Beyond rating prediction accuracy: on new perspectives in recommender systems

@inproceedings{Adamopoulos2013BeyondRP,
  title={Beyond rating prediction accuracy: on new perspectives in recommender systems},
  author={P. Adamopoulos},
  booktitle={RecSys '13},
  year={2013}
}
  • P. Adamopoulos
  • Published in RecSys '13 2013
  • Computer Science
  • This paper proposes a number of studies in order to move recommender systems beyond the traditional paradigm and the classical perspective of rating prediction accuracy. We contribute to existing helpful but less explored paradigms and also propose new approaches aiming at more useful recommendations for both users and businesses. Working toward this direction, we discuss the studies we have conducted so far and present our future research plans. In particular, we move our focus from even more… CONTINUE READING

    Topics from this paper.

    On Unexpectedness in Recommender Systems: Or How to Better Expect the Unexpected
    • 143
    • PDF
    What recommenders recommend: an analysis of recommendation biases and possible countermeasures
    • 78
    • Highly Influenced
    • PDF
    Moving beyond linearity and independence in top-N recommender systems
    • 5
    • PDF
    Cross-domain item recommendation based on user similarity
    • 13
    • PDF
    Novel Perspectives in Collaborative Filtering Recommender Systems
    Novel Perspectives in Collaborative Filtering Recommender Systems
    Probabilistic Neighborhood Selection in Collaborative Filtering Systems
    • 10
    • PDF

    References

    Publications referenced by this paper.
    Looking for "Good" Recommendations: A Comparative Evaluation of Recommender Systems
    • 67
    • Highly Influential
    • PDF