Mixing it up: recommending collections of items

@inproceedings{Hansen2009MixingIU,
  title={Mixing it up: recommending collections of items},
  author={Derek L. Hansen and Jennifer Golbeck},
  booktitle={CHI},
  year={2009}
}
Recommender systems traditionally recommend individual items. We introduce the idea of collection recommender systems and describe a design space for them including 3 main aspects that contribute to the overall value of a collection: the value of the individual items, co-occurrence interaction effects, and order effects including placement and arrangement of items. We then describe an empirical study examining how people create mix tapes. The study found qualitative and quantitative evidence… CONTINUE READING
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