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    ENHANCING SEARCH QUERIES USING USER IMPLICIT DATA
    1.
    发明公开
    ENHANCING SEARCH QUERIES USING USER IMPLICIT DATA 审中-公开
    使用用户隐藏数据增强搜索查询

    公开(公告)号：EP3289475A1

    公开(公告)日：2018-03-07

    申请号：EP16787028.6

    申请日：2016-04-27

    申请人： eBay Inc.

    发明人： LEVIN, Moshe

    IPC分类号： G06F17/00 ,  G06F17/30 ,  G06Q30/02

    CPC分类号： G06F17/30522 ,  G06F17/30646 ,  G06F17/30867 ,  G06Q30/0256 ,  G06Q30/0625 ,  G06Q30/0633

    摘要： Systems and methods are disclosed for enhancing user queries. In one embodiment, a method includes receiving user data from a plurality of users in respective user sessions where the user data for each user includes at least one manufacturer-identified term for a product and at least one user term for the product, associating the user term for the product and the manufacturer-identified term for the product in response to receiving the user term and the manufacturer-identified term within a user session from a threshold number of users, and returning search results based on the associated manufacturer-identified term in response to receiving a search query that includes the user term.

    METHOD AND SYSTEM FOR USER AUTHORIZATION BASED INFORMATION SEARCH AND ACCESS
    3.
    发明公开
    METHOD AND SYSTEM FOR USER AUTHORIZATION BASED INFORMATION SEARCH AND ACCESS 审中-公开
    新疆维吾尔自治区发展改革委员会

    公开(公告)号：EP3179385A1

    公开(公告)日：2017-06-14

    申请号：EP16158614.4

    申请日：2016-03-04

    申请人： Tata Consultancy Services Limited

    发明人： SHAH, Viral Prakash ,  SINGH, Gaurav ,  KHANDELWAL, Aakash ,  SANYAL, Sourabh

    IPC分类号： G06F17/30

    CPC分类号： G06F17/30867 ,  G06F17/30522 ,  G06F17/30554 ,  G06F21/604 ,  G06F21/6218 ,  G06Q10/06 ,  H04L63/06 ,  H04L63/102

    摘要： A method and system is provided for user authorization based information search and access. The present application provides a bandwidth efficient method and system for searching and accessing information based on a user authorization within an enterprise resource planning (ERP) environment by authorizing the user for searching and accessing the information containing authorization key ingrained therein without compromising speed of searching, comprises inputting user defined search query for information within the enterprise resource planning environment; forming user defined search query by incorporating authorization information of the user therein; searching a plurality of indexes for information; extracting search results from the plurality of indexes; and displaying the extracted search results.

    摘要翻译： 提供了一种用于基于用户授权的信息搜索和访问的方法和系统。 本申请提供了一种用于在企业资源规划（ERP）环境中基于用户授权来搜索和访问信息的带宽有效的方法和系统，其授权用户搜索和访问包含在其中根管的授权密钥的信息，而不损害搜索速度， 包括为企业资源规划环境中的信息输入用户定义的搜索查询; 通过将用户的授权信息合并在一起形成用户定义的搜索查询; 搜索多个索引信息; 从多个索引提取搜索结果; 并显示提取的搜索结果。

    SYSTEMS AND USER INTERFACES FOR HOLISTIC, DATA-DRIVEN INVESTIGATION OF BAD ACTOR BEHAVIOR BASED ON CLUSTERING AND SCORING OF RELATED DATA
    4.
    发明公开
    SYSTEMS AND USER INTERFACES FOR HOLISTIC, DATA-DRIVEN INVESTIGATION OF BAD ACTOR BEHAVIOR BASED ON CLUSTERING AND SCORING OF RELATED DATA 审中-公开
    系统和用户界面坏人行为的综合数据对照研究基于组群及相关数据的评估

    公开(公告)号：EP3125186A1

    公开(公告)日：2017-02-01

    申请号：EP16181945.3

    申请日：2016-07-29

    申请人： Palantir Technologies, Inc.

