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SPGProfile: Speak Group Profile

机译:SPGProfile:说出小组资料

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摘要

In this paper, we propose an XML-based recommender system, called SPGProfile. It is a type of collaborative information filtering system. SPGProfile uses ontology-driven social networks, where nodes represent social groups. A social group is an entity that defines a group based on demographic, ethnic, cultural, religious, age, or other characteristics. In the SPGProfile framework, query results are filtered and ranked based on the preferences of the social groups to which the user belongs. If the user belongs to social group G_x, results will be filtered based on the preferences of G_x and the preferences of each ancestor social group of G_x in the social network. SPGProfile can be used for various practical applications, such as Internet or other businesses that market preference-driven products. In the ontology, the preferences of a social group are identified from either: (1) the preferences of its member users or (2) from published studies about the social group. We describe and experimentally compare these two approaches. We also experimentally evaluate the search effectiveness and efficiency of SPGProfile and compare it to two existing search engines.
机译:在本文中,我们提出了一个基于XML的推荐系统SPGProfile。它是一种协作信息过滤系统。 SPGProfile使用本体驱动的社交网络,其中节点代表社交团体。社会团体是根据人口,族裔,文化,宗教,年龄或其他特征定义团体的实体。在SPGProfile框架中,查询结果将根据用户所属的社会群体的偏好进行过滤和排名。如果用户属于社交组G_x,则将基于G_x的首选项和社交网络中G_x的每个祖先社交组的首选项过滤结果。 SPGProfile可用于各种实际应用,例如Internet或其他销售偏好驱动产品的企业。在本体中,可以从以下两个方面来确定社会群体的偏好:(1)其成员用户的偏好;或者(2)根据有关该社会群体的已发表研究。我们描述和实验比较这两种方法。我们还通过实验评估了SPGProfile的搜索效果和效率,并将其与两个现有搜索引擎进行了比较。

著录项

  • 来源
    《Information Systems》 |2010年第7期|P.774-790|共17页
  • 作者

    Kamal Taha; Ramez Elmasri;

  • 作者单位

    Department of Computer Science and Engineering, University of Texas, 701 S. Nedderman Drive, Arlington, TX 76019, United States;

    rnDepartment of Computer Science and Engineering, University of Texas, 701 S. Nedderman Drive, Arlington, TX 76019, United States;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    information retrieval; information filtering; recommendation system; XML;

    机译:信息检索;信息过滤;推荐系统;XML格式;
  • 入库时间 2022-08-18 02:48:00

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