首页> 外国专利> SYSTEMS AND METHODS FOR PROVIDING RECOMMENDATIONS BASED ON COLLABORATIVE AND/OR CONTENT-BASED NODAL INTERRELATIONSHIPS

SYSTEMS AND METHODS FOR PROVIDING RECOMMENDATIONS BASED ON COLLABORATIVE AND/OR CONTENT-BASED NODAL INTERRELATIONSHIPS

机译:用于基于协作和/或基于内容的节点关联性提供建议的系统和方法

摘要

In selected embodiments a recommendation generator builds a network of interrelationships between venues, reviewers and users based on attributes and reviewer and user reviews of the venues. Each interrelationship or link may be positive or negative and may accumulate with other links (or anti-links) to provide nodal links the strength of which are based on commonality of attributes among the linked nodes and/or common preferences that one node, such as a reviewer, expresses for other nodes, such as venues. The links may be first order (based on a direct relationship between, for instance, a reviewer and a venue) or higher order (based on, for instance, the fact that two venue are both liked by a given reviewer). The recommendation engine in certain embodiments determines recommended venues based on user attributes and venue preferences by aggregating the link matrices and determining the venues which are most strongly coupled to the user.
机译:在选定的实施例中,推荐生成器基于场所的属性以及评论者和用户评论建立场所,评论者和用户之间的相互关系网络。每个相互关系或链接可以是正的也可以是负的,并且可以与其他链接(或反链接)累加以提供节点链接,其强度基于链接节点之间属性的共性和/或一个节点(例如,评论者为其他节点(例如场所)表示。链接可以是一阶的(基于例如审阅者和场所之间的直接关系)或更高阶的(基于例如两个场所都被给定的审阅者喜欢的事实)。在某些实施例中,推荐引擎通过聚集链接矩阵并确定最牢固地耦合到用户的场所,基于用户属性和场所偏好来确定推荐场所。

著录项

  • 公开/公告号US2017140262A1

    专利类型

  • 公开/公告日2017-05-18

    原文格式PDF

  • 申请/专利权人 NARA LOGICS INC.;

    申请/专利号US201715419517

  • 申请日2017-01-30

  • 分类号G06N3/04;G06F17/30;G06N3/08;

  • 国家 US

  • 入库时间 2022-08-21 13:51:18

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