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一种个性化标签云中的标签排序算法
引用本文:夏秀峰,张姝,李晓明. 一种个性化标签云中的标签排序算法[J]. 沈阳航空工业学院学报, 2011, 28(1): 46-50. DOI: 10.3969/j.issn.2095-1248.2011.01.010
作者姓名:夏秀峰  张姝  李晓明
作者单位:沈阳航空航天大学,计算机学院,辽宁,沈阳,110136
摘    要:社会化标签能够直接反映用户兴趣和商品特征,因而可用于个性化推荐系统中。使用标签进行推荐时,需要将其排序,而现有标签云中的标签排序都是按标签被标记次数或字典顺序进行降序排列的,这些排列方式未考虑用户个性化的需求和标签的时效性。提出了一种个性化标签云中的标签排序算法,通过用户自身的兴趣与挖掘出的用户潜在兴趣进行标签排序,从而构建个性化的标签云,并根据用户兴趣的变化定期对标签云进行更新,可以更好地发现电子商务网站中用户感兴趣的商品。实验对比结果表明,个性化标签云中的标签排序算法能够有效的提高商品推荐质量。

关 键 词:电子商务  个性化推荐  社会化标签  标签云  标签排序

A Tag Sorting Algorithm in Personalized Tag Cloud
XIA Xiu-feng,ZHANG Shu,LI Xiao-ming. A Tag Sorting Algorithm in Personalized Tag Cloud[J]. Journal of Shenyang Institute of Aeronautical Engineering, 2011, 28(1): 46-50. DOI: 10.3969/j.issn.2095-1248.2011.01.010
Authors:XIA Xiu-feng  ZHANG Shu  LI Xiao-ming
Affiliation:XIA Xiu-feng,ZHANG Shu,LI Xiao-ming (School of Computer Science,Shenyang Aerospace University,Liaoning Shenyang 110136)
Abstract:Since a social tag reflects users' interest and product characteristics directly, it can be used for personalized recommendation system. Before recommendation the social tag allows sorting either in descending order of taggings or in lexigraphical order. These sorting methods takes into no account users' personalized demand and tags's time-sensitivity. This paper puts forward a tag sorting algorithm in personalized tag cloud, based on the users' present and predicted interests to sort tags and construct a personalized tag cloud. The tag cloud will be updated on a real-time basis according to users' interests changing, thus facili- tating discovery of goods users are interested in on e-commerce websites. The experiment result shows that tag sorting algorithm in personalized tag cloud can improve the recommendation quality effectively
Keywords:E-commerce  personalized recommendation  social tag  tag cloud  tag sorting  
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