gOCCF: Graph-Theoretic One-Class Collaborative Filtering Based on Uninteresting Items

We investigate how to address the shortcomings of the popular One-Class Collaborative Filtering (OCCF) methods in handling challenging “sparse” dataset in one-class setting (e.g., clicked or bookmarked), and propose a novel graphtheoretic OCCF approach, named as gOCCF, by exploiting both positive preferences (derived from rated items) as well as negative… CONTINUE READING