Media Object Query Platform Using Community Ranking
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current internet search methods rely on text queries, making it difficult for users to find information about unknown objects they cannot describe effectively.
Innovation Solution
A community-based platform that allows users to submit media objects and queries, where multiple users can provide suggested answers, which are then ranked and presented to the original user, leveraging human identification of key features and collective knowledge.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If text-based search queries are used, then search engines can efficiently process and return results, but users cannot effectively search for unknown objects they cannot describe
Solution Approach 1:
The patent introduces an intermediary system that accepts media objects (images, audio, video) as input and translates them into searchable queries. This intermediary processing layer enables users to search for unknown objects by uploading media files rather than formulating text queries, thus resolving the contradiction between search efficiency and ease of operation for unknown objects
Solution Approach 2:
The patent replaces the mechanical text-based query formulation process with an automated media analysis system. Instead of requiring users to manually describe objects in text, the system automatically analyzes uploaded media objects using computational methods to generate search queries, thereby maintaining search efficiency while eliminating the operational barrier for unknown objects
2Reliability
If multiple users provide suggested answers, then the quality and diversity of responses improve, but the system complexity increases
Solution Approach 1:
The patent merges multiple individual user responses into a collective set of suggested answers that are processed together. By combining individual inputs into a unified ranking process that considers multiple factors (user reputation, answer quality, diversity), the system achieves high answer quality while managing complexity through integrated processing rather than separate complex subsystems for each user
3Measurement precision
If suggested answers are ranked based on multiple criteria, then the most relevant answers are presented, but the ranking process becomes more complex
Solution Approach 1:
The patent employs parameter changes by adjusting the weights and thresholds of multiple ranking criteria dynamically. The system considers multiple parameters including user reputation scores, answer quality metrics, answer diversity measures, and timeliness factors, changing their relative importance based on the specific query context to achieve precise answer relevance while managing ranking complexity through adaptive parameter adjustment
Data Source
AI summary
Methods and systems for submitting media object queries and receiving suggested answers for the media object queries. In one aspect, a method includes receiving from a first user a first media object and a first query relating to content in the first media object, presenting the first media object and the first query to multiple second users, receiving a suggested answer to the first query from each of two or more second users of the multiple second users, where at least two of the suggested answers are distinct, ranking the suggested answers, and presenting one or more of the ranked suggested answers to the first user.