Faceted Browsing for Video Assets via Attribute Filtering
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Solution Overview
Problem
Users face challenges in efficiently finding desired content among the vast number of entertainment options due to the limitations of current text search and category browsing methods, which are slow and often result in empty or uninteresting sets of results, discouraging content selection and leading to revenue loss for service providers.
Innovation Solution
The implementation of faceted browsing techniques that allow users to navigate content through attributes such as name, genre, and rating, using metadata to refine searches in a step-wise fashion, supported by an asset parser and database system, enabling efficient browsing and selection of video assets.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If text search is used to locate content, then content accuracy is improved, but search speed and ease of operation deteriorate
Solution Approach 1:
The patent segments the content search process into multiple independent attribute dimensions (genre, rating, runtime, etc.), allowing users to filter content by selecting from discrete attribute options rather than typing search queries. This segmentation transforms the single-step text search into a multi-dimensional filtering process that is both accurate and fast.
Solution Approach 2:
The patent introduces a new dimension of attribute-based filtering that complements traditional text search. Instead of relying solely on keyword matching in one dimension, the system adds multiple attribute dimensions (genre, rating, runtime, etc.) that users can combine to precisely locate content quickly through intuitive selection rather than typing.
2Adaptability or versatility
If category hierarchies are used for browsing, then content organization is improved, but browsing efficiency and user engagement deteriorate
Solution Approach 1:
The patent segments the monolithic category hierarchy into independent attribute dimensions. Instead of requiring users to traverse deep nested categories, each attribute (genre, rating, runtime) becomes a separate filter that can be applied independently and combined freely, dramatically reducing the steps needed to locate content.
Solution Approach 2:
The patent transforms the static category hierarchy into a dynamic multi-attribute filtering system. Users can freely combine and recombine attribute filters in real-time based on their preferences, rather than being constrained by predetermined hierarchical paths. This dynamic approach adapts to user needs and maintains engagement.
3Adaptability or versatility
If the number of content options increases, then content variety is improved, but content selection difficulty worsens
Solution Approach 1:
The patent segments the overwhelming content selection task into manageable attribute-based filters. Users can selectively apply filters based on their preferences (e.g., genre, rating, runtime) to narrow down the large content library step-by-step, transforming an overwhelming single-step decision into a series of simple filtered selections.
Solution Approach 2:
The patent applies local quality by providing customized attribute filter options tailored to different user preferences and content types. Each attribute filter can be independently configured and applied to specific content segments, allowing users to optimize their search for different types of content without being overwhelmed by the entire library at once.
Data Source
AI summary
An approach is provided for faceted browsing of video assets. A metadata file is parsed to categorize and rank attributes corresponding to a video asset, wherein the ranked attributes are based on a criterion. A set-top box provides attribute browsing to determine selection of the video asset.