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    • 10. 发明申请
    • RANKING SEARCH RESULTS USING WEIGHTED TOPOLOGIES
    • 使用加权拓扑来排列搜索结果
    • US20130159291A1
    • 2013-06-20
    • US13325081
    • 2011-12-14
    • Samuel IeongNina MishraOr Sheffet
    • Samuel IeongNina MishraOr Sheffet
    • G06F17/30
    • G06Q30/02G06F16/951
    • Identifiers of items generated in response to a query are each ranked in a way that considers the other identified items. Topologies are generated that correspond to features of the identified items. Each topology may be a Markov chain that includes a node for each identified item and directed edges between the nodes. Each directed edge between a node pair has an associated transition probability that represents the likelihood that a hypothetical user would change their preference from a first node in the pair to the second node in the pair when considering the feature associated with the topology. The topologies are weighted according to the relative importance of the features that correspond to the topologies. The weighted topologies are used to generate a stationary distribution of the identified items, and the identified items are ranked using the stationary distribution.
    • 响应于查询生成的项目的标识符都以考虑其他已识别项目的方式进行排名。 生成与所识别项目的特征对应的拓扑。 每个拓扑可以是马尔可夫链,其包括用于每个识别的项目的节点和节点之间的有向边。 节点对之间的每个有向边具有相关联的转移概率,其表示当考虑与拓扑相关联的特征时,假设用户将其优选从该对中的第一节点改变成对中的第二节点的可能性。 根据与拓扑对应的特征的相对重要性,对拓扑进行加权。 加权拓扑用于产生所识别的项目的固定分布,并且使用固定分布对所识别的项目进行排名。