Expected time to collect a print job
    31.
    发明授权
    Expected time to collect a print job 有权
    预计收集打印作业的时间

    公开(公告)号:US08149441B2

    公开(公告)日:2012-04-03

    申请号:US12100810

    申请日:2008-04-10

    CPC classification number: G06Q10/10

    Abstract: A time-to-collect measure is disclosed which may be used in generating a model for predicting an expected time-to-collect for print jobs. In the case of incomplete data, an algorithm recovers an optimal assignment of links between submission and collection events which allows a time to collect to be computed for one or more prior print jobs. A printing system may incorporate a time-to-collect system for making decisions based on the measure, such as the scheduling of pending print jobs or planning placement of printers.

    Abstract translation: 公开了一种时间收集措施,其可用于生成用于预测打印作业的期望的收集时间的模型。 在不完整的数据的情况下,算法恢复提交和收集事件之间的链接的最佳分配,这允许为一个或多个现有打印作业计算时间。 打印系统可以包括用于基于所述措施作出决定的时间收集系统,诸如待定打印作业的调度或打印机的计划放置。

    SYSTEM AND METHOD FOR GUIDING ENTITY-BASED SEARCHING
    33.
    发明申请
    SYSTEM AND METHOD FOR GUIDING ENTITY-BASED SEARCHING 有权
    用于引导基于实体的搜索的系统和方法

    公开(公告)号:US20110225155A1

    公开(公告)日:2011-09-15

    申请号:US12720900

    申请日:2010-03-10

    CPC classification number: G06F17/3071 G06F17/30598 G06F17/30646

    Abstract: A system and method are provided for refining a user's query. An entity index, generated from a corpus of text documents, is provided. The entity index includes a set of entity structures, each including a plurality of terms. Each of the terms of an entity structure is a feature of the same entity. Entity structures can be retrieved from the entity index which match at least a portion of the user's query. Clusters of the retrieved entity structures are identified which have at least one of their terms in common. A cluster hierarchy is generated from the identified clusters in which nodes of the hierarchy are defined by one or more of the terms of the retrieved entity structures. At least a portion of the cluster hierarchy is presented to the user for facilitating refinement of the user's query through user selection of a node which, when formulated as a search, retrieves one or more responsive documents from the corpus of documents.

    Abstract translation: 提供了一种用于细化用户查询的系统和方法。 提供从文本文档语料库生成的实体索引。 实体索引包括一组实体结构,每个实体结构包括多个项。 实体结构的每个术语都是同一实体的特征。 可以从与用户查询的至少一部分匹配的实体索引中检索实体结构。 识别检索到的实体结构的集群,其具有至少一个共同的术语。 从所识别的集群生成集群层次结构,其中层次结构的节点由检索到的实体结构的一个或多个项定义。 将集群层次结构的至少一部分呈现给用户,以通过用户选择节点来促进对用户查询的细化,当被配置为搜索时,从文档语料库检索一个或多个响应文档。

    Recommender system and method
    34.
    发明授权
    Recommender system and method 有权
    推荐系统和方法

    公开(公告)号:US07440943B2

    公开(公告)日:2008-10-21

    申请号:US09746917

    申请日:2000-12-22

    CPC classification number: G06F17/30011 Y10S707/99936

    Abstract: A system for providing item recommendations includes a memory, a device, responsive to a user request, for recording an item on a hardcopy medium, and a processor, for storing ratings of items and for generating recommendations for new items based on recommendation criteria. In response to the user request, the processor stores an implicit rating for the requested item in the memory, determines whether, based on the implicit rating and the recommendation criteria, to generate an item recommendation, and if the criteria for generating a recommendation is met, generates a recommendation of a new item. The recommender system may further store a representation of the recorded item in the memory. Recommendations may be based on item to item similarities, item to user similarities or user to user similarities.

    Abstract translation: 用于提供项目建议的系统包括存储器,响应于用户请求的设备,用于在硬拷贝介质上记录项目,以及处理器,用于存储项目的等级并且基于推荐标准来生成针对新项目的建议。 响应于用户请求,处理器将所请求的项目存储在存储器中的隐含评级,基于隐含评级和推荐标准确定是否产生项目推荐,以及是否满足生成推荐的标准 ,产生一个新项目的建议。 推荐系统还可以将记录的物品的表示存储在存储器中。 建议可能是基于项目与项目的相似点,用户与用户的相似之处或用户与用户的相似之处。

