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Found 4 papers, 0 papers with code
Estimating Position Bias without Intrusive Interventions
Presentation bias is one of the key challenges when learning from implicit feedback in search engines, as it confounds the relevance signal.
Improving Recommender Systems Beyond the Algorithm
To this effect, we explore how changes to the user interface can impact the quality and quantity of feedback data -- and therefore the learning accuracy.
A preference elicitation interface for collecting dense recommender datasets with rich user information
We present an interface that can be leveraged to quickly and effortlessly elicit people's preferences for visual stimuli, such as photographs, visual art and screensavers, along with rich side-information about its users.
Ranking with social cues: Integrating online review scores and popularity information
The only information presented to participants was the average score and the number of reviews, which served as a proxy for popularity.
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