Game-Based Content Recommendation System for Social Awareness
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Solution Overview
Problem
Social bookmarking systems often fail to provide users with awareness of relevant content, especially when users with shared interests are not within their social network or when automated systems cannot detect common interests, leading to missed recommendations and lack of awareness of content.
Innovation Solution
An online game-based method and system that retrieves contacts for a player, lists content associated with them, and prompts the player to identify the source of selected content, awarding points for correct identification and recommending content to the incorrect source, thereby incentivizing users to actively identify relevant content sources.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Extent of automation
If automated social bookmarking systems are used to provide content recommendations, then content sharing can occur automatically, but users with shared interests outside the social network or with unstated interests are omitted from recommendations
Solution Approach 1:
The system uses gameplay actions performed by users to automatically generate content recommendations for their contacts. By having users actively play the game and make selections, the system leverages their personal knowledge and interests without requiring explicit configuration or manual setup, thereby improving recommendation accuracy while maintaining automation.
Solution Approach 2:
The game provides immediate feedback to players through points accumulation and score tracking. This feedback mechanism motivates users to make accurate identifications of content sources, which in turn refines the recommendation system's understanding of user interests and improves overall recommendation reliability.
2Reliability
If users manually recommend content to friends, then personal knowledge of interests can be applied, but the process is tedious and requires proactive involvement without incentive
Solution Approach 1:
The system automatically performs the manual recommendation task by using gameplay data to generate and send content recommendations to contacts. Users simply need to play the game and make selections during gameplay, and the system handles the tedious manual processes of identifying interests, selecting contacts, and delivering recommendations automatically.
Solution Approach 2:
The game awards points and provides feedback to users for accurate identifications, transforming a tedious manual process into an incentivized activity. This feedback mechanism motivates users to engage with the system actively while the system automatically handles the recommendation distribution.
3Adaptability or versatility
If social bookmarking systems are used, then content can be shared within social networks, but users outside the network or with unstated interests cannot receive relevant content
Solution Approach 1:
The system serves multiple functions: it provides content recommendations within existing social networks through gameplay interactions, and simultaneously extends content discovery to contacts outside the network by using the game's contact list functionality. This multi-functionality allows the system to maintain social network benefits while expanding reach to users who would otherwise miss relevant content.
Data Source
AI summary
A content recommendation method can include retrieving contacts for a player of a content recommendation game and listing content associated with the retrieved contacts and prompting the player in response to a selection of a particular one of the listed content to identify a specific one of the retrieved contacts as a source associated with the particular one of the listed content. The particular one of the listed content can be recommended to the identified specific one of the retrieved contacts when the player has incorrectly identified the specific one of the retrieved contacts as a source associated with the particular one of the listed content. Otherwise, the player can be awarded points in the game to a game score for the player for having correctly identified the specific one of the retrieved contacts as a source associated with the particular one of the listed content.