Active Learning for Recommender Systems with Multiple Localized Models

@inproceedings{Deodhar2009ActiveLF,
  title={Active Learning for Recommender Systems with Multiple Localized Models},
  author={Meghana Deodhar and Joydeep Ghosh and Maytal Saar-Tsechansky},
  year={2009}
}
For effective predictive modeling in large scale recommender systems, it is essential to have many customers rate a large number of products, i.e., obtain a large number of labeled data. However, most consumers often do not provide their preferences without proper incentives. Given a budget to reward consumers for their feedback, it would be beneficial to have a policy to suggest the ratings of which customers and for what products would be most cost-effective to acquire, so as to improve… CONTINUE READING

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