Most recommender systems usually combine several recommendation methods to enhance the accuracy. Collaborative filtering (CF) is a best-known personalized technique. While temporal association rule-based algorithm can discover users' latent interests with time-specific leveraging historical behavior data without domain knowledge. The concept-drifting and user interest-drifting are two key probl...

A key index of the performance of a rule-based program used in real-time monitoring and control is its response time, deened by the maximum number of rule rings before a xed point of the program is reached from a start state. Previous work in computing the response-time bounds for rule-based programs assumes that if two rules are enabled, then either one of them may be scheduled for ring. This ...

The field of optimization and machine learning are increasingly interplayed and optimization in different problems leads to the use of machine learning approaches‎. ‎Machine learning algorithms work in reasonable computational time for specific classes of problems and have important role in extracting knowledge from large amount of data‎. ‎In this paper‎, ‎a methodology has been employed to opt...

my paper has two parts. first, i talk about the golden rule. after introducing the rule and its global importance, i explain why many scholars dismiss it as a vague proverb that leads to absurdities when we try to formulate it clearly. i defend the golden rule against such objections. second, i talk about the golden rule in persia and islam; i consider persian sources (muslim and non-muslim) an...