Collaborative real-time solution efficacy

    公开(公告)号:US11556781B2

    公开(公告)日:2023-01-17

    申请号:US16521755

    申请日:2019-07-25

    Abstract: In an approach to determining the effectiveness of a proposed solution, one or more computer processors monitor real-time communications. The one or more computer processors identify or more topics associated with the monitored real-time communications. The one or more computer processors feed the identified one or more topics and associated real-time communications into a solution efficacy model. The one or more computer processors generate based on one or more calculations by the solution efficacy model, an efficacy rating for the identified real-time communications. The one or more computer processors generate a prioritization of the identified real-time communications based on the generated efficacy rating.

    Content relevance based on discourse attachment arrangement

    公开(公告)号:US11489796B2

    公开(公告)日:2022-11-01

    申请号:US16703277

    申请日:2019-12-04

    Abstract: A computer-implemented method and system for arranging, in an ordered hierarchy, attached files as transferred during a discourse history. The computer implemented method includes accessing discourse data associated with a history of discourse communications. In embodiments, the discourse data includes a plurality of discourse attachments transferred in accordance with the history, and the discourse attachments include multiple versions of at least one discourse attachment within the plurality. The method further includes deriving a discourse attachment arrangement (DAA) component based at least in part on the discourse data. The method includes outputting, based at least in part on the DAA component, the multiple versions of the at least one discourse attachment arranged in a hierarchical order.

    AUTOMATED USER RATING SCORE ACCURACY ESTIMATION

    公开(公告)号:US20220318861A1

    公开(公告)日:2022-10-06

    申请号:US17223480

    申请日:2021-04-06

    Abstract: Disclosed embodiments provide techniques for estimating the accuracy of a user rating score. In embodiments, a user rating score is obtained from a user. Online activity events such as social media posts, purchases, cancellations, online reviews, and/or other activities are analyzed by a computer system to determine a level of agreement between the score the user provided, and the online activity events of the user that pertain to the product and/or service to which the score pertains. A user rating score reliability factor is computed based on the level of agreement and can be made available to stakeholders such as product managers, marketing personnel, and sales teams.

    Disentanglement of chat utterances
    24.
    发明授权

    公开(公告)号:US11449683B2

    公开(公告)日:2022-09-20

    申请号:US17103038

    申请日:2020-11-24

    Abstract: Disentanglement of chat utterances is provided. An analysis of the linguistic collocations and the keywords of the multiple chat utterances and amount of contribution by respective chat users of the plurality of chat users to the multiple chat utterances is performed to determine a level of drift of the linguistic collocations, the keywords, and respective chat users over a course of the multiple chat utterances. Chat utterance entanglement of prior chat utterances is determined using determined level of drift based on the analysis by inferring keyword usage over time and how these keywords are related over the course of the multiple chat utterances. The prior chat utterances related to a particular topic are disentangled by removing certain chat utterances that have a statistically significant level of drift from that particular topic. Removed chat utterances are arranged as a new chat discourse related to a different topic in the chat conversation.

    Disentanglement of Chat Utterances
    26.
    发明申请

    公开(公告)号:US20220164542A1

    公开(公告)日:2022-05-26

    申请号:US17103038

    申请日:2020-11-24

    Abstract: Disentanglement of chat utterances is provided. An analysis of the linguistic collocations and the keywords of the multiple chat utterances and amount of contribution by respective chat users of the plurality of chat users to the multiple chat utterances is performed to determine a level of drift of the linguistic collocations, the keywords, and respective chat users over a course of the multiple chat utterances. Chat utterance entanglement of prior chat utterances is determined using determined level of drift based on the analysis by inferring keyword usage over time and how these keywords are related over the course of the multiple chat utterances. The prior chat utterances related to a particular topic are disentangled by removing certain chat utterances that have a statistically significant level of drift from that particular topic. Removed chat utterances are arranged as a new chat discourse related to a different topic in the chat conversation.

    Derived relationship for collaboration documents

    公开(公告)号:US11269812B2

    公开(公告)日:2022-03-08

    申请号:US16408716

    申请日:2019-05-10

    Abstract: A method, computer system, and computer program product for collaborative document relations modeling are provided. The embodiment may include parsing, by a processor, a document corpus utilizing topic modeling and distance analysis techniques. The embodiment may also include deriving a collaborative document relational model to combine the results of the parsing into a matrix. The embodiment may further include grouping content of the parsed document corpus through document clustering utilizing the generated collaborative document relational model. The embodiment may also include displaying the grouped content as document clusters in a graphical user interface of a document management application.

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