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公开(公告)号:US20240386044A1
公开(公告)日:2024-11-21
申请号:US18198378
申请日:2023-05-17
Applicant: SAP SE
Inventor: Rupam Ojha , Ajay Anand Verma , Srinivasan Ramanathan , Priyanka Aggarwal , Mohit Pratap Singh , Rohit Kumar , Sudhir Verma
Abstract: Support for a product may be provided using an interactive chat interface. The interface may provide recommendations for actions the user may take to address the issue. A support assistant tree may be used in providing information to the user via the user interface. The user interface may include options selectable by the user to traverse the support assistant tree. For example, a server may initially record the state of the user as being at the root node of the support assistant tree. Each child node of the root node may be associated with an answer to a question or an option. When the user selects the associated answer or option, the server provides information related to the corresponding node and updates the recorded state of the user to be the corresponding node. The process may be repeated until a leaf node is reached.
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公开(公告)号:US20240320274A1
公开(公告)日:2024-09-26
申请号:US18124190
申请日:2023-03-21
Applicant: SAP SE
Inventor: Kiran Venkatarama , Sudhir Verma , Anupama Rakesh Singh , Ankit Lohiya , Raghuraj Shetty , Ishita Kriti , Rohan Koul , Anirudh Saraiya , Akhileswara Kumar Chatala , Suketu Nitin Dave , Rohit Kumar
IPC: G06F16/93 , G06F40/166 , G06F40/20 , G06N5/02
CPC classification number: G06F16/93 , G06F40/166 , G06F40/20 , G06N5/02
Abstract: Techniques for conserving system resources using smart document retention are disclosed. A computer system may identify a first portion of a plurality of documents as being decision-making documents based on each document in the first portion being scheduled for deletion within a specified period of time, identify a second portion of the plurality of documents as being non-decision-making documents based on each document in the second portion either being scheduled for deletion outside of the specified period of time or having been converted into and stored as a knowledge base document, and determine a corresponding level of similarity between each decision-making document and each non-decision-making document. The computer system may then cause identifications of a subset of the decision-making documents to be displayed on a computing device based on the corresponding level of similarity between each decision-making document in the subset and at least one of the non-decision-making documents.
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