, the information acquisition efficiency can be improved.

The invention discloses a personalized recommendation method and system integrating implicit feedback and user social status. The method comprises the steps: determining a user project interaction matrix according to implicit feedback information; according to the user project interaction matrix, calculating social status values of the user in each field in combination with implicit feedback information and social network information; calculating the trust degree between the users according to the social network information; performing matrix decomposition according to the social position value and the trust degree to obtain a user feature matrix and a project feature matrix; constructing a pseudo scoring matrix according to the user feature matrix and the project feature matrix; And performing user recommendation through the pseudo scoring matrix. According to the method, the matrix is constructed by combining the implicit feedback data and the social position value of the user, the matrix scoring accuracy is improved, and then the recommendation reliability and the recommendation quality are improved; In addition, the recommendation process is optimized by combining the credibility between the users, the reliability of the recommendation result is further improved, and the method can be widely applied to the technical field of computers.

The invention discloses a measuring method of social network communication influence, facing the large scale social networks, consideration the strength and weakness of connection and attribute features of nodes, aimed at measuring results of a region and measure system thereof. Firstly, social communication information of social network members is acquired; secondly, communication record on the social network is analyzed, segmenting all of the text and using double loop retrieval technique to solve the highly complex problems matching the key phrase in text; thirdly, similar analysis of text data is carried out, to complete regression (analyses) and semantic spectral clustering of text; finally, by the influence probability factor network communication restriction and influence of members in social network is calculated. The invention can significantly improve the measuring speed and accuracy of social influence in social networking under the mobile environment, and reduce the development cost of social influence applications in social networking under the mobile environment.

An embodiment of the present application discloses an interaction method and apparatus based on social network information, wherein the method comprises: a first client displaying a social network information interface for displaying information published by at least one second user through the social network, the second user including a user of interest to the first user, the first user being a user logged on to the social network through the first client; determining interaction data associated with the information published by the target second user when the information published by the target second user is located within the visual range of the window, the interaction data including operation entry information for performing an interaction operation; in a display area where information published by the target second user is located, the operation entry is provided for interaction through the operation entry. According to the embodiment of the present application, the interaction mode in the social network information display process can be enriched, and the utilization rate of the information display area can be improved.

A method, system and computer program product for identifying anomalous behavior (e.g., suspicious transactions). Information from at least one social media source (e.g., a posting) and from at least one non-social media source (e.g., a booking) are monitored. A transaction (e.g., credit card transaction) involving a user is identified. The monitored information is then analyzed to identify one or more characteristics (e.g., location of the user) of the user. A rating of invalidity of the transaction is generated based on the one or more characteristics, where the rating of invalidity refers to the likelihood that the transaction is likely to be anomaly, such as a suspicious transaction. If the rating exceeds a threshold, then an anomaly may be said to have occurred. By identifying anomalous behavior using both social media and non-social media sources, anomalous activities that truly occurred will be more accurately detected.

The present invention relates to a recommend system solution method for fusing social information. The method comprises: selecting the users' scores for goods in a period of time, and taking the users' scores for goods, the user friend relation information and the user own features as a data set; performing statistics of the number of all the users and all the goods, constructing the user-goods real score matrix, selecting the part of score data at will and taking the score data as a training set, and constructing a user friend matrix and a user owner feature matrix; calculating the similarity between the users and the friends; employing a latent semantic model, generating the user feature matrix and the goods feature matrix, and obtaining a predicated score through multiplying the matrix; and calculating the root-mean-square error (RMSE) between the predicated score and the real score, and adding the similarity between the users to take as the weight of the social information for the error. The gradient descent algorithm is employed to perform iteration updating of the user features and the goods. The new user's recommend accuracy can be effectively improved.

The invention provides an online social network information propagation analysis method based on time-varying damping motion. The method comprises the following steps: S1, converting an online socialnetwork information propagation model into an information propagation time-varying model; S2, performing assignment display on parameters in the information propagation time-varying model; S3, randomly selecting one node in the online social information network with the node number of N as a seed node, injecting the information with the initial information energy of E into the seed node at the moment t = 0, diffusing and propagating on the network immediately, and counting the state of the social network; S4, collecting corresponding online social media propagation data, and comparing the online social media propagation data with the model simulation result data; And S5, sending a data result of one or any combination of the steps S1 to S4 to a remote terminal. The online social network information propagation analysis method can perform hot spot prediction on the online network event, and verifies the rationality and effectiveness of the prediction system through numerical analysis, simulation experiments and empirical data analysis.

The invention discloses an IP positioning method based on Bayes and a deep neural network. The IP positioning method based on the Bayes and the deep neural network comprises an IP equipment comprehensive positioning method based on social information, an IP positioning method based on weighted naive Bayes and an IP positioning method based on a BP neural network. Compared with the prior art, the unknown IP is comprehensively positioned by fusing three methods, and corresponding methods can be adaptively selected for positioning according to different collected data types.

User interface to facilitate user management of contact information on computing devices. Contact information related to a software application is represented using a grid like visual object within a graphical user interface (GUI), or herein a “social grid”. A social grid includes a plurality of pictorial tiles, each representing a contact group, such as an individual, a group of individuals, or an external social network, etc. The social grid is customizable by user configurations and / or automatically based on a number of predefined factors, such as the number of individuals included in a group, the frequency of contacting a contact group, the user-indicated preference for a contact group, etc.