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    • 2. 发明授权
    • Determining sentiment of sentences from customer reviews
    • 从客户评论中确定句子的情绪
    • US08554701B1
    • 2013-10-08
    • US13051309
    • 2011-03-18
    • Logan L. DillardEric B. FoxRussell A. Dicker
    • Logan L. DillardEric B. FoxRussell A. Dicker
    • G06F15/18G06N99/00
    • G06N99/005G06F17/2785G06Q30/0601
    • Technologies are described herein for classifying sentences or phrases as expressing positive or negative sentiment based on machine learning from training data comprising sentences manually labeled as to sentiment. A list of terms is generated from the manually labeled sentences and sentiment scores are determined for the terms in the list of terms based on the manually labeled sentences. A collection of sentences or phrases may then be classified as to sentiment utilizing one or more logistic regression classifiers trained on the sentiment scores determined for the terms in the list of terms. The classified collection of sentences may be further analyzed to determine an overall majority sentiment regarding a topic discussed in the sentences and/or to extract specific sentences or phrases expressing a particular sentiment for display to a customer.
    • 本文描述了技术,用于将句子或短语分类为基于机器学习的正面或负面情绪,包括手动标记为情绪的句子的训练数据。 从手动标记的句子生成术语列表,并且基于手动标记的句子来确定术语列表中的术语的情感分数。 然后可以将句子或短语的集合分类为利用针对术语列表中的术语确定的情绪评分训练的一个或多个逻辑回归分类器的情绪。 可以进一步分析句子的分类集合以确定关于句子中讨论的主题的整体多数情绪和/或提取表达特定情绪以向客户展示的特定句子或短语。
    • 4. 发明授权
    • Extracting quotes from customer reviews regarding collections of items
    • 从客户评论中提取关于项目收藏的报价
    • US08700480B1
    • 2014-04-15
    • US13164181
    • 2011-06-20
    • Eric B. FoxLogan L. DillardRussell A. Dicker
    • Eric B. FoxLogan L. DillardRussell A. Dicker
    • G06Q30/00
    • G06Q30/0278
    • Technologies are described herein for extracting quotes from customer reviews regarding collections of items. An identifier of an individual item is received and customer reviews regarding a collection of items containing the individual item are retrieved. A collection of sentences is parsed from the retrieved customer reviews, and sentences that discuss the individual item are identified. A quote is extracted from the identified sentences and displayed to a customer in conjunction with information regarding the individual item. Similarly, individual items belonging to a collection of items are identified, and customer reviews regarding the individual items are retrieved. A collection of sentences are parsed from the retrieved customer reviews, and those sentences that discuss topics relevant to the collection of items are identified. A number of quotes are extracted from the identified sentences and displayed to a customer in conjunction with information regarding the collection of items.
    • 本文描述了技术,用于从客户评论中提取关于项目集合的引用。 接收到单个项目的标识符,并检索关于包含单独项目的项目的集合的顾客评价。 从检索到的客户评论中解析出句子集合,并且识别讨论单个项目的句子。 从确定的句子中提取报价,并结合有关单个项目的信息向客户显示报价。 类似地,识别属于项目集合的各个项目,并且检索关于各个项目的顾客评价。 从检索到的客户评论中解析出句子的集合,并且识别讨论与收集项目相关的主题的句子。 从确定的句子中提取了一些引号,并结合关于项目收集的信息向客户显示。
    • 6. 发明授权
    • Diversity within search results
    • 搜索结果中的多样性
    • US08838583B1
    • 2014-09-16
    • US13253314
    • 2011-10-05
    • Eric B. Fox
    • Eric B. Fox
    • G06F17/30
    • G06F17/3053G06F17/30864G06Q30/0207G06Q30/06
    • Disclosed are various embodiments for increasing diversity of search results. A computing device performs a search of items in an electronic catalog to produce a plurality of search results. The electronic catalog is stored in a data store accessible to the computing device. A latent group is identified which includes a most relevant one of a plurality of search results. Each of the search results has a plurality of attributes. Membership in the latent group is determined by similarity of a non-indexed one of the attributes. A relevance score of those search results in the identified latent group other than the most relevant one of the search results is reduced.
    • 公开了用于增加搜索结果的多样性的各种实施例。 计算设备执行电子目录中的项目的搜索以产生多个搜索结果。 电子目录存储在计算设备可访问的数据存储器中。 识别出包括多个搜索结果中最相关的潜在组。 每个搜索结果具有多个属性。 潜在组中的成员资格由非索引的一个属性的相似度确定。 除了最相关的搜索结果之外的所识别的潜在组中的那些搜索结果的相关性得分减少。