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    • 1. 发明授权
    • Techniques for predicting user input on touch screen devices
    • 用于在触摸屏设备上预测用户输入的技术
    • US09372829B1
    • 2016-06-21
    • US13327446
    • 2011-12-15
    • Rouhollah RahmaniSrikanth ThirumalaiElmore Eugene Pope
    • Rouhollah RahmaniSrikanth ThirumalaiElmore Eugene Pope
    • G06F17/21G06F17/00G06F17/24
    • G06F3/04886G06F3/04842G06F3/0488G06F17/00
    • Techniques for determining user input on a touch screen of a user device are disclosed. In some situations, the techniques include: receiving information about a user input provided to a touch screen of a user device, the touch screen displaying two or more selectable objects, wherein each of the selectable objects, if selected, initiates a response corresponding to the selection of the object, determining a selectable object among the selectable objects that has a highest likelihood of being an object that a user intended to select with the user input, and providing a response corresponding to a selection of the determined selectable object. In one situation, a selectable object is a button or a hyperlink included in a Web page displayed on the screen of the device, and the response includes content associated with the selected button or hyperlink.
    • 公开了用于在用户设备的触摸屏上确定用户输入的技术。 在一些情况下,这些技术包括:接收关于提供给用户设备的触摸屏的用户输入的信息,触摸屏显示两个或更多个可选择对象,其中每个可选对象如果被选择,则发起对应于 选择对象,确定可选对象中可选择的对象具有作为用户想要用户输入选择的对象的可能性最高的可选对象,以及提供与所选择的可选对象的选择相对应的响应。 在一种情况下,可选对象是包括在显示在设备的屏幕上的网页中的按钮或超链接,并且响应包括与所选按钮或超链接相关联的内容。
    • 5. 发明授权
    • Identifying potential duplicates of a document in a document corpus
    • 在文档语料库中识别文档的潜在重复项
    • US09195714B1
    • 2015-11-24
    • US13030114
    • 2011-02-17
    • Srikanth ThirumalaiAswath ManoharanMark J. TomkoGrant M. EmeryVijai Mohan
    • Srikanth ThirumalaiAswath ManoharanMark J. TomkoGrant M. EmeryVijai Mohan
    • G06F17/30
    • G06F17/30528G06F17/30483G06F17/3071
    • According to aspects of the disclosed subject matter, a method for identifying a set of documents from a document corpus that are potential duplicates of a source document, is provided. A source document is obtained. A list of queries corresponding to the source document is identified. Each query in the identified list of queries is executed on the document corpus, wherein the execution of each query yields a corresponding results set identifying an ordered set of documents in the document corpus. For each document identified in each results set, a document score is generated for the identified document based on the identified document's ordinal position in its results set. A subset of the identified documents of the results set is selected according to the generated document scores that satisfy predetermined selection criteria. The selected subset of identified documents are stored or displayed.
    • 根据所公开的主题的方面,提供了一种用于从文档语料库中识别源文档的潜在重复的一组文档的方法。 得到一个源文件。 识别与源文档相对应的查询的列表。 在所识别的查询列表中的每个查询在文档语料库上执行,其中每个查询的执行产生标识文档语料库中的有序文档集合的相应结果集。 对于每个结果集中识别的每个文档,根据识别的文档在其结果集中的序数位置,为所识别的文档生成文档分数。 根据满足预定选择标准的所生成的文档分数来选择结果集的识别文档的子集。 识别的文档的所选子集被存储或显示。
    • 8. 发明授权
    • System and method for identifying feature phrases in item description information
    • 用于在项目描述信息中识别特征短语的系统和方法
    • US08838618B1
    • 2014-09-16
    • US13175124
    • 2011-07-01
    • Jianhui WuNicholas R. BoydSrikanth Thirumalai
    • Jianhui WuNicholas R. BoydSrikanth Thirumalai
    • G06F17/30
    • G06F17/30625
    • Embodiments may include, for each item in a subset of items from a larger group of items, evaluating item description information about that item to identify a respective set of candidate phrases to be evaluated. Embodiments may also include, for each phrase in the sets of candidate phrases, generating multiple component scores based on one or more of the frequency with which that phrase occurs in the item description information for the subset of items and/or the frequency with which that phrase occurs in a corpus of item description information for the overall group of items. Embodiments may also include, for each phrase in the sets of candidate phrases, generating a respective phrase score based on the component scores generated for that phrase. Embodiments may include, based on phrase scores, selecting a subset of phrases from the sets of candidate phrases as being feature phrases for the subset of items.
