PARALLEL COMPUTATIONAL FRAMEWORK AND APPLICATION SERVER FOR DETERMINING PATH CONNECTIVITY

    公开(公告)号:US20240275702A1

    公开(公告)日:2024-08-15

    申请号:US18649423

    申请日:2024-04-29

    发明人: Leo M. Chan

    摘要: Systems and methods for social graph data analytics to determine the connectivity between nodes within a community are provided. A user may assign user connectivity values to other members of the community, or connectivity values may be automatically harvested or assigned from third parties or based on the frequency of interactions between members of the community. Connectivity values may represent such factors as alignment, reputation, status, and/or influence within a social graph of a network community, or the degree of trust. The paths connecting a first node to a second node may be retrieved, and social graph data analytics may be performed on the retrieved paths. For example, a network connectivity value may be determined from all or a subset of all of the retrieved paths. Network connectivity values and/or other social graph data may be outputted to third-party processes, services, and ratings agencies for use in initiating automatic transactions, making automated network-based or real-world decisions, determining or verifying the identity of a node within the community, scoring or ranking nodes, or making credit-granting decisions.

    Method and system for protocol generation

    公开(公告)号:US12039556B2

    公开(公告)日:2024-07-16

    申请号:US17449840

    申请日:2021-10-04

    摘要: Manually framing questions for research and evaluation has the disadvantage that quality and effectiveness of questions of the questions depend on knowledge and expertise of subject matter expert who is framing the questions. The disclosure herein generally relates to data processing, and, more particularly, to a method and system for generating protocol for data extraction from one or more users. The system identifies sub-objectives corresponding to an identified research objective, and then generates questions to get response that matches the objective and sub-objectives. Further, a sequence is decided for the questions, and accordingly recommendations are generated. The system also assesses whether response obtained from users has reached saturation, and accordingly generates trigger to terminate data collection.

    Recommendation of search suggestions

    公开(公告)号:US11893049B2

    公开(公告)日:2024-02-06

    申请号:US17880861

    申请日:2022-08-04

    CPC分类号: G06F16/3322 A63F13/85

    摘要: Implementations relate to providing search suggestions on a collaboration platform. In some implementations, a method includes generating a dictionary of terms comprising terms associated with games of the collaboration platform by identifying a set of the games that have a frequency of play that meets a threshold frequency and identifying a plurality of search terms associated with previous search queries of the collaboration platform. The method further includes comparing the plurality of search terms with the dictionary of terms, identifying a first set of the search terms that are candidate search terms and a second set of the search terms that are search suggestions, and generating a record that associates candidate search terms of the first set of the search terms with respective search suggestions wherein the record is used to provide a suggestion for one or more new search terms of a new search query.

    SYSTEM AND METHOD FOR SPELLING CORRECTION
    9.
    发明公开

    公开(公告)号:US20230306196A1

    公开(公告)日:2023-09-28

    申请号:US17846853

    申请日:2022-06-22

    摘要: A system and method for machine translation-based spelling correction is provided. The method includes receiving, by a processor associated with a system, a query from a user via an electronic device; analysing, by the processor, via an encoder, a fixed dimensional representation of the source sequence for each time step or a query token corresponding to the source sequence; generating, by the processor, via a decoder, a target token corresponding to the query token, based on the fixed dimensional representation; mapping, by the processor, via an attention model, one or more different source sequence representation and one or more relevant source sequence representation, corresponding to each of the target token generated by the decoder at each time step; and outputting, by the processor, one or more query-level candidates with corrected spellings corresponding to the received query, based on mapping.