Targeted Gaming News Feed Personalization via Interaction Analysis
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Solution Overview
Problem
Users of gaming news and content face frustration due to the abundance of irrelevant information, which detracts from their experience and may dis-incentivize gameplay as they spend time navigating through non-relevant content.
Innovation Solution
A system and method that analyze user interactions with gaming content to identify characterizing keywords, filter media from a database based on these keywords, and display targeted content feeds on user devices, updating the content in real-time as user interactions evolve.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If gaming news and content are made universally available to all users, then the quantity of information increases, but the relevance to individual users decreases
Solution Approach 1:
The system customizes the information feed for each user based on their gaming profile, preferences, and interaction history. Instead of providing uniform content to all users, the system tailors the news and content to match individual user characteristics, ensuring high relevance while maintaining access to a large overall content library.
Solution Approach 2:
The system dynamically adjusts content delivery parameters based on user behavior patterns, gaming preferences, and engagement metrics. By changing parameters such as content type, frequency, and topic focus according to individual user profiles, the system maintains high relevance across a diverse and extensive content collection.
2Loss of information
If users manually navigate through all available gaming news and content, then complete information access is achieved, but time consumption increases
Solution Approach 1:
The system pre-processes and organizes gaming news and content based on user profiles before presentation. By anticipating user interests and pre-sorting content according to individual preferences, the system eliminates the need for manual navigation while ensuring users receive comprehensive relevant information in their personalized feed.
Solution Approach 2:
The system continuously monitors user interactions with presented content and uses this feedback to refine future content delivery. By analyzing engagement patterns, click behavior, and time spent on different content types, the system learns user preferences over time and automatically adjusts the feed to maintain completeness while minimizing navigation requirements.
3Adaptability or versatility
If irrelevant gaming news is included in the feed, then content diversity increases, but user frustration increases
Solution Approach 1:
The system ensures content diversity within the context of individual user interests rather than providing generic diversity. By curating a varied mix of content types, topics, and formats that are all relevant to each user's specific gaming preferences, the system maintains adaptability and versatility while eliminating irrelevant content that would cause frustration.
Data Source
AI summary
A system and method for targeted gaming news and media feeds is provided. Information about an interaction by a user with an interactive content title and a plurality of interactive content titles may be stored in memory. A processor executes instructions stored in memory, wherein execution of the instructions by the processor analyzes the information stored in memory regarding interaction by a user with an interactive content title and identifies one or more keywords that characterize the user interaction with the interactive content title. Media stored in a database may be filtered based on the identified keywords and displayed within a targeted media feed on a user device of the user. The displayed targeted media may be updated based on new information regarding user interaction with the interactive content title.