• Corpus ID: 60289378

Towards Recommender Engineering: tools and experiments for identifying recommender differences

@inproceedings{Ekstrand2014TowardsRE,
  title={Towards Recommender Engineering: tools and experiments for identifying recommender differences},
  author={Michael D. Ekstrand},
  year={2014}
}
Since the introduction of their modern form 20 years ago, recommender systems have proven a valuable tool for help users manage information overload. Two decades of research have produced many algorithms for computing recommendations, mechanisms for evaluating their effectiveness, and user interfaces and experiences to embody them. It has also been found that the outputs of different recommendation algorithms differ in user-perceptible ways that affect their suitability to different tasks and… 
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