Modeling Temporal Bias of Uplift Events in Recommender Systems

Modeling Temporal Bias of Uplift Events in Recommender Systems

Today, commercial industry spends huge amount of resources in advertisement campaigns, new marketing strategies, and promotional deals to introduce their product to public and attract a large number of customers. These massive investments by a company are worthwhile because marketing tactics greatly...

Full description

Bibliographic Details
Main Author: Altaf, Basmah
Other Authors: Zhang, Xiangliang
Language:en
Published: 2013
Subjects:
uplift events
bias modeling
recommendation systems
netflix
movie lens
Online Access:Altaf, B. (2013). Modeling Temporal Bias of Uplift Events in Recommender Systems. KAUST Research Repository. https://doi.org/10.25781/KAUST-874ST
http://hdl.handle.net/10754/292299

Internet

Altaf, B. (2013). Modeling Temporal Bias of Uplift Events in Recommender Systems. KAUST Research Repository. https://doi.org/10.25781/KAUST-874ST
http://hdl.handle.net/10754/292299

Similar Items