Improving Item Ranking by Leveraging Dual Roles Influence
Improving Item Ranking by Leveraging Dual Roles Influence is a scholarly work, published in 2018 in ''IEEE Access''. The main subjects of the publication include artificial intelligence, intelligent tutoring system, ranking function, recommender system, dual, and computer science. The authors find that a user's selection of an item is influenced not only by her trustees but also by her trusters.