Power coefficient as a similarity measure for memory-based collaborative recommender systems.
Expert Systems with Applications(2014)
摘要
•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.
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关键词
Web personalization,Collaborative recommender system,Similarity measure,Jaccard coefficient,Dice coefficient,Power coefficient
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