Virtual Article Recommendations for Faster Object Placement
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Solution Overview
Problem
The inefficiency in browsing and searching for specific virtual articles in a construction interface of a virtual building, leading to low efficiency in replacing or placing virtual articles, due to large quantities and varied options, necessitates a more streamlined selection process.
Innovation Solution
A method and apparatus that display recommended virtual articles based on a trigger operation on a reference virtual object, utilizing recommendation labels to facilitate direct selection and placement of target virtual articles, thereby reducing the need for level-by-level screening.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If users browse and search for virtual articles level by level through tabs, then they can find specific articles, but the browsing and screening efficiency is low
Solution Approach 1:
The system pre-generates recommendation lists based on user behavior data, article attributes, and construction context before the user needs to select articles. This preliminary preparation of candidate articles eliminates the need for users to manually browse through all articles level by level, directly reducing screening time while maintaining selection accuracy through personalized recommendations
Solution Approach 2:
The patent introduces an intermediary recommendation system that acts as a mediator between the user and the article database. Instead of direct browsing, the system provides curated recommendation lists as an intermediate layer, filtering and organizing articles based on relevance, which significantly reduces the time users spend searching while ensuring they find appropriate articles for their construction needs
2Adaptability or versatility
If the article list contains large quantities and rich variety of virtual articles, then the selection diversity is improved, but the browsing and searching efficiency deteriorates
Solution Approach 1:
The system applies local quality by providing different article recommendation strategies for different construction contexts and user needs. Instead of a uniform browsing interface, the recommendation engine tailors the article presentation based on the specific construction scenario, user preferences, and article categories, making the diverse article list more manageable and efficient to navigate while preserving access to all article types
Solution Approach 2:
The system pre-organizes the large quantity of diverse articles into contextualized recommendation groups based on construction needs, article attributes, and user behavior patterns. This preliminary organization of diverse articles into meaningful clusters allows users to efficiently access the full variety of articles without manually browsing through the entire database, thereby maintaining article diversity while improving replacement efficiency
3Measurement precision
If users manually select and place virtual articles through multiple steps, then the placement accuracy is ensured, but the operation complexity increases
Solution Approach 1:
The system merges multiple discrete operations (article selection, attribute verification, and placement) into a single integrated recommendation and placement workflow. By combining these steps into one streamlined process where the recommendation system handles attribute matching and the user simply selects from pre-filtered options, the system reduces operation complexity while maintaining placement accuracy through the underlying multi-step verification logic
Data Source
AI summary
In a virtual object processing method, a construction interface of a virtual building is output for display in a virtual scene. The virtual building includes at least one virtual object. At least one recommended virtual object is output for display based on a trigger operation performed on a reference virtual object of the at least one virtual object of the virtual building. The at least one recommended virtual object is determined based on a recommendation label of the reference virtual object. Based on a selection operation performed on a target virtual object of the at least one recommended virtual object, the target virtual object is added to the virtual building.