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1. 发明授权

US08700480B1 Extracting quotes from customer reviews regarding collections of items 有权
标题翻译：从客户评论中提取关于项目收藏的报价
公开(公告)号：US08700480B1
公开(公告)日：2014-04-15
申请号：US13164181
申请日：2011-06-20
申请人： Eric B. Fox , Logan L. Dillard , Russell A. Dicker
发明人： Eric B. Fox , Logan L. Dillard , Russell A. Dicker
IPC分类号： G06Q30/00
CPC分类号： G06Q30/0278
摘要： 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.
摘要翻译：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。

2. 发明授权

US08666830B1 Identifying top rated products 有权
公开(公告)号：US08666830B1
公开(公告)日：2014-03-04
申请号：US13075793
申请日：2011-03-30
申请人： Logan L. Dillard , Samuel S. Sonne , Eric B. Fox , Russell A. Dicker , Scott A. Mongrain
发明人： Logan L. Dillard , Samuel S. Sonne , Eric B. Fox , Russell A. Dicker , Scott A. Mongrain
IPC分类号： G06Q30/00
摘要： The top rated products in a product category are identified by computing a score for each product in the category. The score is computed by calculating a time decay factor for each product category. The time decay factor is utilized to decay the ratings of each product as a function of time. A relevance value is also computed for each product. The relevance value is utilized to modify the ratings for each product in view of the recency of the ratings. The score may be computed for each product using the ratings for the product, the computed time decay factor, and/or the relevance value. The computed scores are utilized to rank the products in the product category.

3. 发明授权

US09672555B1 Extracting quotes from customer reviews 有权
公开(公告)号：US09672555B1
公开(公告)日：2017-06-06
申请号：US13051278
申请日：2011-03-18
申请人： Logan L. Dillard , Eric B. Fox , Russell A. Dicker
发明人： Logan L. Dillard , Eric B. Fox , Russell A. Dicker
IPC分类号： G06Q30/00 , G06Q30/06 , G06F17/30 , G06Q30/02 , G06F17/27
CPC分类号： G06Q30/0631 , G06F17/2705 , G06F17/2785 , G06F17/30705 , G06Q30/0282 , G06Q30/0623
摘要： Technologies are described herein for extracting quotes for an item from customer reviews. Individual sentences or phrases contained in customer reviews regarding an item or category of items are parsed into a collection of sentences. A list of topics is generated from the collection of sentences, and each sentence or phrases is assigned a topic from the list of topics. The most relevant topics from the list of topics are identified for a particular item, and one or more sentences or phrases from customer reviews for the particular item are selected for each of the most relevant topics that best represent the sentences associated with the item and assigned to that topic, according to content and sentiment.

4. 发明授权

US09965470B1 Extracting quotes from customer reviews of collections of items 有权
公开(公告)号：US09965470B1
公开(公告)日：2018-05-08
申请号：US13097233
申请日：2011-04-29
申请人： Eric B. Fox , Russell A. Dicker , Logan L. Dillard
发明人： Eric B. Fox , Russell A. Dicker , Logan L. Dillard
IPC分类号： G06Q30/00 , G06F17/30 , G06F9/00
CPC分类号： G06F17/30 , G06F9/00
摘要： Technologies are described herein for extracting quotes from customer reviews for a collection of items in order to provide salient comments for a particular item and/or upsell the collection. Individual sentences contained the customer reviews regarding the collection of items are parsed into a collection of sentences. A list of topics is generated from the collection of sentences, and each sentence in is assigned to one or more of the topics. A number of the topics from the list of topics are identified as related to the particular item, and quotes are extracted from the sentences assigned to the identified topics to be displayed as customer reviews of the particular item. Similarly, a number of topics in the list of topics are identified as related to a customer satisfaction with the collection of items, and quotes are extracted from the sentences assigned to the identified topics to be displayed in conjunction with an offer to upsell the collection of items.

5. 发明授权

US08554701B1 Determining sentiment of sentences from customer reviews 有权
标题翻译：从客户评论中确定句子的情绪
公开(公告)号：US08554701B1
公开(公告)日：2013-10-08
申请号：US13051309
申请日：2011-03-18
申请人： Logan L. Dillard , Eric B. Fox , Russell A. Dicker
发明人： Logan L. Dillard , Eric B. Fox , Russell A. Dicker
IPC分类号： G06F15/18 , G06N99/00
CPC分类号： G06N99/005 , G06F17/2785 , G06Q30/0601
摘要： 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.
摘要翻译：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。

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