首页> 外国专利> TECHNIQUES FOR APPROXIMATE NEIGHBOR SELECTION IN TREE MODELS FOR COMPUTING CO-OCCURRENCE

TECHNIQUES FOR APPROXIMATE NEIGHBOR SELECTION IN TREE MODELS FOR COMPUTING CO-OCCURRENCE

机译:用于计算共同发生的树模型中近似邻居选择的技术

摘要

Certain example embodiments relate to techniques for building a contextual recommendation engine. Flow representations indicating how services are to interact with one another are received. Each service represents a program logic segment. Flow representations are parsed to identify invocation and conditional processing operations therein. These identified operations are arranged in a predefined format including sequences. Each sequence corresponds to a respective flow representation and includes any identified operations in an order matching their occurrences in the respective flow representation. For each identified conditional processing operation, each identified invocation operation associated with a branch thereof is merged into a single path for inclusion in the respective sequence in place of the respective identified conditional processing operation. Each sequence is converted into a listing of atomic units. A co-occurrence model based on the listing is developed and stored to a model store so that it can be queried as integrations are built.
机译:某些示例实施例涉及用于构建上下文推荐引擎的技术。流程表示,指示服务如何彼此交互。每个服务代表程序逻辑段。解析流量表示以在其中识别调用和条件处理操作。这些识别的操作以包括序列的预定格式排列。每个序列对应于相应的流量表示,并且包括以各个流表示中的出现匹配的顺序中的任何所识别的操作。对于每个识别的条件处理操作,与其分支相关联的每个识别的调用操作被合并到单个路径中,以便在相应的序列中代替各个识别的条件处理操作。每个序列被转换为原子单位的列表。基于列表的共同发生模型被开发并将其存储到模型存储中,以便可以将其查询为集成。

著录项

  • 公开/公告号US2021132921A1

    专利类型

  • 公开/公告日2021-05-06

    原文格式PDF

  • 申请/专利权人 SOFTWARE AG;

    申请/专利号US201916675523

  • 发明设计人 RAMU RAMAIAH;

    申请日2019-11-06

  • 分类号G06F8/41;G06F8/30;G06F8/34;G06F8/35;G06F8/33;

  • 国家 US

  • 入库时间 2022-08-24 18:34:48

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