Preference Relation Based Matrix Factorization for Recommender Systems

@inproceedings{Desarkar2012PreferenceRB,
  title={Preference Relation Based Matrix Factorization for Recommender Systems},
  author={Maunendra Sankar Desarkar and Roopam Saxena and Sudeshna Sarkar},
  booktitle={UMAP},
  year={2012}
}
Users in recommender systems often express their opinions about different items by rating the items on a fixed rating scale. The rating information provided by the users is used by the recommender systems to generate personalized recommendations for them. Few recent research work on rating based recommender systems advocate the use of preference relations instead of absolute ratings in order to produce better recommendations. Use of preference relations for neighborhood based collaborative… CONTINUE READING
Highly Cited
This paper has 20 citations. REVIEW CITATIONS

Citations

Publications citing this paper.

References

Publications referenced by this paper.

Similar Papers

Loading similar papers…