Dynamic Interest Tag Subset Switching for Video Recommendation
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Solution Overview
Problem
Current interest tag based processing solutions are inefficient in presenting a sufficient number of interest tags to users, leading to poor content recommendation accuracy and user interaction experience.
Innovation Solution
A processing method and apparatus that dynamically switch presentations of different subsets of a preset interest tag set on a first page, allowing more than one but fewer than all interest tags to be displayed, enabling users to dynamically adjust their interest tags during application use.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If all interest tags are displayed on the first page, then the user can see all available tags, but the page display space is excessive and the presentation becomes cluttered
Solution Approach 1:
The patent divides the complete interest tag set into multiple subsets, with each subset containing a portion of the total tags. The system dynamically switches between different subsets on the first page, allowing users to access all tags across multiple views without displaying all tags simultaneously. This segmentation resolves the contradiction by presenting a manageable number of tags at any given time while ensuring comprehensive tag availability through subset switching.
2Ease of operation
If a static interest tag set is presented to users, then the implementation is simple, but the user interaction and interestingness are reduced
Solution Approach 1:
The patent transforms the static interest tag presentation into a dynamic system where the displayed tag subset changes based on user interactions. The system switches between different tag subsets in response to user operations such as sliding gestures or clicks, making the interface more engaging and adaptive. This dynamic switching maintains implementation simplicity while significantly enhancing user interaction and interestingness.
3Adaptability or versatility
If the interest tag set is fixed and complete, then all user preferences can be covered, but the presentation efficiency and user focus are reduced
Solution Approach 1:
By segmenting the complete interest tag set into multiple focused subsets, the system enables efficient presentation of relevant tags while maintaining comprehensive coverage capability. Each subset can be optimized for specific contexts or user states, allowing the system to present the most relevant tags first and enable access to additional tags through subset switching. This approach improves presentation efficiency by reducing initial cognitive load while preserving the ability to cover all user preferences.
Data Source
AI summary
Disclosed in embodiments of the present disclosure are processing methods, apparatuses, based on an interest tag, devices, and storage media. An example method comprises: in response to an operation to switch to a next recommended video in a queue of videos to be recommended, presenting an interest tag set, wherein the next recommended video is a target recommended video, and the interest tag set is included in video content of the target recommended video, and wherein presenting the interest tag set includes presenting the interest tag set in the target recommended video on a first page.