An empirical study on the effect of data sparsity and data overlap on cross domain collaborative filtering performance

Authors

Keywords

Cross-domain recommender, Collaborative filtering, E-commerce application, Data sparsity

Journal

Volume 89, Issue -, Pages 254-265

Publisher

Elsevier BV

Online

2017-07-26

DOI

10.1016/j.eswa.2017.07.041

Contact the author

Explore over 38,000 international journals covering a vast array of academic fields.

Do you already have a recorded webinar? Grow your audience and get more views by easily listing your recording on Peeref.

Upload Now