ITEM-BASED RECOMMENDATION ENGINE FOR RECOMMENDING A HIGHLY-ASSOCIATED ITEM
    4.
    发明申请
    ITEM-BASED RECOMMENDATION ENGINE FOR RECOMMENDING A HIGHLY-ASSOCIATED ITEM 审中-公开
    基于项目的推荐机构推荐一个高度关联的项目

    公开(公告)号:US20140365456A1

    公开(公告)日:2014-12-11

    申请号:US14241193

    申请日:2012-08-27

    申请人: Min Jae Lee

    发明人: Min Jae Lee

    IPC分类号: G06F17/30

    摘要: Disclosed relates to a recommendation engine. The recommendation engine includes a query generation module configured to store a plurality of item vectors as a plurality of documents, configured to search for a reference document associated with the reference item among the plurality of the documents to extract a reference item vector and configured to generate a query including at least one user best associated with the extracted reference item vector if successful, each of the plurality of the item vectors corresponding to an element including a user-preference pair and a search module configured to calculate a correlation between the extracted reference item vector and each of the plurality of the item vectors in the plurality of the documents based on the generated query to provide the at least one recommendation item.

    摘要翻译: 公开涉及推荐引擎。 所述推荐引擎包括查询生成模块,被配置为将多个项目向量存储为多个文档,被配置为搜索与所述多个文档中的所述参考项目相关联的参考文档,以提取参考项向量并且被配置为生成 如果成功,则包括与所提取的参考项向量最相关联的至少一个用户的查询,所述多个项目向量中的每一个对应于包括用户偏好对的元素和被配置为计算所提取的参考项目之间的相关性的搜索模块 基于所生成的查询,在所述多个文档中的所述多个项目向量中的每一个,以提供所述至少一个推荐项。