Information Retrieval System for Infant Care Data Filtering
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Solution Overview
Problem
Parents and caregivers face a significant burden in finding and evaluating useful information for infant care, as they must manually search and assess the relevance of abundant online information, which is time-consuming and inefficient.
Innovation Solution
A system comprising an information database, score database, inference engine, and information providing module that automatically retrieves and ranks relevant messages based on source data such as entity observations, environmental data, and user scores, providing a curated list of useful information to the user.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If parents manually search and evaluate online information for infant care, then they can find useful information, but it is time-consuming and increases their burden
Solution Approach 1:
The system enables self-service by automatically collecting, filtering, and evaluating infant care information from multiple online sources without requiring parental intervention. The information processing system autonomously performs tasks including web crawling, content analysis, and relevance ranking, delivering curated information directly to parents who would otherwise need to manually search and evaluate numerous sources themselves
Solution Approach 2:
The patent introduces an intermediary information processing system that acts as a mediator between parents and the vast amount of online infant care information. This intermediary automatically retrieves data from multiple sources, evaluates reliability using predefined criteria, and presents filtered results to parents, thereby eliminating the need for them to directly navigate and assess numerous online resources
2Ease of operation
If a system automatically collates information, then parents' burden is reduced, but the system complexity increases
Solution Approach 1:
The information processing system is segmented into distinct functional modules: an information retrieval module that collects data from multiple sources, an evaluation module that assesses reliability using predefined criteria, a filtering module that removes irrelevant content, and a delivery module that presents results to parents. This modular segmentation manages system complexity by organizing functions into independent, manageable components that can be developed and maintained separately
Solution Approach 2:
The system incorporates feedback mechanisms where parent interactions with presented information (such as ratings, corrections, or preference indications) are fed back into the system to refine future information selection and evaluation. This feedback loop allows the system to adapt and improve its information filtering capabilities over time without requiring complete system redesign, thereby managing complexity through iterative refinement
Data Source
AI summary
This application discloses a system for providing information related to an observed entity to a user. The system includes an information database, a score database, an inference engine and an information providing module. The information database has a plurality of messages stored therein and the messages are related to the observed entity. The score database has a plurality of scores recorded thereinto, and the scores are corresponding to the messages and are input by the user. The inference engine retrieves at least one selected message from the messages stored in the information database according to at least one source data and the score database and generates a list of the selected message. The information providing module provides the selected message to the user according to the list.