Aggregated Product Review System with Automated Extraction
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current methods for finding and aggregating product reviews are inefficient, as users must sift through numerous search engine results or rely on limited websites that manually aggregate reviews, making it cumbersome and time-consuming to obtain a holistic view of product information.
Innovation Solution
A server-based system that collects and automatically extracts product reviews from multiple sources, identifies associated products, generates aggregated review information, including frequently appearing phrases, and stores both individual and aggregated reviews for easy access and navigation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If users use Internet search engines to find product reviews, then they can access multiple sources, but the process becomes cumbersome and time-consuming due to sifting through numerous results
Solution Approach 1:
The patent combines multiple review sources and automatically aggregates reviews from various websites into a single unified interface. The system collects review data from multiple sources, normalizes the data format, and presents consolidated review information to users, eliminating the need to manually search multiple sites.
Solution Approach 2:
The system performs preliminary actions by automatically collecting, extracting, and organizing review data from multiple sources before users need it. Review data is pre-aggregated and stored in a database, so when users search for product reviews, the consolidated information is already prepared and immediately available.
2Ease of operation
If users visit websites that provide reviews manually aggregated, then navigation is simplified, but the number of reviews gathered is limited due to manual processes
Solution Approach 1:
The patent replaces manual mechanical processes with automated computer-based systems. Instead of manual review aggregation, the system uses web crawlers, automated data extraction algorithms, and database management to collect and organize reviews from numerous sources, dramatically increasing the volume of reviews that can be processed.
Solution Approach 2:
The system performs self-service by automatically collecting, extracting, normalizing, and storing review data without human intervention. The automated processes continuously crawl websites, extract review information, and update the database, enabling the system to gather and maintain a large volume of reviews independently.
3Ease of manufacture
If manual aggregation methods are used, then review collection is simple to implement, but the process is very inefficient and limits the number of reviews that can be gathered
Solution Approach 1:
The patent replaces manual mechanical processes with automated computer-based systems. Instead of manual review aggregation, the system uses web crawlers, automated data extraction algorithms, and database management to collect and organize reviews from numerous sources, dramatically increasing the volume of reviews that can be processed.
Data Source
AI summary
The embodiments disclosed herein include new, more efficient ways to collect product reviews from the Internet, aggregate reviews for the same product, and provide an aggregated review to end users in a searchable format. One aspect of the invention is a graphical user interface on a computer that includes a plurality of portions of reviews for a product and a search input area for entering search terms to search for reviews of the product that contain the search terms.