    Method and system for expertise mapping based on user activity in recommender systems
    35.
    发明授权
    Method and system for expertise mapping based on user activity in recommender systems 失效
    基于推荐系统中用户活动的专业知识绘制方法和系统

    公开(公告)号:US07240055B2

    公开(公告)日:2007-07-03

    申请号:US10733584

    申请日:2003-12-11

    CPC classification number: G06F17/30867 Y10S707/99935

    Abstract: The system and method analyzes activities of users in a recommender system to identify experts. Two types of experts may be identified: authoritative experts and hub experts. An authoritative expert is a user who creates items or documents in a given field that are acted upon by a large number of users within a community who are well connected in the given field. A hub expert is a user who is aware of important items or documents within a given field and uses, works or acts upon items or documents produced by authoritative experts. The system and method also identifies authoritative items (e.g., documents). An authoritative item or document is one which has been acted upon by a large number of users within a community who are well connected in the given field (i.e., hub experts).

    Abstract translation: 系统和方法分析用户在推荐系统中的活动,以识别专家。 可以确定两类专家:权威专家和中心专家。 权威专家是在给定领域创建项目或文档的用户,该项目或文档由在特定领域中良好连接的社区中的大量用户采取行动。 中心专家是知道某一领域中重要项目或文件的用户,并对权威专家制作的项目或文件进行使用,作品或行为。 该系统和方法还识别权威项目(例如,文档)。 一个权威的项目或文件是被一个社区内大量用户在特定领域(即中心专家)中连接良好的用户所执行的。

    Method and system for expertise mapping based on user activity in recommender systems
    36.
    发明申请
    Method and system for expertise mapping based on user activity in recommender systems 失效
    基于推荐系统中用户活动的专业知识绘制方法和系统

    公开(公告)号:US20050131897A1

    公开(公告)日:2005-06-16

    申请号:US10733584

    申请日:2003-12-11

    CPC classification number: G06F17/30867 Y10S707/99935

    Abstract: The system and method analyzes activities of users in a recommender system to identify experts. Two types of experts may be identified: authoritative experts and hub experts. An authoritative expert is a user who creates items or documents in a given field that are acted upon by a large number of users within a community who are well connected in the given field. A hub expert is a user who is aware of important items or documents within a given field and uses, works or acts upon items or documents produced by authoritative experts. The system and method also identifies authoritative items (e.g., documents). An authoritative item or document is one which has been acted upon by a large number of users within a community who are well connected in the given field (i.e., hub experts).

    Abstract translation: 系统和方法分析用户在推荐系统中的活动,以识别专家。 可以确定两类专家:权威专家和中心专家。 权威专家是在给定领域创建项目或文档的用户,该项目或文档由在特定领域中良好连接的社区中的大量用户采取行动。 中心专家是知道某一领域中重要项目或文件的用户,并对权威专家制作的项目或文件进行使用,作品或行为。 该系统和方法还识别权威项目(例如,文档)。 一个权威的项目或文件是被一个社区内大量用户在特定领域(即中心专家)中连接良好的用户所执行的。

    System and method for collaborative ranking of search results employing user and group profiles derived from document collection content analysis
    37.
    发明授权
    System and method for collaborative ranking of search results employing user and group profiles derived from document collection content analysis 有权
    使用从文件收集内容分析导出的用户和组配置文件对搜索结果进行协同排序的系统和方法

    公开(公告)号:US06327590B1

    公开(公告)日:2001-12-04

    申请号:US09305435

    申请日:1999-05-05

    CPC classification number: G06F17/30867 Y10S707/99935

    Abstract: A system for ranking search results obtained from an information retrieval system includes a search pre-processor, a search engine and a search post-processor. The search preprocessor determines the context of the search query by comparing the terms in the search query with a predetermined user context profile. Preferably, the context profile is a user profile or a community profile, which includes a set of terms which have been rated by the user, community, or a recommender system. The search engine generates a search result comprising at least one item obtained from the information retrieval system. The search post-processor ranks each item returned in the search result in accordance with the context of the search query.

    Abstract translation: 用于对从信息检索系统获得的搜索结果进行排名的系统包括搜索预处理器,搜索引擎和搜索后处理器。 搜索预处理器通过将搜索查询中的术语与预定的用户上下文简档进行比较来确定搜索查询的上下文。 优选地,上下文简档是用户简档或社区简档,其包括由用户,社区或推荐系统评估的一组术语。 搜索引擎生成包括从信息检索系统获得的至少一个项目的搜索结果。 搜索后处理器根据搜索查询的上下文排列搜索结果中返回的每个项目。

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