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Nowadays, with the exponentially growth of information, more and more recommendation systems are used for commercial purpose. Among all kinds of recommendation systems, Collaborative Filtering-based Recommender is the most popular one. It is used in a wide range of music recommendation systems and its accuracy is pretty high. However, it is hard for this kind of recommender to find novel things. In...
Online marketing exploits social influence to trigger chain-like cascades. However, recent practices actively employ agents to collaboratively inflate the spreading of influences. Through supporting structures, they help each other with false feedback and signals to attract other users in the spreading process and thus alter the spontaneous social dynamics. In this paper, we proposed a modeling framework...
Collaborative filtering is a very important technology in e-commerce. Unfortunately, with the increase of users and commodities, the user rating data is extremely sparse, which leads to the low efficient collaborative filtering recommendation system. To address these issues, an optimized collaborative filtering recommendation algorithm based on item is proposed. While calculating the similarity of...
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.