LivePerson had four patents in social media during Q1 2024. LivePerson Inc’s patents filed in Q1 2024 focus on automated response to social queries by monitoring and analyzing user queries and human responses to identify queries suitable for automation. The system then either notifies a human to respond with suggested answers or uses an autonomous software agent to provide responses. Another patent describes a system for storing expert profiles in a database, selecting relevant profiles based on search criteria, and facilitating real-time communication sessions with the selected experts over a network. GlobalData’s report on LivePerson gives a 360-degree view of the company including its patenting strategy. Buy the report here.
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LivePerson grant share with social media as a theme is 50% in Q1 2024. Grant share is based on the ratio of number of grants to total number of patents.
Recent Patents
Application: Systems, media, and methods for automated response to queries made by interactive electronic chat (Patent ID: US20240046374A1)
The patent filed by LivePerson Inc. describes systems, media, and methods for automated response to social queries. The technology involves monitoring user queries submitted to a vendor via an interactive chat feature, analyzing human responses and subsequent communications to resolve queries. Machine learning algorithms are applied to identify queries suitable for automation and determine responses likely to resolve them. The system can either notify a human agent to respond with the suggested answers or deploy an autonomous software agent to provide automated responses.
The patent's claims detail a computer-implemented method and system for detecting user input, identifying queries using machine learning models, determining user status, and selecting appropriate responses to automatically address queries. The technology involves utilizing decision trees, algorithms trained on past interactions, and machine logic to generate responses based on input variables. The system can retrieve data from previous interactions to tailor responses, use APIs for system communication, and employ machine learning models to facilitate automated responses to user queries efficiently. Overall, the patent outlines a comprehensive approach to automating responses to social queries through advanced machine learning techniques and user-specific data analysis.
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GlobalData Patent Analytics tracks bibliographic data, legal events data, point in time patent ownerships, and backward and forward citations from global patenting offices. Textual analysis and official patent classifications are used to group patents into key thematic areas and link them to specific companies across the world’s largest industries.
