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A novel approach for improving recommender system

机译：一种改进推荐系统的新颖方法

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摘要

Recommender systems these days tend to achieve status and importance. The algorithms and approaches present in a recommender system define the importance and worth of the recommender systems. Till now, the research which have been done has concentrated on generating the new approaches and algorithms so that by implementing them some good recommendations can be provided to the users. In this research paper we propose that a recommender system can be developed efficiently so that it can work beyond the conventional accuracy conditions and this can be done by comparative study of any two algorithms and generating a new algorithm based on the results of both algorithms which would give some more accurate results. Experimental results specifies that the people with different views mostly tends to favor different types of algorithms. There are few criteria for evaluating the recommender systems which can be helpful in judging the performance.
机译：如今，推荐系统趋于达到地位和重要性。推荐系统中存在的算法和方法定义了推荐系统的重要性和价值。到目前为止，已经进行的研究集中在生成新的方法和算法上，因此通过实施它们，可以为用户提供一些好的建议。在这篇研究论文中，我们建议可以高效地开发推荐系统，使其可以在常规精度条件之外工作，并且可以通过对任意两种算法进行比较研究并根据两种算法的结果生成一个新算法来完成。给出一些更准确的结果。实验结果表明，持不同观点的人大多倾向于使用不同类型的算法。评估推荐系统的标准很少，可以帮助评估性能。

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