Beyond Algorithms: An HCI Perspective on Recommender Systems

Beyond Algorithms: An HCI Perspective on Recommender Systems

@jonathan

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Beyond Algorithms: An HCI Perspective on Recommender Systems

@jonathan1 week ago

Beyond Algorithms 1
Swearingen & Sinha
Beyond Algorithms: An HCI Perspective on Recommender Syste…

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Beyond Algorithms 2
Swearingen & Sinha
information displayed with recommendations (see Appendix f…

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Beyond Algorithms 3
Swearingen & Sinha
all the data we gathered in the study: time & behavioral l…

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Beyond Algorithms 4
Swearingen & Sinha
II) Design Suggestions: System Input Elements
II-a) Numbe…

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Beyond Algorithms 5
Swearingen & Sinha
This meant that users were empowered to rate every item pr…

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Swearingen & Sinha
III) Design Suggestions: System Output Elements
III-a) Ac…

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Swearingen & Sinha
was] nice to be surprised….90% of friends' books I'll want…

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Beyond Algorithms 8
Swearingen & Sinha
general MovieCritic performed well in terms of Good and Us…

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Beyond Algorithms 9
Swearingen & Sinha
• “This movie was recommended because Billy Bob Thornton i…

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Swearingen & Sinha
REFERENCES
• Joaquin Delgado. “Agent-Based Information F…

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Swearingen & Sinha
Information about
system’s confidence in
recommendati…

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Beyond Algorithms: An HCI Perspective on Recommender Systems

@jonathan

This article explores the effectiveness of recommender systems by examining user interactions and satisfaction. It highlights key design elements such as transparency, trust, and usability that impact how users experience recommendations for books and movies. By comparing different systems, insights are provided on how design choices influence user preferences and behavior when seeking new items.

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