Comparing Recommendations Made by Online Systems and Friends

Comparing Recommendations Made by Online Systems and Friends

@jonathan

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1 week ago 87

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Comparing Recommendations Made by Online Systems and Friends

@jonathan1 week ago

Comparing Recommendations Made by Online Systems and Friends
Rashmi Sinha and Kirsten Swearingen
…

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(Amazon's Recommendation Wizard, Sleeper and RatingZone's Quick Picks) and three movie RS (Amazon's…

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Number of items in initial set: The first metric by which we compared the RS was the number of item…

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favorites in post-test interviews.
Interface Factors: Users were
asked to indicate whether the …

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RS—again (the arrows on the friend bars indicate the RS averages). (Friends=85.44, RS=45.99, t=5.17…

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3. Provide enough information about the recommended item for user to make a decision. Make this
i…

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Comparing Recommendations Made by Online Systems and Friends

@jonathan

This presentation compares recommendations from online systems and friends, focusing on the quality of suggestions for books and movies. Results showed that friends consistently provided better recommendations, while online systems were appreciated for suggesting new and unexpected items. Users preferred interfaces that allowed for more input and offered detailed information, shedding light on usability and trust in recommender systems.

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