Video Search Query Prediction and Auto-Playback for Faster Retrieval
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Solution Overview
Problem
Conventional video search systems require users to continuously modify search queries to obtain different search results, which is time-consuming and frustrating, especially when users are unaware of the appropriate search terms.
Innovation Solution
A method and system that predicts a search query based on user input, presents suggested queries, and automatically plays back video content items without additional user interaction, using a hardware processor to determine and present predicted and suggested search queries, and search a database for relevant content.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If users continuously modify search queries to obtain different search results, then diverse video content can be retrieved, but the time consumption and user frustration increase significantly
Solution Approach 1:
The system performs preliminary actions by predicting multiple potential search queries and their corresponding video results in advance, before the user actually needs them. When a user inputs a search query, the system has already prepared suggested queries and results, allowing immediate presentation without requiring the user to iteratively modify queries. This resolves the contradiction by providing diverse results (improving adaptability) through pre-computation rather than real-time iterative searching (reducing time loss).
Solution Approach 2:
The system implements feedback by analyzing user search behavior patterns, click-through rates, and viewing preferences to dynamically generate and refine predicted search queries. This feedback loop enables the system to adapt to user needs automatically, providing diverse relevant results without requiring users to manually reformulate queries multiple times, thus resolving the contradiction between result diversity and time efficiency.
2Ease of operation
If the system presents multiple suggested search queries and automatically plays video content, then user interaction is minimized, but the system complexity increases
Solution Approach 1:
The system practices self-service by automatically generating predicted search queries, retrieving corresponding video results, and playing content without requiring continuous user input or selection. The system serves itself by using its own computational resources and algorithms to fulfill user information needs end-to-end, minimizing user interaction while managing complexity through automated processes rather than manual operations.
Solution Approach 2:
The system performs preliminary actions by pre-computing multiple suggested search queries and their associated video results before user selection is needed. This advance preparation reduces the complexity of real-time processing by shifting computational load to offline or background operations, enabling the system to present diverse results with minimal user interaction while managing complexity through temporal distribution of processing tasks.
3Measurement precision
If the system predicts search queries based on user input, then search accuracy improves, but the computational processing required increases
Solution Approach 1:
The system applies partial action by generating a limited set of predicted search queries (e.g., top 3-5 suggestions) rather than exhaustively computing all possible queries. This selective approach maintains high search accuracy for the most relevant predictions while significantly reducing computational energy consumption compared to generating and processing all potential search variations. The system focuses computational resources on the most probable user intents based on input patterns.
Data Source
AI summary
In some examples techniques for searching for video content include receiving one or more characters entered into a first query field by a user; determining a predicted search query based on the one or more characters; determining a plurality of suggested search queries based on the one or more characters; causing the predicted search query to be presented in the first query field and at least a portion of the plurality of suggested search query to be presented in a second query field, wherein the predicted search query is combined with the one or more characters in the first query field; searching a database of videos based on the predicted search query; causing a plurality of video content items from the database of videos responsive to the predicted search query; and causing a first video content item from the plurality of video content items to be played back.