Power coefficient as a similarity measure for memory-based collaborative recommender systems
Power coefficient is a more general coefficient for asymmetric binary variables. Simple asymmetric coefficients (only positive matches) are not suitable for CRS. Our approaches assume two asymmetric binary variables for the user profile. Power-based CRSs elect better sets of like-minded users thus outperform other CRSs. Priority-based prediction keeps the predicted rating within the system scale range.
power coefficient similarity measure collaborative recommender system web personalization jaccard coefficient dice coefficient