Media Guidance System for Location-Aware Content Recommendations
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Solution Overview
Problem
The overwhelming volume of media content available to consumers makes it difficult for them to select relevant content without effective guidance, as existing systems lack efficient mechanisms for recommending media items based on user location and popularity.
Innovation Solution
A method and system that receive user queries, determine search terms, location, and popularity information to select media content items and sources, presenting a recommendation interface with relevant media content items from available sources, including live and on-demand content, using popularity, location, and user interest data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If the number of media content sources increases to provide more content options, then the variety and quantity of available media content increases, but the complexity of media guidance and user decision-making increases
Solution Approach 1:
The patent introduces a media guidance application as an intermediary layer between users and multiple media content sources. This application automatically presents recommended content items aggregated from various sources (linear TV, VOD, personal media, OTT providers) without requiring users to manually navigate each source, thereby resolving the complexity issue while maintaining access to diverse content.
Solution Approach 2:
The system incorporates feedback mechanisms by analyzing user interactions, ratings, and viewing patterns to dynamically adjust and personalize content recommendations. This feedback loop enables the system to adapt to user preferences over time, providing relevant recommendations across multiple content sources without increasing user burden.
2Reliability
If manual selection of content sources is required to access media content, then content source control and accessibility are maintained, but user convenience and time efficiency deteriorate
Solution Approach 1:
The system performs preliminary actions by pre-aggregating and pre-processing content from multiple sources, pre-ratings, and pre-organizing recommendations before users need them. The media guidance application proactively presents curated content selections based on user profiles and current preferences, eliminating the need for users to manually search through multiple sources while maintaining source control through systematic aggregation.
3Adaptability or versatility
If comprehensive media content from multiple sources is provided, then content availability and user choice increase, but the difficulty of navigating and selecting relevant content increases
Solution Approach 1:
The media guidance application provides self-service functionality by automatically analyzing user preferences, viewing history, and content metadata to generate personalized recommendations. The system serves itself in curating content selections without requiring users to manually evaluate or compare content from multiple sources, thereby reducing selection difficulty while maintaining comprehensive content availability.
Solution Approach 2:
The system changes parameters by dynamically adjusting recommendation criteria based on user behavior patterns, time of day, device type, and content metadata. This parameter adaptation allows the system to optimize content presentation across different contexts, making relevant content more detectable and selectable while maintaining access to comprehensive content libraries.
Data Source
AI summary
In accordance with some implementations of the disclosed subject matter, mechanisms for presenting recommended media content items are provided. In some implementations, a method for providing media guidance is provided, the method comprising: receiving a query from a user; determining search terms from the received query; determining location information corresponding to the user and popularity information associated with a plurality of media content items and a plurality of content sources; selecting a media content item from the plurality of media content items based at least in part on the popularity information associated with each of the plurality of media content items and the search terms from the received query, wherein the selected media content item is available from the plurality of content sources; selecting at least one content source from the plurality of content sources based at least in part on the location information associated with the user and the popularity information associated with each of the plurality of content sources; and causing a recommendation interface to be presented to the user, wherein the recommendation interface includes the selected media content item that is provided from the at least one selected content source.