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Research On Application Of Ant Clustering Algorithm In Collaborative Filtering Recommending System

机译:蚂蚁聚类算法在协同过滤推荐系统中的应用研究

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摘要

The paper researches the clustering technique of the similar interest user recommending system on CF basis, it concentrates on the flexibility of clustering method, the complex shape of clustering and the usefulness of the data, it makes an analysis of the characteristic of the ant algorithm and a collaborative recommending systeni based on ant clustering algorithm, and through the experiment analysis, it tries to prove the ant clustering can reduce calculation in recommending system, so as to improve the flexibility of the system.
机译:本文研究了基于CF的相似兴趣用户推荐系统的聚类技术,重点研究了聚类方法的灵活性,聚类的复杂形状和数据的实用性,分析了ant算法和基于蚁群算法的协同推荐系统,并通过实验分析,试图证明蚁群可以减少推荐系统中的计算,从而提高系统的灵活性。

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