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Filtering recommendation system is always key and hot point in electronic commerce research; to obtain recommendation result with high accuracy, performance, universality and strong adaptation, improve recommended efficiency and veracity of collaborative filtering recommendation system and provide more personalized recommendation service for users, a kind of collaborative filtering recommendation...
To overcome the defect of slow convergence speed, precocity and stagnation in the classical ACO algorithm,the authors propose an Improved Ant System Algorithm Based on PPL to solve TSP according to pheromone updating features of Ant System algorithm, combined with PPL (Parallel Pattern Library) parallel programming idea. The new algorithm combines three different pheromone update methods to make a...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.