Invention Grant
- Patent Title: Interactive search experience using machine learning
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Application No.: US16394853Application Date: 2019-04-25
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Publication No.: US11294891B2Publication Date: 2022-04-05
- Inventor: Milan Aggarwal , Balaji Krishnamurthy
- Applicant: Adobe Inc.
- Applicant Address: US CA San Jose
- Assignee: Adobe Inc.
- Current Assignee: Adobe Inc.
- Current Assignee Address: US CA San Jose
- Agency: Finch & Maloney PLLC
- Main IPC: G06F16/332
- IPC: G06F16/332 ; G06F16/242 ; G06N20/00 ; H04L51/02 ; G06F40/205

Abstract:
Techniques are disclosed for providing an interactive search session. The interactive search session is implemented using an artificial intelligence model. For example, when the artificial intelligence model receives a search query from a user, the model selects an action from a plurality of actions based on the search query. The selected action queries the user for more contextual cues about the search query (e.g., may enquire about use of the search results, may request to refine the search query, or otherwise engage the user in conversation to better understand the intent of the search). The interactive search session may be in the form, for example, of a chat session between the user and the system, and the chat session may be displayed along with the search results (e.g., in a separate section of display). The interactive search session may enable the system to better understand the user's search needs, and accordingly may help provide more focused search results.
Public/Granted literature
- US20200341976A1 INTERACTIVE SEARCH EXPERIENCE USING MACHINE LEARNING Public/Granted day:2020-10-29
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