CONTENT PUBLISHER RECOMMENDER
    2.
    发明公开

    公开(公告)号:US20240004908A1

    公开(公告)日:2024-01-04

    申请号:US18253201

    申请日:2021-11-11

    摘要: Disclosed is a content publisher recommender system comprising: a server; a content database, configured within the server, within which are stored one or more channels associated with an end user, wherein the one or more channels stores at least one end user identification and a user historical database including a time log of the end user's activity, a log of search phrases used by the end user, a record of results identified on the search phrases; a ranking of the record of results, a record of which results the end user interacts with and a record of the format of the first clicked results from an end user wherein the search phrases are analysed using natural language processing to reduce the terms of the search phrases to their root form, the terms of the phrase are broken down into their part of speech and all keywords identified during natural language processing have stop words removed; and wherein considerations of the stored data and the analysis provides a ranking for searching to provide recommended content.

    CAP-SENSITIVE TEXT SEARCH FOR DOCUMENTS
    7.
    发明申请
    CAP-SENSITIVE TEXT SEARCH FOR DOCUMENTS 审中-公开
    敏感文本搜索文档

    公开(公告)号:US20100205175A1

    公开(公告)日:2010-08-12

    申请号:US12763995

    申请日:2010-04-20

    申请人: Bryn Dole

    发明人: Bryn Dole

    IPC分类号: G06F17/30

    CPC分类号: G06F16/3335

    摘要: A capitalization-sensitive (“Cap-sensitive”) search is a feature that provides the ability to specify as search criteria both a term and a capitalization characteristic or signature of the term. There are conventional approaches that enable a capital-sensitive approach to be performed from within a document.

    摘要翻译: 资本敏感型(“Cap-sensitive”)搜索功能是一种功能,可以将该术语的术语和大写字母特征或签名指定为搜索标准。 有一些常规方法可以使文件中的资本敏感方法得以实现。

    SYSTEMS, METHODS, AND SOFTWARE FOR ENTITY EXTRACTION AND RESOLUTION COUPLED WITH EVENT AND RELATIONSHIP EXTRACTION
    8.
    发明申请
    SYSTEMS, METHODS, AND SOFTWARE FOR ENTITY EXTRACTION AND RESOLUTION COUPLED WITH EVENT AND RELATIONSHIP EXTRACTION 审中-公开
    用于实体提取和解决方案的系统,方法和软件与事件和关系提取相关联

    公开(公告)号:US20090222395A1

    公开(公告)日:2009-09-03

    申请号:US12341926

    申请日:2008-12-22

    IPC分类号: G06N5/02

    摘要: For automated text processing, the inventors devised, among other things, an exemplary system that includes an entity tagger, an entity resolver, a text segment classifier, and a relationship extractor. The entity tagger receives an input text segment, and tags named entities with the segment as being a person, company, or place. The entity resolver accesses authority files, and associates the persons and companies named in the text segment with specific entries in the files. The text segment classifier determines whether the text segment includes a relationship event, such as job-change event or merger and acquisition event, and if an event is detected, the relationship extractor determines the event role of entities named in the segment. For example, the extractor determines for a merger and acquisition event, which named company was the acquirer and which was acquired.

    摘要翻译: 对于自动文本处理,发明人设计了包括实体标签器,实体解析器,文本段分类器和关系提取器的示例性系统。 实体标签器接收输入文本段,并将该段的标签命名为人,公司或地点。 实体解析器访问权限文件,并将文本段中命名的人员和公司与文件中的特定条目相关联。 文本段分类器确定文本段是否包括关系事件,例如作业更改事件或合并和获取事件,并且如果检测到事件,则关系提取器确定段中命名的实体的事件角色。 例如,提取者确定合并和收购事件,哪个命名公司是收购方,并且被收购。

    SYSTEMS AND METHODS FOR DYNAMICALLY PROVIDING INTELLIGENT RESPONSES

    公开(公告)号:US20240232238A1

    公开(公告)日:2024-07-11

    申请号:US18094032

    申请日:2023-01-06

    摘要: Systems and methods for providing dynamic responses to a user query are disclosed herein. A system receives a message request from a computing device, and generates an intent associated with the message request based on a pre-processing of the message request. Further, the system concurrently transmits a query to a database for a prestored response to the message request based on the generated intent, and the generated intent to a knowledge source searcher. The knowledge source searcher asynchronously queries one or more knowledge sources for a predicted response to the message request. Furthermore, the system receives the prestored response from the database and the predicted response from the knowledge source searcher, determines a response to the message request, from at least one of the prestored response and the predicted response, based on a scoring model, and transmits the determined response to the computing device.