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    • 2. 发明申请
    • MANAGING CUSTOMER COMMUNICATIONS AMONG A PLURALITY OF CHANNELS
    • 管理多渠道的客户沟通
    • US20120239590A1
    • 2012-09-20
    • US13047310
    • 2011-03-14
    • Josef M. BroderChitra DoraiAnshul Sheopuri
    • Josef M. BroderChitra DoraiAnshul Sheopuri
    • G06Q30/00
    • G06Q30/0251
    • A method, data processing system, and computer program product for managing communications sent to a plurality of customers are presented. A set of features of a customer in the plurality of customers and a plurality of channels for communicating with the customer are identified. A number of times to test the plurality of channels is identified based on a number of customers in the plurality of customers. A weighting for the set of features of the customer is identified from results of testing a channel in the plurality of channels. The weighting is identified in response to determining that the plurality of channels have been tested the number of times. A probability of success in using the channel to communicate with the customer is identified based on the weighting and the set of features. A determination is made whether to use the channel to communicate with the customer based on the probability.
    • 提出了一种用于管理发送给多个客户的通信的方法,数据处理系统和计算机程序产品。 识别多个客户中的客户的一组特征以及用于与客户通信的多个信道。 基于多个客户中的多个客户来识别测试多个频道的次数。 通过测试多个信道中的信道的结果来识别用户的一组特征的权重。 响应于确定多个信道已经被测试次数来识别加权。 基于加权和特征集来识别使用信道与客户进行通信的成功概率。 根据概率确定是否使用信道与客户进行通信。
    • 6. 发明申请
    • Identification of Contact Mode for Contacting Parties to Maximize the Probability of Achieving a Desired Outcome
    • 确定联系方面的联系方式,以最大限度地实现预期成果的概率
    • US20120158412A1
    • 2012-06-21
    • US12969094
    • 2010-12-15
    • Chitra DoraiEric R. RayGary L. SeyboldAnshul Sheopuri
    • Chitra DoraiEric R. RayGary L. SeyboldAnshul Sheopuri
    • G06F17/30G06Q10/00
    • G06Q10/00
    • Computer implemented method, data processing system, and computer readable storage medium having computer program product encoded thereon for identifying a contact mode for contacting parties to maximize a probability of achieving a desired outcome. A plurality of parties are divided into a plurality of clusters of parties according to a list of attributes that are statistically significant with respect to achieving a desired outcome. A subset of parties from each cluster of parties of the plurality of clusters of parties are selected, and parties in each subset of parties are contacted by different ones of a plurality of contact modes. A result of the contacting for each subset of parties is analyzed to identify a contact mode of the plurality of contact modes for contacting the parties in each cluster of the plurality of clusters that maximizes a probability of achieving the desired outcome.
    • 计算机实现的方法,数据处理系统和计算机可读存储介质,其上编码有计算机程序产品,用于识别用于联系方的联系模式以最大化实现期望结果的可能性。 根据关于实现期望的结果具有统计意义的属性列表,将多个方分成多个聚集。 选择来自多个聚集方的每个聚集的聚集的一方的子集,并且通过多个联系模式中的不同聚合方式来接触各方的每个子集中的各方。 分析对于各方的每个子集的联系的结果,以识别多个联系模式的联系模式,用于联系多个聚类中的每个聚类中的各方,以最大化实现期望结果的概率。
    • 7. 发明申请
    • PRIORITIZING LOANS USING CUSTOMER, PRODUCT AND WORKFLOW ATTRIBUTES
    • 优先使用客户,产品和工作流程的贷款
    • US20110078071A1
    • 2011-03-31
    • US12567064
    • 2009-09-25
    • Chitra DoraiJane D. HoffmannDaniel N. JohnsonMilind R. NaphadeQihong ShaoAnshul Sheopuri
    • Chitra DoraiJane D. HoffmannDaniel N. JohnsonMilind R. NaphadeQihong ShaoAnshul Sheopuri
    • G06Q40/00
    • G06Q40/02G06Q40/025
    • Data representative of a plurality of mortgage applications is obtained. The applications participate in a mortgage origination process, and each of the applications has associated therewith customer-specific attributes and product-specific attributes. The mortgage origination process has a plurality of statuses. Data representative of at least one environmental attribute is also obtained. Each given one of the mortgage applications in a given one of the plurality of statuses at a given time is ranked by likelihood of not closing, based at least on the customer-specific attributes, the product-specific attributes, and the at least one environmental attribute. Those of the mortgage applications likely not to close which are likely not to close due to non-exogenous attributes are identified. For at least some of the mortgage applications likely not to close due to non-exogenous attributes, suggestion of a modification of at least one corresponding one of the product-specific attributes is facilitated, to enhance the likelihood of closing.
    • 获得代表多个按揭申请的数据。 应用程序参与抵押发起过程,并且每个应用程序都与客户特定的属性和产品特定属性相关联。 抵押发起过程有多种状态。 还获得了表示至少一个环境属性的数据。 至少基于顾客特定的属性,产品特定属性和至少一个环境中的给定时间内的给定的多个状态中的给定一个抵押贷款申请中的每个给定的一个抵押贷款申请按照不关闭的可能性进行排序 属性。 确定由于非外生属性可能不会关闭的抵押贷款申请可能不会收回的。 对于由于非外生属性而言,至少一些抵押贷款申请可能不会关闭,促进对产品特定属性中的至少一个对应的修改的建议,以增加关闭的可能性。
    • 9. 发明申请
    • Apparatus, System, Method and Computer Program Product for Analysis of Fraud in Transaction Data
    • 设备,系统,方法和计算机程序产品,用于分析交易数据中的欺诈
    • US20080109272A1
    • 2008-05-08
    • US11557520
    • 2006-11-08
    • Anshul SheopuriPaolina CentonzeSai ZengJose GomesIoana Boier-Martin
    • Anshul SheopuriPaolina CentonzeSai ZengJose GomesIoana Boier-Martin
    • G06Q10/00G07F17/10
    • G06Q10/10G06Q40/00
    • In one non-limiting aspect thereof the exemplary embodiments of this invention provide a computer-implemented method to make a decision as to whether a particular claim submitted by a first economic agent for approval by a second economic agent may be a fraudulent claim. The method includes applying statistics to information representing a proxy of fraud to generate an estimate of a probability of fraud for the particular claim; updating the estimate of the probability of fraud using decision making under uncertainty that is based at least in part on at least one type of additional information; applying game theory to the updated estimate of the probability of fraud to model strategic behavior between the first and second economic agents; and generating a recommendation to audit or not audit the particular claim. The proxy of fraud may be imperfect proxy of fraud, such as is found in nascent industries.
    • 在其一个非限制性方面,本发明的示例性实施例提供了一种计算机实现的方法,用于作出关于由第一经济代理人提交以由第二经济代理人批准的特定索赔是否为欺诈性索赔的决定。 该方法包括将统计信息应用于代表欺诈代理的信息以产生针对特定权利要求的欺诈概率的估计; 至少部分地基于至少一种类型的附加信息来更新使用不确定性下的决策的欺诈概率的估计; 将游戏理论应用于对第一和第二经济主体之间的战略行为模拟欺诈概率的更新估计; 并产生建议来审核或不审核特定的权利要求。 欺诈的代理可能是欺诈行为的不完美代理,如在新兴行业中发现的。