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Found 3 papers, 1 papers with code
The MovieLens Beliefs Dataset: Collecting Pre-Choice Data for Online Recommender Systems
An increasingly important aspect of designing recommender systems involves considering how recommendations will influence consumer choices.
The Economics of Recommender Systems: Evidence from a Field Experiment on MovieLens
We conduct a field experiment on a movie-recommendation platform to identify if and how recommendations affect consumption.
Exploring Author Gender in Book Rating and Recommendation
Collaborative filtering algorithms find useful patterns in rating and consumption data and exploit these patterns to guide users to good items.
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