Review Snippet Extraction via Feedback Support Degrees
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Solution Overview
Problem
The abundance of product and service reviews on the Internet makes it difficult to locate comment contents with credibility on various aspects of products and services, as existing methods do not effectively summarize user feedback to reflect overall user opinions.
Innovation Solution
A method and system that receive reviews and corresponding feedbacks, calculate support degrees for evaluating sentences, and extract relevant sentences as snippets to represent user opinions on product features, using a computer device and modules for receiving, support degree calculation, and snippet generation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If all review comments are presented to users, then completeness of information is improved, but information retrieval efficiency deteriorates due to large volume
Solution Approach 1:
The patent extracts key evaluating sentences from comprehensive reviews based on support degrees calculated from feedback. This extraction process isolates the most credible and representative comments, allowing users to access essential information without being overwhelmed by the full volume of review data, thus resolving the contradiction between information completeness and retrieval efficiency.
Solution Approach 2:
The patent introduces an intermediary mechanism (support degree calculation based on feedback) that mediates between the complete review data and user information needs. This intermediary filters and ranks evaluating sentences, providing a bridge that maintains information completeness while enabling efficient retrieval through credibility-based prioritization.
2Loss of information
If comprehensive reviews are provided, then information completeness is improved, but credibility identification becomes difficult
Solution Approach 1:
The patent utilizes feedback from multiple users as a credibility measurement mechanism. By calculating support degrees based on feedback quantity and quality, the system objectively identifies credible evaluating sentences within comprehensive reviews, resolving the difficulty of credibility identification while maintaining information completeness.
Solution Approach 2:
The patent replaces subjective credibility assessment with an objective computational mechanism (support degree calculation). This substitution transforms the credibility identification process from a difficult manual evaluation into an automated, precise measurement system that can handle comprehensive review data effectively.
3Loss of information
If all evaluating sentences are displayed, then information completeness is improved, but ease of operation deteriorates due to information overload
Solution Approach 1:
The patent segments comprehensive review information into individual evaluating sentences and ranks them by support degree. This segmentation allows users to access complete product feature evaluations while easily locating credible comments through the prioritized presentation, resolving the contradiction between information completeness and ease of operation.
Data Source
AI summary
A method and system for generating snippet for review on the Internet. The method includes the steps of: receiving a review and a set of feedbacks corresponding to the review, where the review includes a plurality of evaluating sentences that evaluates product features of a product; calculating support degrees of each of the plurality of evaluating sentences by using the set of feedbacks; extracting, by relying on calculated support degrees of each of the evaluating sentences, at least one of the evaluating sentences from the plurality of evaluating sentences; and designating extracted evaluating sentence as a snippet of the review; where at least one of the steps is carried out by using a computer device.