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    • 1. 发明申请
    • Apparatus and Method for Content Recommendation
    • 内容推荐的装置和方法
    • US20090222430A1
    • 2009-09-03
    • US12039376
    • 2008-02-28
    • Paola M. HobsonSergey N. Baranov
    • Paola M. HobsonSergey N. Baranov
    • G06F7/00
    • G06F16/437
    • A content recommender executes a method wherein a set of attributes are provided for a plurality of content items. A number of recommendation parameters are defined as a function of attribute values for a subset of attributes and for each content item, recommendation values are determined based on the definitions. A multi-dimensional clustering is applied to the recommendation values for the content items to generate a plurality of content clusters. Each dimension of the clustering corresponds to a recommendation parameter. The content recommender then selects a set of content clusters from the content clusters and a recommendation set of content items is generated by selecting at least one content item from each selected content cluster. The invention may allow improved recommendations to be generated and may in particular allow recommendations to be generated which reflect a number of different and possibly conflicting considerations.
    • 内容推荐器执行其中为多个内容项提供一组属性的方法。 许多推荐参数被定义为属性子集的属性值的函数,并且对于每个内容项,基于定义来确定推荐值。 将多维聚类应用于内容项目的推荐值以生成多个内容集群。 聚类的每个维度对应于推荐参数。 然后,内容推荐器从内容集群中选择一组内容集群,并且通过从每个所选内容集群中选择至少一个内容项目来生成内容项目的推荐集合。 本发明可以允许产生改进的建议,并且可以特别地允许产生反映许多不同且可能冲突的考虑的建议。