Review Video Topic Segmentation for E-commerce
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Solution Overview
Problem
Current e-commerce platforms face inefficiencies in presenting user-submitted product review videos, as buyers struggle to find relevant content within lengthy videos discussing specific product features, leading to wasted time and increased network resources due to unnecessary video playback.
Innovation Solution
Enhancing review videos by processing them to identify discussed topics and sentiments, allowing users to navigate directly to relevant sections through user interface elements, reducing the need for full video playback and optimizing network usage.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If full review videos are played to allow users to find relevant topics, then users can access complete information, but users spend excessive time watching irrelevant content and network bandwidth is wasted
Solution Approach 1:
The patent segments the review video by identifying multiple topics discussed within it and creating separate navigable sections for each topic. The video is divided into topic-specific segments with timestamps, allowing users to jump directly to relevant portions rather than watching the entire video. This segmentation resolves the contradiction by maintaining complete information availability while enabling rapid access to specific topics of interest.
Solution Approach 2:
The system performs preliminary analysis of the review video before user viewing to automatically identify and timestamp all discussed topics. This preprocessing creates an index of topics with their corresponding time positions in the video, so that when users view the video, they can immediately navigate to relevant sections without manually searching through irrelevant content. The preliminary topic identification eliminates the need for users to watch unrelated portions of the video.
2Loss of information
If full review videos are played to ensure complete information delivery, then all content is transmitted, but network bandwidth consumption increases
Solution Approach 1:
The patent extracts only the essential metadata from the full video - specifically topic identifiers and their corresponding timestamps - and presents this extracted information as navigable user interface elements. Users can access the video content selectively based on their interests rather than receiving the complete video stream. This extraction approach maintains information completeness for interested users while significantly reducing network bandwidth consumption by avoiding transmission of irrelevant video portions.
3Reliability
If users watch complete review videos to find specific product feature discussions, then they ensure no relevant information is missed, but server load increases due to full video streaming
Solution Approach 1:
The video is segmented into topic-specific sections with timestamps, allowing the server to stream only the relevant portions of the video when users select specific topics through the user interface elements. This segmentation enables the server to maintain reliability by providing complete information for selected topics while improving productivity by avoiding the energy-intensive task of streaming entire videos, especially when users are only interested in specific product features.
4Ease of operation
If review videos are presented without topic navigation to maintain simple interface, then device complexity is low, but users cannot quickly locate relevant content
Solution Approach 1:
The patent introduces topic tags as intermediary elements between the user and the video content. These tags serve as a simple navigation layer that allows users to quickly locate relevant content by selecting topics of interest, while the underlying video structure remains unchanged. The intermediary topic navigation system improves ease of operation by enabling fast content location without requiring complex interface changes to the video player itself, as the tags act as a lightweight overlay for navigation.
Data Source
AI summary
Review videos on product pages are enhanced with user interface elements that cause playback of the review videos at points at which particular topics are discussed. A review video is processed by converting speech to text and timestamping the text. Topics are identified in the text, and a time in the review video corresponding to each topic is identified from the timestamps for the text. In some configurations, sentiment is also determined for each topic. User interface elements corresponding to each identified topic are presented with the review video on the product page. When a user viewing the product page selects a user interface element, the review video is played at a time corresponding to the topic of the selected user interface element.