    发明人： Hunter, Sean ,  Kumar, Aditya ,  Albertson, Jacob

    IPC分类号： G06Q40/00

    CPC分类号： G06Q40/04 ,  G06F3/0482 ,  G06F17/30522 ,  G06F17/30598 ,  G06Q40/00

    摘要： Embodiments of the present disclosure relate to a data analysis system that may automatically generate memory-efficient clustered data structures, automatically analyze those clustered data structures, automatically tag and group those clustered data structures, and provide results of the automated analysis and grouping in an optimized way to an analyst. The automated analysis of the clustered data structures (also referred to herein as data clusters) may include an automated application of various criteria, rules, indicators, or scenarios so as to generate scores, reports, alerts, or conclusions that the analyst may quickly and efficiently use to evaluate the groups of data clusters. In particular, the groups of data clusters may be dynamically re-grouped and/or filtered in an interactive user interface so as to enable an analyst to quickly navigate among information associated with various groups of data clusters and efficiently evaluate those data clusters in the context of, for example, a risky trading investigation.

    摘要翻译： 本公开的实施例涉及一种数据分析系统也可以自动生成存储器高效的聚类的数据结构，自动地分析这些聚类的数据结构，自动标记和组这些聚类的数据结构，并提供自动化分析的结果，并在优化分组在 办法分析师。 群集的数据结构的自动分析（由作为数据群集进入简称）可以包括在各种标准，规则，指示器或场景自动应用程序，以产生评分，报告，警报，或结论做了分析员可以迅速和 有效地使用评估数据簇群。 特别是，数据的簇的基团可以被动态地重新分组和/或在给交互式用户界面过滤以使分析师之间与数据群集的各个组相关联的信息来快速导航，并在上下文有效地评估这些数据群集 ，例如，有风险的交易调查。

    RECOMMENDATION SYSTEM BASED ON GROUP PROFILES OF PERSONAL TASTE
    5.
    发明公开
    RECOMMENDATION SYSTEM BASED ON GROUP PROFILES OF PERSONAL TASTE 审中-公开
    EMPFEHLUNGSSYSTEM AUF BASIS VON GRUPPENPROFILEN EINESPERSÖNLICHENGESCHMACKS

    公开(公告)号：EP2956896A4

    公开(公告)日：2016-11-30

    申请号：EP13875190

    申请日：2013-07-03

    申请人： WINE RING INC

    发明人： DILLON STEPHEN ,  DILLON PAMELA ,  SUSSMAN ANDREW

    IPC分类号： G06F17/30 ,  G06Q30/00

    CPC分类号： G06Q30/0631 ,  G06F17/30522 ,  G06F17/3064 ,  G06F17/30702 ,  G06F17/30997 ,  G06Q30/0282 ,  G06Q50/01 ,  H04L67/306

    摘要： This document describes a method and system for recommending items, such as beverages, that members of a group are likely to find appealing. When group members are identified, the system may identify one or more preference models for each member. Each preference model represents a pattern of dependency between characteristics of items that the member has rated and the member's ratings for those items. The system may develop a group preference profile by merging the patterns of dependency for each of the members into a group preference model. Then, when it receives a request for a recommendation for an item, the system uses the group preference profile to select, from a database, a candidate item having characteristics which are likely to appeal to many or all members of the group.

    摘要翻译： 本文件描述了一种方法和系统，用于推荐组合成员可能会发现吸引力的物品，例如饮料。 当组成员被识别时，系统可以识别每个成员的一个或多个偏好模型。 每个偏好模型表示成员已评价的项目的特征与成员对这些项目的评级之间的依赖性模式。 系统可以通过将每个成员的依赖性模式合并成组偏好模型来开发组偏好简档。 然后，当它接收到对项目的建议的请求时，系统使用组偏好配置文件从数据库中选择具有可能吸引该组的许多或所有成员的特征的候选项。