37 results about "Social search" patented technology

A device, system and method to enable communications over a network wherein a user may conduct a search directed to target contacts within a social network. A knowledge base of prior social search responses may be searched for responses from the target contacts with the results being presented to the user. The results of the search can be sorted along with responses received from the target contacts. The selection of target contacts and presentation of results can be based on various attributes of target contacts or ranking of the prior search responses. The search responses received by the user along with attributes and rankings may be stored in the knowledge base for future use. The target contacts and search may be taken from contacts or the knowledge base of the contacts with greater than one degree of separation from the user.

Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for a social search engine. In one aspect, a method includes receiving a question from an asker in which the question is associated with one or more topics; selecting candidate answerers based at least partly on each answerer's respective relationship to the asker; sending the question successively to groups of one or more candidate answerers according to the ranking until an answer is received from a particular one of the candidate answerers; and sending to the asker the received answer and information that identifies the particular answerer.

System and methods for performing social searches using a social graph including nodes associated with voting values associated with items of interest. At least one rating (such as importance rating, compatibility rating, proximity rating, and/or social rank value) is obtained for each node. A web search obtains search results. A sort value (for sorting the search results) is determined for each search result in which an item is identified. The sort value may be determined for a search result by (a) identifying nodes associated with a voting value that is associated with an item identified in the search result, (b) determining a node value for each node identified based on the rating obtained for the node and the voting value associated with both the node and the item(s) identified in the search result, and (c) determining the sort value based on the node values of the nodes identified.

A system is provided for allowing collaboration among users while they conduct information searches. The system allows users to share their search queries and see what other users are searching for. This is accomplished by copying the search queries of users to a message board type activity stream where a user can see other users' search queries. In the process it allows users to help other users by providing guidance and additional information on their queries or in other ways by responding to other users' search queries. Additionally, a system is provided to allow users to discover other users who are searching for the same information concurrently, and a system that shows other users that the current user has included in his or her sharing network who have previously searched for the same information.

A method and system for social media ecosystem searching. A desired person can be searched for from public search engines and social media sites directly by name and/or by unique search keywords and search categories created and publically published by the desired person, a social media index of the desired person or a social commerce connection associated with the desired person. The search results are publically viewable. However, communication with the desired person located within the social media ecosystem is via a private system in which a searcher must provide login information to privately communicate with the desired person. The private system helps ensure that social media index values and social commerce connections are properly established, recorded and updated for the desired person and provides a layer of security and privacy. The social media searching ecosystem is provided on a cloud communications network for mobile and non-mobile devices.

The present invention discloses a method for calculating distances between users in a social graph. The relations in the social graph are assigned weighting factors. The distances between two users are calculated from the weighted relations on the paths connecting the two users. In addition, the propagation of relations across neighboring users may be attenuated according to a propagation coefficient. Using the calculated distances, the social search may be performed in the order of non-decreasing distances from the source users. Moreover, clusters may be created from a social graph based on the calculated distances. The search in a dense social graph may be converted to a search in the generated clusters. Therefore the performance of social search across neighbors is improved.

The invention relates to a payment real-time question answering system constructed by a social search method and an operation method thereof and is suitable for solving problems which cannot be solved by a machine search engine but is relatively urgent. The invention belongs to the field of the applications of the Internet, mobile phones and data processing and is the integration, the improvement and the development of the prior method. In the system, questions of questioners are transmitted to a certain number of answerers with possibility to answer the questions in a real-time mode. The answerers can directly answer the question and can also continue to transmit the questions to friends or contacts. Because an effective payment mode is set, the questioners and the answerers can also obtain corresponding economic benefits except participating in the question and answer activities, and the economic benefits can be continuously accumulated to increase over time so as to more powerfully push the answers of the questions in the system.

The invention discloses a self-adaptive social relation strength excavation method based on a multi-mode generative model. The method comprises the following steps of: collecting picture information uploaded by users and users which have social relationships with the picture information, and enabling each user to correspond to a triple consisting of an uploaded image set, an image annotation set and a social network; reversing the generation process of picture contents and annotations according to an input triple through the multi-mode generative model for concluding to obtain a theme space which can be used for describing user interest distribution and the theme distribution of the users; and calculating the obtained theme space and the user theme distribution to obtain the relation strength of theme sensitivity among users. The method is applied to self-adaptive multimedia retrieval and the like.

