Personal Entry Ranking Structure for Low-Latency Retrieval
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Solution Overview
Problem
Automated assistants often consume excessive processor resources and cause latency when responding to vague user requests for personal entries, such as reminders, due to the need to actively process and sort all entries, which can result in pertinent reminders being presented late or inefficiently.
Innovation Solution
Implementing a data structure that ranks and partitions personal entries into containers based on criteria like creation time, location, and priority, allowing for efficient selection and rendering of a subgroup of entries without reprocessing, thus reducing latency and resource usage.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If all personal entries are actively processed and sorted according to a single criterion, then complete coverage of all entries is achieved, but processor resource consumption increases and latency occurs
Solution Approach 1:
The patent segments personal entries into multiple containers based on different criteria (e.g., time-based containers for different time periods, priority-based containers). This segmentation allows the system to retrieve only relevant containers for a given query instead of processing all entries, thereby reducing latency while maintaining completeness of relevant results.
Solution Approach 2:
The patent performs preliminary organization of personal entries into ranked containers and subgroups before retrieval operations. Entries are pre-sorted within containers and containers are pre-ranked, so that when a query is made, the system can directly access relevant subgroups without performing comprehensive sorting at query time, thus reducing response latency.
2Reliability
If all personal entries are processed and presented sequentially, then all pertinent entries are eventually presented, but resource usage duration increases especially for interface constraints
Solution Approach 1:
The patent implements partial action by retrieving and presenting only a subset of personal entries that are most relevant to the user's needs. Instead of presenting all entries sequentially, the system identifies and presents pertinent entries from ranked subgroups first, reducing the duration of resource usage while still providing complete coverage of relevant information.
3Device complexity
If a single criterion is used for sorting reminders, then sorting simplicity is maintained, but pertinent reminders may be presented near the end causing user waiting
Solution Approach 1:
The patent adds another dimension to the sorting structure by organizing entries into multiple ranked containers based on different criteria (e.g., time, priority, category) rather than using a single sorting criterion. This multi-dimensional organization allows the system to quickly identify and present pertinent entries from relevant containers without requiring complex multi-criteria sorting algorithms, thus maintaining simplicity while improving response efficiency.
Data Source
AI summary
Generation and/or utilization of particular data structure(s) in more efficiently storing, retrieving, and/or presenting personal entry(s) is described herein. Implementations can utilize the data structure(s) in more efficiently responding to a vague user request that specifies a particular type of personal entry, but lacks any additional features of the personal entry(s) sought. Utilization of the data structure(s) can enable responsive personal entry(s) to be efficiently identified (e.g., processor and/or memory efficiency and/or with reduced latency). For example, some implementations can enable selection of a subgroup of personal entries to provide responsive to the vague request, without necessitating any processing of personal entries, that are not included in the selected subgroup, be performed responsive to the request. As another example, some implementations can additionally or alternatively obviate the need to perform any ranking of the available personal entries of the subgroup on the fly responsive to the request.