DOMAIN EXPERTISE DETERMINATION
    2.
    发明申请

    公开(公告)号:US20160275082A1

    公开(公告)日:2016-09-22

    申请号:US15048125

    申请日:2016-02-19

    IPC分类号: G06F17/30

    摘要: A user's domain expertise may be estimated through several factors by monitoring different aspects of a user's interaction with a web browser. Based on the user's domain expertise, search results may be presented to the user that is commensurate with their expertise, resulting in a more efficient and productive on line session. A user's expertise in a knowledge domain may be determined from the user's behavior, including analyzing search queries, monitoring how the user navigates between and through websites, and analyzing the specific cites visited. As a user interacts with a browser, the user's estimated domain expertise may be updated and used to provide appropriate and useful search results. In many embodiments, a user may have different expertise levels for different technical domains.

    Individual treatment effect estimation under high-order interference in hypergraphs

    公开(公告)号:US11710139B1

    公开(公告)日:2023-07-25

    申请号:US17682200

    申请日:2022-02-28

    摘要: A computing system, computer-readable storage medium, and method for individual treatment effect (ITE) estimation under high-order interference in hypergraphs are described herein. The method includes accessing, via a processor, a hypergraph dataset including multi-way interactions among nodes within each hyperedge of a corresponding hypergraph, where the hypergraph dataset corresponds to a treatment assignment for each node. The method includes performing representation learning on the hypergraph dataset to control for confounders corresponding to features of each node and to learn a confounder representation for each node. The method also includes modeling a high-order interference representation for each node by propagating the learned confounder representation and the treatment assignment for each node through a hypergraph neural network. The method further includes estimating the ITE for each node under the treatment assignment based on the learned confounder representation and the modeled high-order interference representation for each node.

    Identifying changes for online documents

    公开(公告)号:US10067920B2

    公开(公告)日:2018-09-04

    申请号:US15085891

    申请日:2016-03-30

    IPC分类号: G06F17/00 G06F17/22 G06F17/30

    摘要: Techniques and systems are disclosed for providing changed content identification for an online document that is accessed by a user or user agent. A reference point for an online document that a user or user agent is interested in accessing is identified, comprising a stored prior version of the document. The prior version of the document is retrieved, when the user or user agent accesses the online document, such as by using the reference point. Elements of the prior version are compared with elements of a current version of the document, to determine whether there are differences between the versions. If changes are identified between the prior version and the current version, the current version is automatically updated with visual or auditory representations that identify those changes of content.

    Targeted training of inductive multi-organization recommendation models for enterprise applications

    公开(公告)号:US11983649B2

    公开(公告)日:2024-05-14

    申请号:US17510523

    申请日:2021-10-26

    CPC分类号: G06Q10/063 G06N5/022 G06N5/04

    摘要: An enterprise system server, a computer-readable storage medium, and a method for targeted training of inductive multi-organization recommendation models for enterprise applications are described herein. The method includes receiving enterprise application data from remote organization computing systems executing the enterprise application, training per-organization recommendation models for a subset of the organizations, and validating each per-organization recommendation model on enterprise application data corresponding to one or more other organizations. The method also includes calculating a transferability metric for each per-organization recommendation model based on results obtained during validation, determining a specified number of organizations including the best-transferring per-organization recommendation models based on the calculated transferability metrics, and training an inductive multi-organization recommendation model using the enterprise application data from the specified number of organizations. The method further includes utilizing the trained inductive multi-organization recommendation model to provide user recommendations to the remote organization computing systems during execution of the enterprise application.

    Designating Automated Agents as Friends in Social Network Service

    公开(公告)号:US20180152396A1

    公开(公告)日:2018-05-31

    申请号:US15884184

    申请日:2018-01-30

    IPC分类号: H04L12/58

    CPC分类号: H04L51/02 H04L51/32

    摘要: A system is described in which a user can add one or more automated agents as “friends” in a social network service. In operation, an automated agent observes an information need expressed by the user via the social network service, e.g., in the form of an original message posted to the social network service; determines whether it is appropriate to reply to the information need; uses automated functionality to generate a reply message to the information need (if it is deemed appropriate to reply to the information need); and sends the reply message to a target destination, such as a social network page associated with the user. For example, without limitation, one type of automated agent performs a question-answering function. Another type of automated agent performs a social referral service.

    IDENTIFYING CHANGES FOR ONLINE DOCUMENTS
    8.
    发明申请
    IDENTIFYING CHANGES FOR ONLINE DOCUMENTS 审中-公开
    识别在线文档的更改

    公开(公告)号:US20160210275A1

    公开(公告)日:2016-07-21

    申请号:US15085891

    申请日:2016-03-30

    IPC分类号: G06F17/22

    摘要: Techniques and systems are disclosed for providing changed content identification for an online document that is accessed by a user or user agent. A reference point for an online document that a user or user agent is interested in accessing is identified, comprising a stored prior version of the document. The prior version of the document is retrieved, when the user or user agent accesses the online document, such as by using the reference point. Elements of the prior version are compared with elements of a current version of the document, to determine whether there are differences between the versions. If changes are identified between the prior version and the current version, the current version is automatically updated with visual or auditory representations that identify those changes of content.

    摘要翻译: 公开了用于为由用户或用户代理访问的在线文档提供改变的内容标识的技术和系统。 识别用户或用户代理感兴趣访问的在线文档的参考点,包括文档的存储的先前版本。 当用户或用户代理访问在线文档时,例如通过使用参考点,检索文档的先前版本。 将先前版本的元素与文档的当前版本的元素进行比较,以确定版本之间是否存在差异。 如果在先前版本和当前版本之间识别到更改,则会自动更新当前版本,以便识别内容更改的视觉或听觉表示。