5 citations · 5 across the 2 of their papers we have counts for
2 papers
cs.IR2014★ 5 cited
Augmenting recommendation systems using a model of semantically-related terms extracted from user behavior
Khalifeh AlJadda, Mohammed Korayem, Camilo Ortiz +5
Common difficulties like the cold-start problem and a lack of sufficient information about users due to their limited interactions have been major challenges for most recommender s…
cs.AI2014
PGMHD: A Scalable Probabilistic Graphical Model for Massive Hierarchical Data Problems
Khalifeh AlJadda, Mohammed Korayem, Camilo Ortiz +3
In the big data era, scalability has become a crucial requirement for any useful computational model. Probabilistic graphical models are very useful for mining and discovering data…