Beyond Algorithms: An HCI Perspective on Recommender Systems
Beyond Algorithms: An HCI Perspective on Recommender Systems
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Key Insights
- The study examines user interactions with online book and movie Recommender Systems (RS) from a Human-Computer Interaction (HCI) perspective to isolate design features that contribute to an effective RS.
- The research involved an empirical analysis of user interactions with various online book and movie RS platforms.
- The results showed that users appreciate transparency in the system's logic, recommendations of new items, and detailed information about recommended items, and ways to refine recommendations.
- The study suggests that RS designers should consider enhancing ease of use, providing clear paths to detailed item information, and incorporating community features like user comments to improve the efficacy of the system.
Online recommendation systems often hinge on algorithms, but system effectiveness goes deeper. The goal of such a system is to introduce users to items they'll find interesting and encourage them to try those items. An exploration of user interaction with online book and movie recommendation systems reveals key design elements.
Beyond Algorithms: An HCI Perspective on Recommender Systems
@jonathan3 months ago













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![Beyond Algorithms 7
Swearingen & Sinha
was] nice to be surprised….90% of friends' books I'll want…](https://d2z384uprhdr6y.cloudfront.net/PV5qf34C6rMN3fhXoJMPjx1maNK6cF7r5U_hT8hvALo/rt:fill/q:100/w:1280/h:0/gravity:sm/czM6Ly9qYXVudC1wcm9kdWN0aW9uLXVwbG9hZHMvMjAyNC8xMi8xMC82ZmQ2MjllMC1jMDIyLTQ0ZGQtOTJmZC1mODVlMWI0NjZmOGQvc2xpZGVfNy1sLndlYnA=.webp)
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