Described is a new framework that combines the best of both exploratory search and social search: Collaborative exploratory search. This system allows a small group of focused information seekers to search through a collection of information in concert. The system provides exploratory feedback not only based on the individual's search behavior, but on the current, active search behavior of one's fellow search allies. The assumption is that the users who have gotten together to search collaboratively have the same information need, but differing perspectives and insights as to how to best express the queries to meet that need. The collaborative exploratory search system will therefore provide tools and algorithmic support to focus, enhance, and augment searcher activities. Searchers can, by interacting with each other through system-mediated information displays, help each other find all relevant information more efficiently and effectively.

The invention discloses an information analysis-oriented human-computer interaction system and a data processing method thereof, the system comprises a human-computer interaction interface, a data input module, a data acquisition module, a data processing module, a data analysis module and a result display module;the data input module is used for providing an input interface for a user; the data acquisition module acquires intelligence information in an information crawling mode, and the data acquisition mode comprises but is not limited to general search, news search, social search, forum search, local search, dark network search, scholarship search and enterprise search; the data processing module is used for carrying out data processing on the obtained intelligence information, improving the quality of the intelligence information and storing a processing result; and the data analysis module is used for deeply mining information and submitting a mining result to the result display module for visual display. According to the invention, data processing visualization is realized, and the accuracy of information analysis is improved.

A system and method to match product supply with demand by identifying potential customers on social media. The system comprising a database, a social search module, a lead analysis module, a customer engagement module, a transaction module, a blog integration module and an inventory classification module, where the database and the modules are all communicatively coupled to each other.

This specification describes technologies relating to searching. In general, aspects of the subject matter described in this specification can be embodied in methods that include the actions of receiving a search query from a user of a search service, identifying search results including general search results responsive to the search query and social search results associated with content generated by one or more members of a user social graph associated with the user that are responsive to the search query, the search results corresponding to digital content stored in one or more computer-readable storage media, determining that a first social search result is associated with a first muted member that is a member of the user social graph, generating filtered search results in response to determining that the social search result is associated with the first muted member, and providing the filtered search results for display to the user.

An approach is provided for determining the intent of a question and determining an appropriate audience to answer the question based on the intent of the question. The approach comprises processing and/or facilitating a processing of a query to cause, at least in part, a determination of one or more topics of the query based, at least in part, on one or more user preferences. The approach also comprises processing and/or facilitating a processing of the query to cause, at least in part, a determination of a classification of the query, The approach further comprises determining an audience comprising one or more candidate audience members for the query based, at least in part, on the classification of the query and the one or more topics of the query.

The present embodiments disclose a social network including a plurality of computing devices in operable communication with a network. The network includes a database configured to store a plurality of user attributes each having at least one identifying characteristic. At least one processor is in operable communication with the plurality of computing devices. The processor is configured to determine the user attributes of each of a plurality of users and categorizing the plurality of users into one or more groups using the at least one identifying characteristics. Information is then provided to the plurality of users dependent on the user attributes.

The invention provides a fuzzy search algorithm which can work effectively without incomplete data. Firstly, several known friend accounts which are closely related to a target friend are obtained, and direct friends and indirect friends of the known accounts are obtained through a set operation, and a directed graph is generated. The affinity between the two accounts is calculated respectively according to the data reliability and the independent contact path number, the affinities are listed by using a matrix, and finally the each affinity of the target friend is summed up according to the column, and the result is obtained. According to the method, a social contact search model adapting to fragment data occasions is creatively provided, the data loss is compensated through indirect social relationship, and the data reliability is enhanced through multiple contact relationships. The algorithm also reduces the computational complexity by means of dynamic programming, and ensures thatthe results can be quickly searched out in mass social contact data.

The invention discloses a position-based bidirectional matching social search method and system and a business model, and belongs to the field of internet social contact. In the social contact system, when a first member initiating searching searches other members, a geographic range is determined firstly, then the system compares a matching condition of the first member with own data of a target member in the geographic range firstly, and the target member successfully compared becomes a primary member; reading a friend-making matching condition preset by the primary member, performing reverse comparison with own data of the first member, if the reverse comparison is successful, enabling the primary member subjected to bidirectional matching to become a candidate member, and enabling the first member to check a candidate member list; and then, screening and informing the satisfactory candidate members to meet the consumption of the deal merchant, carrying out settlement by the operator and the deal merchant according to the cooperation protocol, and extracting the operation cost. The system can be used for Internet friend making, recruitment, marriage seeking and volunteer seeking.

The disclosed architecture provides one or more techniques for selecting social contacts and selecting queries in order to populate the visible space of an activity feed (e.g., social search). A technique is provided that prioritizes selection of social contacts for display in a social search activity feed. Another technique is provided that selects queries for display in the social search activity feed. The architecture also provides visual presentation of the social search activity feed information. These techniques ensure an interesting variety of contributors and content while maintaining a time-ordered presentation paradigm.