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    • 2. 发明申请
    • SYSTEM FOR MANAGING GRAPH QUERIES ON RELATIONSHIPS AMONG ENTITIES USING GRAPH INDEX
    • 使用图表索引管理实体关系的图表查询系统
    • US20140337373A1
    • 2014-11-13
    • US13889155
    • 2013-05-07
    • Magnet Systems, Inc.
    • Magdi MORSIHanju KIM
    • G06F17/30
    • G06F16/245G06F16/2228G06F16/2453G06F16/9024
    • Systems and processes for managing graph queries on navigational relationships of database entities are described. A graph index may be used to store a class of navigational relationships to expand query capabilities and improve query efficiency of a traditional relational database. Entity relationships stored in the graph index may be dynamically defined and made accessible to query writers. In addition, users can specify particular entity attributes to be replicated in the graph index from the corresponding entities stored in the traditional relational database. Query performance may be improved by leveraging the graph index data and querying both the database and the graph index. Queries of the underlying database may be narrowed by first searching the graph index. Queries of the graph index may also be narrowed by first searching the underlying database. Historic query data may be stored and used to improve subsequent query execution plans.
    • 描述了用于管理数据库实体的导航关系的图查询的系统和过程。 图形索引可用于存储一类导航关系,以扩展查询能力并提高传统关系数据库的查询效率。 存储在图表索引中的实体关系可以动态地定义并使查询作者能够访问。 另外,用户可以从存储在传统关系数据库中的对应实体的图索引中指定要复制的特定实体属性。 可以通过利用图形索引数据并查询数据库和图表索引来提高查询性能。 可以通过首先搜索图表索引来缩小底层数据库的查询。 首先搜索底层数据库,图索引的查询也可能被缩小。 可以存储历史查询数据并用于改进后续查询执行计划。
    • 4. 发明申请
    • HUMAN WORKFLOW AWARE RECOMMENDATION ENGINE
    • 人员工作流程建议引擎
    • US20140074545A1
    • 2014-03-13
    • US13844114
    • 2013-03-15
    • Magnet Systems Inc.
    • Kevin A. MINDERRobyn J. CHANHanju KIM
    • G06Q10/06
    • G06Q10/0633G06Q50/01
    • Recommendation systems and processes for generating recommendations within the context of a socially-enabled human workflow system are provided. The processes may include accessing workflow data, such as social graphs, organization graphs, collaboration graphs, content data, utilization data, ratings data, and the like, associated with a user requesting a recommendation. The process may further include determining one or more of a user similarity score, task similarity score, goal similarity score, and content similarity score. The process may further include generating one or more recommendations based at least in part on one or more of the user similarity score, task similarity score, goal similarity score, and content similarity score.
    • 提供了在具有社会功能的人类工作流系统的背景下产生建议的推荐系统和过程。 这些过程可以包括访问与请求推荐的用户相关联的工作流数据,例如社交图,组织图,协作图,内容数据,利用数据,评级数据等。 该过程还可以包括确定用户相似性得分,任务相似度得分,目标相似性得分和内容相似性得分中的一个或多个。 该过程可以进一步包括至少部分地基于用户相似性得分,任务相似性得分,目标相似性得分和内容相似性得分中的一个或多个产生一个或多个推荐。