Keyword-Genre Search Engine for Media Content Discovery
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Solution Overview
Problem
Television service providers face challenges in helping customers discover content of interest due to limitations in their search tools and interfaces, leading to customers often bypassing the search functionality.
Innovation Solution
Implementing a content search program that stores metadata with key words associated with content genres, allowing the search engine to match search queries with these keywords, thereby disassociating irrelevant content and providing more relevant search results.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a typical content search tool is used, then the search function is provided, but the search results are often irrelevant and customers cannot discover content of interest
Solution Approach 1:
The search system segments content into different genres and associates each genre with specific keywords. When a user searches, the system divides the content library by genre and filters results based on genre-specific keywords, improving relevance by considering contextual associations rather than just exact keyword matches.
Solution Approach 2:
Genre information acts as an intermediary between the search query and the content items. The system uses genre keywords as a mediator to bridge the gap between user search terms and actual content, allowing for more intelligent matching that accounts for contextual relationships.
2Quantity of substance
If the search tool provides comprehensive search results, then more content is returned, but irrelevant content increases and users must spend more time filtering
Solution Approach 1:
The system performs preliminary classification of content into genres and pre-associates keywords with each genre before the user searches. This preliminary organization allows the search system to quickly filter and rank results based on genre-relevant keywords, reducing the time users spend reviewing irrelevant results.
Solution Approach 2:
The search system applies different filtering criteria for different genres. Instead of using a uniform search algorithm for all content, it tailors the search logic to each genre's specific keywords and characteristics, improving the quality of results for each content type while maintaining comprehensive coverage.
3Speed
If the search engine uses simple keyword matching, then the search process is fast, but it cannot distinguish between relevant and irrelevant content matches
Solution Approach 1:
The system pre-processes content by identifying and storing genre information and associated keywords before user searches occur. This preliminary indexing allows the search engine to quickly retrieve and filter content based on genre-relevant keywords, maintaining speed while improving precision through pre-organized data structures.
Solution Approach 2:
The search system integrates multiple functions into a single search process: it performs genre classification, keyword matching, relevance ranking, and result filtering all within one unified search operation. This multi-functionality allows the system to achieve both speed and precision by handling multiple tasks simultaneously rather than sequentially.
Data Source
AI summary
A method may include receiving, from a user device, a search query associated with identifying media content available from a service provider. The method may also include accessing a table including entries storing metadata associated with media content, wherein the table includes a key word field and at least some of the entries include key words/terms stored in the key word field. The method may further include identifying a first entry in the table based on a word/term in the search query matching metadata stored in the first entry, determining whether a word in the search query matches a word in the key word field of the first entry and providing a search result identifying a first media content corresponding to the first entry, in response to determining that a word in the search query matches a word in the key word field of the first entry.