DYNAMICALLY CREATING CUSTOM HYPERLINKS FOR PREDEFINED SEARCH QUERIES FOR MULTIPLE WEBSITES

    公开(公告)号:US20240354351A1

    公开(公告)日:2024-10-24

    申请号:US18761150

    申请日:2024-07-01

    Applicant: Optery, Inc.

    Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media for creating custom system generated hyperlinks for predefined search queries at an external website. The system stores, in a data storage device, a set of custom URL templates, the custom URL templates defining required data fields to concatenate as parameters for a website link. The system obtains user information about a user where the information includes at least a first name and last name of the user. The system retrieves from the data storage device the set of custom URL templates. The system generates multiple website links based on the retrieved custom URL templates, where the generated website link includes a domain name of a website, and concatenated fields that are parameter specific to the website. The system then displays, via a user interface, a representation of the generated website links for selection by a user.

    CONTENT GENERATION SYSTEM
    6.
    发明公开

    公开(公告)号:US20240346237A1

    公开(公告)日:2024-10-17

    申请号:US18637896

    申请日:2024-04-17

    Inventor: Haruyoshi HINO

    Abstract: Using communicative human language information inputted through the User Interface (UI), an LLM (Language Learning Model) acquires communicative human language information to include in the content. Simultaneously, using the communicative human language information inputted through the UI, the LLM acquires information for selecting visualization software capable of generating visual information to include in the content. Based on the acquired communicative human language information, the visualization software is selected. According to the communicative human language information inputted through the UI, the selected visualization software is operated based on the text information acquired from the LLM's output. Visual information for inclusion in the content is acquired, and content containing at least a part of the acquired communicative human language information and at least a part of the acquired visual information is generated and outputted.

    CONTENT SEARCH METHOD, APPARATUS, DEVICE, AND MEDIUM

    公开(公告)号:US20240330385A1

    公开(公告)日:2024-10-03

    申请号:US18740183

    申请日:2024-06-11

    Inventor: Jianxing LU

    CPC classification number: G06F16/9537 G06F16/9538

    Abstract: The present disclosure relates to a content search method, apparatus, device, and a medium. The content search method comprises: receiving a search keyword, wherein the search keyword is related to a target scenic spot, the target scenic spot comprises a plurality of scenic spot regions, and the plurality of scenic spot regions are obtained by dividing a target scenic spot according to at least one of a geographic location or a scenic spot item; and displaying a plurality of search results on a search result page, wherein each search result comprises a scenic spot region identifier and at least one video content, which correspond to one scenic spot region.

    SYSTEM AND METHOD FOR OPTIMIZING CONTENT TO IMPROVE SEARCH RESULTS OF A NATURAL LANGUAGE INTERACTION APPLICATION

    公开(公告)号:US20240330378A1

    公开(公告)日:2024-10-03

    申请号:US18127901

    申请日:2023-03-29

    CPC classification number: G06F16/9535 G06F16/906 G06F16/9538

    Abstract: The present invention provides a system and method for optimizing content to improve search results of a natural language interaction application such as ChatGPT. The method includes processing user data using natural language techniques to identify user intent, sentiment, and other relevant information. The system generates a dynamic response tailored to the specific user and context based on the user's intent, personal profile, and contextual information. The present invention provides a unique approach to optimize content for ChatGPT-based search engines, leading to higher search rankings and increased user engagement. The system also includes local engines that interact with ChatGPT to ensure the accuracy of their classification functions, such as sentiment analysis and tone detection, and machine learning algorithms to improve the system's performance continuously.

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