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基于用户兴趣的多属性效用算法的研究
引用本文:勾智楠. 基于用户兴趣的多属性效用算法的研究[J]. 河北工业科技, 2012, 29(2): 82-85,97
作者姓名:勾智楠
作者单位:石家庄财经职业学院计算机系,河北石家庄,050061
摘    要:针对用户兴趣提供个性化的搜索服务一直是搜索引擎系统追求的目标。提出了基于用户兴趣的多属性效用算法,该算法使用效用性算法并结合了实体多个属性偏好因子和遗忘因子,更好地表达用户的兴趣偏好并实现动态更新,提高检索的准确性,实现搜索过程的个性化服务。

关 键 词:兴趣度  多属性效用算法  遗忘因子  兴趣偏好
收稿时间:2011-11-28
修稿时间:2011-12-20

Research on user-interest-based multi-attribute utility algorithm
GOU Zhi-nan. Research on user-interest-based multi-attribute utility algorithm[J]. Hebei Journal of Industrial Science & Technology, 2012, 29(2): 82-85,97
Authors:GOU Zhi-nan
Affiliation:GOU Zhi-nan(Department of Computer,Shijiazhuang Financial Professional College,Shijiazhuang Hebei 050061,China)
Abstract:It is always the aim of the search engine system to offer personal service for different users according to their own interests.This article designs a multi-attribute utility algorithm based on users’ interests.It combines preference factors with forgetting factors from a multi-attribute entity.It achieves dynamic updating exactly to express users’ preference better and to enhance the accuracy of researching,so as to supply a personal searching service.
Keywords:interest value  multi-attribute utility algorithm  forgetting factor  interest preferences
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