Workshop on Surprise , Opposition , and Obstruction in Adaptive and Personalized Systems ( SOAP )

@inproceedings{Knees2016WorkshopOS,
  title={Workshop on Surprise , Opposition , and Obstruction in Adaptive and Personalized Systems ( SOAP )},
  author={Peter Knees},
  year={2016}
}
The phenomenon often referred to as the “filter-bubble,” i.e., the effect that collaborative, as well as content-based recommender systems keep making obvious, predictable, redundant, uninspiring, and therefore disengaging suggestions based on previous interactions, has emphasized the value of system qualities beyond pure accuracy, e.g., diversity, novelty, serendipity, or unexpectedness, to keep the user satisfied, e.g., [1, 2, 4]. Apart from the obvious use case in commercial systems (where… CONTINUE READING