Search Result Ranking via Perceived Content Popularity
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Solution Overview
Problem
Existing search engines do not effectively prioritize search results based on the perceived popularity of real-world content items, such as music artists or songs, which can lead to less relevant information being presented to users.
Innovation Solution
A system that assesses the perceived popularity of content items by analyzing internet references and metadata, using genre-specific catalogs and classifiers to determine a content item's popularity score, and presents search results accordingly, distinguishing between the popularity of the content item and its digital instances.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If search results are presented based on traditional relevance algorithms, then comprehensive information coverage is achieved, but the relevance and user satisfaction deteriorates due to lack of popularity-based prioritization
Solution Approach 1:
The patent changes the ranking parameter from traditional relevance metrics to a popularity-based metric. The system determines a popularity value for each content item based on multiple factors including number of references, recency, and source authority, then uses this popularity value to rank search results. This parameter change directly addresses the contradiction by improving user satisfaction through popularity-based prioritization while maintaining comprehensive information coverage.
2Loss of information
If all search results are presented without popularity weighting, then information completeness is maintained, but search result effectiveness deteriorates due to lack of prioritization
Solution Approach 1:
The system performs preliminary action by pre-determining popularity values for content items before they are presented in search results. The popularity determination process analyzes multiple factors including number of references, recency, and source authority in advance, creating a readiness structure that enables effective prioritization when search results are generated, thereby improving search result effectiveness without losing information completeness.
Solution Approach 2:
The patent introduces a popularity parameter that weights search results based on determined popularity values. This parameter change allows the system to prioritize more reliable and popular content items while still presenting all relevant results, thus improving search result effectiveness without compromising information completeness.
3Device complexity
If search results are ranked without considering content item popularity, then processing simplicity is maintained, but information accuracy deteriorates due to lack of popularity assessment
Solution Approach 1:
The patent segments the popularity determination process into distinct components: determining the number of references to a content item, determining the recency of those references, determining source authority, and combining these factors to calculate an overall popularity value. This segmentation makes the complex popularity assessment manageable and implementable while improving measurement precision.
Solution Approach 2:
The system changes from simple ranking parameters to multiple popularity-related parameters including number of references, recency, and source authority. These parameter changes enable accurate popularity measurement while maintaining reasonable system complexity through structured processing of each parameter.
Data Source
AI summary
Search results may be yielded based on a search query. A search query inspired by a user may be received. Based on the search query, multiple search results each including links may be determined. The multiple search results may include a first search result that includes a link to a first digital instance that describes or embodies a first content item, and a second search result that includes a link to a second digital instance that describes or embodies a second content item. A perceived popularity may be assessed for each of the first and second content items. The perceived popularity may be a measure of the popularity of the first and second content items, and may be distinct from a popularity of the first and second digital instances. A presentation of the multiple search results may be determined based on the accessed perceived popularity.