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    • 2. 发明申请
    • SYSTEM AND METHOD OF PRODUCT AND VENDOR SELECTION
    • 产品和供应商选择的系统和方法
    • US20160203540A1
    • 2016-07-14
    • US14596219
    • 2015-01-14
    • Zhan SHIYu CHENGGufei SUNWen-Syan LI
    • Zhan SHIYu CHENGGufei SUNWen-Syan LI
    • G06Q30/06G06F17/30
    • G06Q30/0625G06F17/3053
    • Disclosed herein are technologies for providing recommendations as to particular products and/or services that are customer specific and general, based on customer preference and inquiry. The recommendations are provided as part of an online shopping system. In accordance with one aspect, an item query is received from a customer, and analyzed by a query analyzer to determine if the query is a general item query or a specific item query. A search may be performed for items based on the item query in an items database listing items offered for purchase. If the query is the general item query, customer preference is determined from results of the search. If the query is the specific item query, the items from the results of the search are grouped based on cost performance. The items of the search result are ranked and provided to the customer.
    • 这里公开的是基于客户偏好和查询来提供关于特定产品和/或服务的顾客特定和一般的建议的技术。 这些建议作为在线购物系统的一部分提供。 根据一个方面,从客户接收到项目查询,并由查询分析器分析以确定查询是否是一般项目查询或特定项目查询。 可以在项目数据库中基于项目查询对项目进行搜索以列出要购买的项目。 如果查询是一般项目查询,则根据搜索结果确定客户偏好。 如果查询是特定项目查询,搜索结果中的项目将根据成本绩效进行分组。 搜索结果的项目被排序并提供给客户。
    • 5. 发明申请
    • PROFIT MAXIMIZATION RECOMMENDER SYSTEM FOR RETAIL BUSINESSES
    • 利润最大化零售业务建议系统
    • US20160125500A1
    • 2016-05-05
    • US14528763
    • 2014-10-30
    • Mengjiao WANGYu CHENGWen-Syan LI
    • Mengjiao WANGYu CHENGWen-Syan LI
    • G06Q30/06G06F17/30G06Q40/00
    • G06Q30/0631G06Q40/12
    • A method includes receiving an identification code for an item selected for purchase by a customer in a retail store, identifying at least one item similar to the customer-selected item, identifying at least one item related to the customer-selected item, calculating a value for a first expected profit for a first sale of the customer-selected item and the similar item, calculating a value for a second expected profit for a second sale of the customer-selected item and the related item, sorting the first sale and the second sale in an order based on the value for the first expected profit and the value for the second expected profit, and providing information associated with the first sale and the second sale, the information for use in recommending the similar item or the related item for purchase by the customer in the retail store.
    • 一种方法包括接收由零售商店中的客户选择购买的商品的识别码,识别与客户选择的商品相似的至少一个商品,识别与客户选择的商品相关的至少一个商品,计算价值 为了首次出售客户选择的项目和类似项目的第一预期利润,计算用于第二次销售客户选择的项目和相关项目的第二预期利润的价值,排序第一销售和第二销售 根据第一预期利润的价值和第二预期利润的价值进行订单销售,并提供与第一次销售和第二次销售相关的信息,用于推荐类似商品或相关商品的信息以供购买 由客户在零售店。
    • 8. 发明申请
    • FEEDBACK-DRIVEN EXOGENOUS FACTOR LEARNING IN TIME SERIES FORECASTING
    • 反馈驱动的异常因子在时间序列预测中学习
    • US20160026930A1
    • 2016-01-28
    • US14341525
    • 2014-07-25
    • Yu ChengXingtian ShiWen-Syan Li
    • Yu ChengXingtian ShiWen-Syan Li
    • G06N99/00G06N5/04
    • G06N99/005
    • A system for forecast modeling includes at least one processor and at least one database that is operably coupled to the at least one processor. The database includes a time series data module that is configured to store time series data for a domain, an exogenous data module that is configured to store exogenous data associated with multiple exogenous factors and a feedback module that is configured to collect and store feedback data from multiple online users, where the feedback data is related to the exogenous data and the exogenous factors. The system includes a data pre-processor module that is configured to use the at least one processor to identify and select a portion of the exogenous factors using the feedback data collected from the online users for use in a forecast model in combination with the time series data for the domain.
    • 一种用于预测建模的系统包括至少一个处理器和至少一个可操作地耦合到所述至少一个处理器的数据库。 数据库包括被配置为存储域的时间序列数据的时间序列数据模块,被配置为存储与多个外部因素相关联的外部数据的外部数据模块,以及被配置为收集和存储来自 多个在线用户,反馈数据与外生数据和外生因素有关。 该系统包括数据预处理器模块,其被配置为使用至少一个处理器来使用从在线用户收集的反馈数据来识别和选择一部分外部因素,以用于与预测模型结合时间序列 域的数据。
    • 10. 发明申请
    • SYSTEM AND METHOD OF FUEL FILLING TO MINIMIZE FUEL COST
    • 燃料充填系统和方法,以最小化燃料成本
    • US20150178799A1
    • 2015-06-25
    • US14134567
    • 2013-12-19
    • Yu ChengMengjiao WangWen-Syan Li
    • Yu ChengMengjiao WangWen-Syan Li
    • G06Q30/02G06Q50/06
    • G06Q30/0283G06Q50/06
    • In an example, a method for determining quantities of fuel to dispense at a plurality of terminals along a transit route of a vehicle includes identifying a plurality of terminals along the transit route, each terminal of the plurality of terminals have an associated cost-per-unit of fuel dispensed; initializing a set of candidate fueling scenarios, each candidate fueling scenario including an initial array of values, each value in the array of values indicating a quantity of fuel to dispense to the vehicle at one of the plurality of terminals along the transit route; iteratively, using at least one processor, modifying the set of candidate scenarios; identifying the candidate scenario of the set of candidate scenarios with the lowest total fuel cost; and transmitting for display, the quantity of fuel to dispense at each of the plurality of terminals according to the identified lowest total fuel cost candidate scenario.
    • 在一个示例中,用于确定在沿着交通路线的多个终端处分配的燃料量的方法包括:沿着所述运输路线识别多个终端,所述多个终端中的每个终端具有相关联的成本 - 燃油单位 初始化一组候选加油场景,每个候选加油场景包括初始数值阵列,所述值阵列中的每个值表示沿所述运输路线在所述多个终端中的一个终端处分配给所述车辆的燃料量; 迭代地使用至少一个处理器,修改所述一组候选场景; 确定具有最低总燃料成本的一组候选情景的候选情景; 以及根据所识别的最低总燃料成本候选情景,发送用于显示在所述多个终端中的每一个处分配的燃料量。