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    • 31. 发明授权
    • Consolidation of product data models
    • 整合产品数据模型
    • US07739080B1
    • 2010-06-15
    • US10827078
    • 2004-04-19
    • Brandon M. BeckShawn A. P. Smith
    • Brandon M. BeckShawn A. P. Smith
    • G06F7/60G06F19/00G06F9/44G06N5/02
    • G06F17/50G06F2217/06G06Q10/063
    • A model consolidation process combines multiple configuration models into a single unified configuration model that contains the union of the allowable combinations (i.e. combinations that are buildable) from each of the original models. An aspect of at least one embodiment of the model consolidation process is that it allows models to be combined in such a way that any incompatibilities or contradictions between models are detected and automatically resolved where possible. If an incompatibility is detected that cannot be automatically resolved, then the configuration models should not be combined. Instead if this incompatibility case occurs, at least one embodiment of the model consolidation process produces a description of the problem encountered and report the problem along with the necessary information required for a human to resolve it.
    • 模型合并过程将多个配置模型组合成单个统一配置模型,其中包含来自每个原始模型的可允许组合(即可构建的组合)的并集。 模型合并过程的至少一个实施例的一个方面是它允许模型被组合,使得模型之间的任何不兼容性或矛盾被检测并且在可能的情况下自动解决。 如果检测到不能自动解决的不兼容性,则不应组合配置模型。 相反,如果发生这种不兼容的情况,模型合并过程的至少一个实施例会产生遇到的问题的描述,并报告问题以及人们解决问题所需的必要信息。
    • 32. 发明授权
    • Scoring recommendations and explanations with a probabilistic user model
    • 用概率用户模型评分建议和解释
    • US07676400B1
    • 2010-03-09
    • US11144455
    • 2005-06-03
    • Thomas H. Dillon
    • Thomas H. Dillon
    • G06Q30/00
    • G06Q30/0631G06Q30/02G06Q30/06
    • A data processing system generates recommendations for on-line shopping by scoring recommendations matching the customer's cart contents using by assessing and ranking each candidate recommendation by the expected incremental margin associated with the recommendation being issued (as compared to the expected margin associated with the recommendation not being issued) by taking into consideration historical associations, knowledge of the layout of the site, the complexity of the product being sold, the user's session behavior, the quality of the selling point messages, product life cycle, substitutability, demographics and/or other considerations relating to the customer purchase environment. In an illustrative implementation, scoring inputs for each candidate recommendation (such as relevance, exposure, clarity and/or pitch strength) are included in a probabilistic framework (such as a Bayesian network) to score the effectiveness of the candidate recommendation and/or associated selling point messages by comparing a recommendation outcome (e.g., purchase likelihood or expected margin resulting from a given recommendation) against a non-recommendation outcome (e.g., the purchase likelihood or expected margin if no recommendation is issued). In addition, a probabilistic framework may also be used to select a selling point message for inclusion with a selected candidate recommendation by assessing the relative strength of the selling point messages by factoring in a user profile match factor (e.g., the relative likelihood that the customer matches the various user case profiles).
    • 数据处理系统通过对与客户购物车内容相匹配的建议进行评分,通过评估和排名每个候选人推荐与所推荐的建议相关联的预期增量保证金(与与该建议不相关的预期保证金相比较)来生成在线购物的建议 通过考虑历史协会,网站布局知识,被销售产品的复杂性,用户的会话行为,卖点消息的质量,产品生命周期,可替代性,人口统计和/或其他 与客户购买环境有关的考虑。 在说明性实现中,对于每个候选推荐(例如相关性,曝光,清晰度和/或音调强度)的评分输入被包括在概率框架(例如贝叶斯网络)中,以评估候选推荐的有效性和/或相关联 通过比较推荐结果(例如,由给定建议产生的购买可能性或预期保证金)与非推荐结果(例如,如果没有推荐推荐,购买可能性或预期保证金)进行比较。 此外,概率框架还可以用于通过通过考虑用户简档匹配因子(例如,客户的相对似然性)来评估卖点消息的相对强度来选择用于包含所选择的候选推荐的卖点消息 匹配各种用户案例配置文件)。
    • 33. 发明授权
    • Method and apparatus for filtering and/or sorting responses to electronic requests for quote
    • 用于过滤和/或排序响应电子报价请求的方法和装置
    • US07653583B1
    • 2010-01-26
    • US09571799
    • 2000-05-16
    • Gunter LeebCheryl W. ScottDavid J. Reese
    • Gunter LeebCheryl W. ScottDavid J. Reese
    • G06Q40/00
    • G06Q30/06G06Q40/04
    • A method and apparatus for filtering and/or sorting responses to electronic requests for quotes for a product or products offered for sale includes comparing first data of each of a plurality electronic quotes to first data of an electronic request for quote. Each of the plurality of electronic quotes is classified as either a matching quote or a non-matching quote. After the quotes are classified, each classified quote is ranked, for example, by the total price of the product or products offered for sale. Classification into distinct categories is used to apply techniques to make quotes comparable. Inexact matches can be adjusted to allow comparison between exact matching quotes and the adjusted inexact matching quotes.
    • 一种用于过滤和/或排序对电子请求进行响应的方法和装置,用于提供出售的产品或产品的报价包括将多个电子报价中的每一个的第一数据与电子报价请求的第一数据进行比较。 多个电子报价中的每一个都被分类为匹配报价或非匹配报价。 报价分类后,每个分类报价按照出售产品或产品的总价格进行排序。 分类为不同类别用于应用技术使报价相当。 可以调整不精确的比赛,以便在精确匹配的报价和经过调整的不精确匹配报价之间进行比较。