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推荐技术的比较研究 被引量:1

Comparative Study of the Recommended Techniques
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摘要 随着Web技术的发展,信息的极度爆炸推动了智能化推荐技术的发展。本文介绍了几种常见的推荐技术,分析了它们各自的优缺点,并举例分析了目前广泛使用的几种推荐技术的适用性。 With the development of Web technology,the information explosion of extremely intelligent recommendations technology to promote development.This article describes several common recommendation techniques,analyzes their advantages and disadvantages,and examples of analysis of the current widespread use of several recommended technical applicability.
作者 吴振慧
出处 《计算机光盘软件与应用》 2011年第19期44-45,共2页 Computer CD Software and Application
关键词 推荐技术 比较 适用性 Recommended technology Comparison Applicability
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同被引文献17

  • 1杨博,赵鹏飞.推荐算法综述[J].山西大学学报(自然科学版),2011,34(3):337-350. 被引量:86
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  • 7HAN Hui,WANG Jianxin,SUN Qiao,et al.Data warehouse and data mining[M].Beijing: Tsinghua University Press,2009.
  • 8SPERTUS E,SAHAMI M, buyukkokten O.E- valuating similarity measures: a large-scale study in the Orkut social network[C].Proceedings of the Eleventh ACM SIGKDD International Conference on Knowledge Discovery in Data Mining,2005:678-684.
  • 9GEYER W,DUGAN C,MILLEN D R,et al.Recom- mending topics for self-descriptions in online user pro-files[C].Proceedings of the 2008 ACM Conference on Recommender Systems,2008:59-66.
  • 10WU Zhenhui.Comparative study of the recommendedt-echniques [J].Computer CD Software and Applications,2011(19):44-45.

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