Personalized Video Entertainment System Using Preference Profiles
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Solution Overview
Problem
Current video entertainment systems lack the ability to efficiently and personally tailor content selection for viewers, leading to increased time spent searching through numerous channels and subscriptions, with viewers often being forced to pay for unwanted content.
Innovation Solution
A personalized video entertainment system that generates viewer preference profiles to construct customized content sequences from a database of video content items, allowing viewers to select and control the delivery of preferred content items via a video server and user interface, enabling active and passive viewing experiences.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If traditional broadcast and satellite delivery modes are used, then content can be delivered to all viewers simultaneously, but viewers are forced to pay for content they do not want and spend excessive time searching through numerous channels
Solution Approach 1:
The system performs preliminary action by generating viewer preference profiles in advance and constructing personalized content sequences before the viewer needs to search. The video server pre-processes content based on stored preference data, so when a viewer logs in, their customized content sequence is already ready, eliminating the need to manually search through channels.
Solution Approach 2:
The system enables self-service by automatically generating personalized content sequences based on stored viewer preference profiles without requiring manual intervention. The video server autonomously selects and sequences content according to each viewer's preferences, allowing viewers to passively receive customized content sequences tailored to their tastes.
2Adaptability or versatility
If viewers subscribe to multiple channels and content bundles to ensure access to desired content, then content availability increases, but cost increases and unwanted content must be paid for
Solution Approach 1:
The system applies local quality by customizing content sequences for each individual viewer based on their specific preference profile. Instead of providing the same content bundle to all subscribers, the video server tailors the content selection to each viewer's local preferences, ensuring that each person receives exactly the content they want without paying for content others in the household may enjoy.
Solution Approach 2:
The system segments the content delivery by creating separate personalized content sequences for different viewers from the same content library. The video server divides the available content into viewer-specific sequences based on preference profiles, allowing each viewer to access their own customized subset of content without requiring separate subscriptions for each person.
3Adaptability or versatility
If a large number of channels are provided to increase content selection, then content variety increases, but the complexity of the system increases and search time increases
Solution Approach 1:
The system performs preliminary action by pre-constructing personalized content sequences based on stored viewer preference profiles. The video server pre-processes and sequences content according to each viewer's preferences before delivery, so the complex task of content selection and organization is done in advance, presenting a simplified interface to the viewer.
Solution Approach 2:
The system introduces an intermediary layer (the video server with preference profile database) between the large content library and the viewer. This intermediary automatically matches content to viewer preferences and constructs personalized sequences, shielding the viewer from the complexity of the underlying large-scale content management system.
Data Source
AI summary
One or more content sequences are created from a store of video content, which could simply be broadcast content which has been captured and stored at a server within a network. The content sequences are generated according to the viewer's specified, or demonstrated, viewing preferences. The viewer preferences are captured form entry by the user themselves, or by observation of their viewing habits. Multiple ‘users’ per household and multiple content sequences per viewer are possible. A content sequences is then streamed to the viewer, and looks to him/her just like a TV channel: when one program ends, another starts automatically. It is also possible for a viewer to select an item within the content sequence using an interactive program controller.