Application Service Trees for Faster Deep-Link Suggestions
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Solution Overview
Problem
Existing automated assistant applications often provide inefficient application suggestions due to a lack of optimized resources, requiring users to navigate through multiple interfaces to reach desired features, wasting computational and power resources.
Innovation Solution
Implementing data tree structures, either cached locally or sourced from remote servers, to facilitate efficient and relevant application service suggestions, reducing latency and resource consumption by providing direct deep links to desired application features.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If application suggestions are provided using basic search interfaces without optimized data structures, then the system is simpler to implement, but user interaction time and resource consumption increase significantly
Solution Approach 1:
The patent applies preliminary action by pre-generating and caching tree data structures that organize application services and their features before users need them. When a user searches for an application, the system has already prepared the hierarchical structure showing features, sub-features, and related services, eliminating the need for users to navigate through multiple interface screens to discover available functionality.
Solution Approach 2:
The patent segments application data into hierarchical tree structures where applications are divided into services, services into features, and features into sub-features. This segmentation allows the system to present only relevant portions of the application functionality based on user search queries, rather than requiring users to explore entire application interfaces.
2Speed
If cached native data structures are used for searching, then search latency is reduced, but the data structures consume local memory resources
Solution Approach 1:
The patent applies local quality by caching tree data structures selectively based on predicted user needs and application usage patterns. Rather than caching all possible data structures uniformly, the system caches those most likely to be queried, storing detailed hierarchical structures for frequently accessed applications while using more compact representations for less frequently used applications.
3Loss of information
If comprehensive application features are listed in search results, then users get more information, but the complexity of navigating to desired features increases
Solution Approach 1:
The patent applies preliminary action by pre-organizing application services into hierarchical tree structures that group related features together. When users search for an application, the system presents a structured overview showing services and their associated features in an organized manner, allowing users to quickly identify and navigate to desired functionality without being overwhelmed by a flat list of all features.
Solution Approach 2:
The patent transforms the flat, two-dimensional search interface into a multi-dimensional hierarchical structure. Instead of presenting features as a simple list, the system organizes them into trees with multiple levels (application → service → feature → sub-feature), adding structural dimensions that help users understand relationships and navigate more efficiently through the feature space.
Data Source
AI summary
Implementations set forth herein relate to providing suggestions for application services using tree data structures provided by various application sources. A native data structure, created by an assistant application or other related application, can be present in a local memory and, depending on the status of this native data structure, can be utilized to generate deep links to be rendered within the search interface. Selection of a particular deep link can initialize particular operations and/or routines at one or more client or remote applications. When the native structure is unavailable, or does not satisfy certain criteria, other actions can be initiated for fetching data from remote sources or utilizing other locally available application data structures. In some implementations, graphical user interface elements indicating operation statuses can be rendered based on the available data structure(s), thereby aiding in selecting certain services across multiple applications.