    • 实施例可以包括对于来自较大组项目的项目的子集中的每个项目,评估关于该项目的项目描述信息以标识要评估的各个候选短语集合。 实施例还可以包括对于候选短语集合中的每个短语,基于在该项目的子集的项目描述信息中出现该短语的频率中的一个或多个频率和/或该频率的频率,生成多个分量分数 短语发生在整个项目组的项目描述信息的语料库中。 对于候选短语集合中的每个短语,实施例还可以包括基于为该短语生成的分数分数来生成相应的短语分数。 实施例可以包括基于短语分数,从候选短语集合中选择短语的子集作为项目子集的特征短语。
    • 9. 发明授权
    • System and method for genetic creation of a rule set for duplicate detection
    • 遗传创建用于重复检测的规则集的系统和方法
    • US08577814B1
    • 2013-11-05
    • US13193285
    • 2011-07-28
    • Jianhui WuSrikanth Thirumalai
    • Jianhui WuSrikanth Thirumalai
    • G06F15/18
    • G06N3/126
    • Embodiments may generate a population of candidate rules including multiple rule conditions for detecting duplicates, each duplicate representing different sets of item description information that describe a common item. For each candidate rule of the population, embodiments may apply that rule to a reference data set including known duplicates and non-duplicates. Embodiments may assign each candidate rule a fitness score generated with a fitness function based on the performance of that candidate rule. Embodiments may, based on the fitness scores, select a subset of the population of candidate rules as parents for the new generation of candidate rules. Embodiments may perform crossover and/or mutation operations on the parent candidate rules to generate the new generation of candidate rules. Embodiments may select from the new generation of candidate rules (or from subsequent generations of candidate rules), rules for inclusion within a rule set for detecting duplicates within item description information.
    • 实施例可以生成包括用于检测重复的多个规则条件的候选规则的总体,每个复制代表描述公共项目的不同的项目描述信息集合。 对于群体的每个候选规则,实施例可以将该规则应用于包括已知重复项和非重复项的参考数据集。 实施例可以基于该候选规则的执行来为每个候选规则分配用适应度函数生成的适合度分数。 实施例可以基于适应度分数来选择候选规则的群体的子集作为新一代候选规则的父母。 实施例可以对父候选规则执行交叉和/或变异操作以生成候选规则的新一代。 实施例可以从新一代的候选规则(或从后续的候选规则)中选择用于包含在用于检测项目描述信息内的重复项的规则集中的规则。
    • 10. 发明授权
    • System and method for identifying structured data items lacking requisite information for rule-based duplicate detection
    • 用于识别缺少基于规则的重复检测所需信息的结构化数据项的系统和方法
    • US08527475B1
    • 2013-09-03
    • US13239068
    • 2011-09-21
    • Roshan Ram RammohanMadhu M KurupSrikanth Thirumalai
    • Roshan Ram RammohanMadhu M KurupSrikanth Thirumalai
    • G06F17/30
    • G06F17/30489
    • Embodiments of a system and method for identifying structured data items lacking requisite information for rule-based duplicate detection are described. Embodiments may include generating a deficiency score for each of multiple structured data items including applying a set of rules based on duplicate detection techniques to each given structured data item in order to perform a comparison of the given structured data item to itself. The deficiency score of the given structured data item may be based on a result of the comparison. Embodiments may also include, based on the deficiency scores of the structured data items, identifying one or more deficient structured data items having less than a requisite quantity of information for performing duplicate detection on structured data items. Embodiments may also include identifying one or more key attributes missing from some of the one or more deficient structured data items and requesting those key attributes.
    • 描述了用于识别缺少用于基于规则的重复检测的必需信息的结构化数据项的系统和方法的实施例。 实施例可以包括为多个结构化数据项中的每一个生成不足分数,包括将基于重复检测技术的一组规则应用于每个给定结构化数据项,以便执行给定结构化数据项与其自身的比较。 给定结构化数据项目的不足分数可以基于比较的结果。 实施例还可以基于结构化数据项的不足分数来识别具有小于必要数量的信息的一个或多个缺陷结构化数据项,以对结构化数据项执行重复检测。 实施例还可以包括识别从一个或多个缺陷结构化数据项中的一些缺失的一个或多个关键属性,并请求这些关键属性。