Digital Assistant Media Search Intent Refinement
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Solution Overview
Problem
Users face difficulties in efficiently finding media content due to unclear search intentions and unfriendly search interfaces in media environments, leading to increased time spent browsing for media items.
Innovation Solution
A digital assistant system that processes natural language speech inputs to determine user intents, generates refined search queries, and displays relevant media items based on primary and secondary user intents, reducing browsing time and improving user experience.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of time
If users manually browse media items using existing search interfaces, then they can discover media content, but they spend considerable time and effort in the process
Solution Approach 1:
The patent replaces manual mechanical browsing through complex search interfaces with an automated speech-based system. Users simply speak their intent naturally, and the system automatically processes the speech input, determines user intent, generates search queries, and displays results - substituting the mechanical interaction of navigating complex interfaces with automated speech processing and intent recognition
Solution Approach 2:
The system performs self-service by automatically generating search queries and refining results based on user intent without requiring manual interface navigation. The digital assistant autonomously executes the search process, from interpreting speech input to displaying tailored media recommendations, eliminating the need for users to manually operate complex search functions
2Measurement precision
If users provide vague search requests, then they can initiate media search, but the search results are not precise enough
Solution Approach 1:
The system performs preliminary action by pre-defining multiple possible user intents and their corresponding search query structures before actual search execution. When speech input is received, the system matches it against pre-established intent patterns and templates, allowing rapid generation of precise search queries without complex real-time analysis
Solution Approach 2:
The system dynamically adapts the search query precision based on the determined user intent. Different intent types trigger different query generation strategies and result filtering approaches, allowing the system to optimize search precision dynamically according to the specific user need rather than using a fixed complex analysis process for all cases
Data Source
AI summary
Systems and processes are disclosed for operating a digital assistant in a media environment. In an example process, a primary set of media items can be displayed. An audio input containing a media-related request can be received. A primary user intent corresponding to the media-related request can be determined. In accordance with a determination that the primary user intent comprises a user intent to narrow the primary media search query, a second primary media search query corresponding to the primary user intent can be generated. The second primary media search query can be based on the media-related request and the primary media search query. The second primary media search query can be performed to obtain a second primary set of media items. Display of the primary set of media items can be replaced with display of the second primary set of media items.