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    • 101. 发明授权
    • Phrase extraction using subphrase scoring
    • 短语提取使用subphrase得分
    • US08402033B1
    • 2013-03-19
    • US13274238
    • 2011-10-14
    • Soham MazumdarViktor PrzebindaYonatan Zunger
    • Soham MazumdarViktor PrzebindaYonatan Zunger
    • G06F7/00G06F17/30
    • G06F17/30616G06F17/30864
    • An information retrieval system uses phrases to index, retrieve, organize and describe documents. Phrases are extracted from the document collection. Documents are the indexed according to their included phrases, using phrase posting lists. The phrase posting lists are stored in an cluster of index servers. The phrase posting lists can be tiered into groups, and sharded into partitions. Phrases in a query are identified based on possible phrasifications. A query schedule based on the phrases is created from the phrases, and then optimized to reduce query processing and communication costs. The execution of the query schedule is managed to further reduce or eliminate query processing operations at various ones of the index servers.
    • 信息检索系统使用短语来索引,检索,组织和描述文档。 短语从文档集中提取。 文件根据所包含的短语索引,使用短语发布列表。 短语发布列表存储在索引服务器的集群中。 短语列表可以分组成分组,并分成分区。 查询中的短语是根据可能的短语来确定的。 从短语中创建基于短语的查询调度,然后进行优化,以减少查询处理和通信成本。 管理查询调度的执行以进一步减少或消除索引服务器中的各个查询处理操作。
    • 105. 发明授权
    • Association of semantic meaning with data elements using data definition tags
    • 语义意义与数据元素的关联使用数据定义标签
    • US08380493B2
    • 2013-02-19
    • US12895870
    • 2010-10-01
    • Ben ChronisterBryan Dove
    • Ben ChronisterBryan Dove
    • G06F17/21
    • G06F17/30911G06F17/30616G06F17/30707G06F17/30734
    • Technology is described for associating semantic meaning with data elements. The system can include a messaging module configured to receive a message having data elements. A storage module can store the data elements from the message in a structured format. A message dictionary can be configured to identify a type of the message received and to lexically identify data elements of the message using the message dictionary and the type of message. In addition, a taxonomy module can be configured to provide a semantic meaning for the data elements of the lexically identified portions of the message. Further, a data definition tag repository can store data definition tags and link the message dictionary, the taxonomy, and storage location of the data elements in the storage module. The data definition tags can enable the semantic meaning of data elements to be queried.
    • 描述了将语义意义与数据元素相关联的技术。 该系统可以包括被配置为接收具有数据元素的消息的消息收发模块。 存储模块可以以结构化格式存储消息中的数据元素。 消息字典可以被配置为识别接收的消息的类型,并且使用消息字典和消息的类型来词法地标识消息的数据元素。 此外,分类模块可以被配置为为消息的词汇识别的部分的数据元素提供语义意义。 此外,数据定义标签库可以存储数据定义标签,并将数据元素的消息字典,分类和存储位置链接到存储模块中。 数据定义标签可以启用要查询的数据元素的语义含义。
    • 107. 发明授权
    • Domain-specific sentiment classification
    • 域特定情绪分类
    • US08356030B2
    • 2013-01-15
    • US13163623
    • 2011-06-17
    • Tyler J. NeylonKerry L. HannanRyan T. McDonaldMichael WellsJeffrey C. Reynar
    • Tyler J. NeylonKerry L. HannanRyan T. McDonaldMichael WellsJeffrey C. Reynar
    • G06F17/30
    • G06F17/30616
    • A domain-specific sentiment classifier that can be used to score the polarity and magnitude of sentiment expressed by domain-specific documents is created. A domain-independent sentiment lexicon is established and a classifier uses the lexicon to score sentiment of domain-specific documents. Sets of high-sentiment documents having positive and negative polarities are identified. The n-grams within the high-sentiment documents are filtered to remove extremely common n-grams. The filtered n-grams are saved as a domain-specific sentiment lexicon and are used as features in a model. The model is trained using a set of training documents which may be manually or automatically labeled as to their overall sentiment to produce sentiment scores for the n-grams in the domain-specific sentiment lexicon. This lexicon is used by the domain-specific sentiment classifier.
    • 创建一个域特定情绪分类器,可用于评估由领域特定文档表达的情绪的极性和程度。 建立一个独立于领域的情绪词典,一个分类器使用词典来评价领域特定文件的情感。 确定了具有正极性和负极性的高情绪文件。 高信度文件中的n-gram被过滤以去除非常常见的n-gram。 过滤的n-gram被保存为域特定的情绪词典,并被用作模型中的特征。 该模型使用一组培训文件进行培训,培训文档可以手动或自动标记为对整个情境的整体情绪,以便在域特定情绪词典中产生n-gram的情绪评分。 该词典由域特定的情感分类器使用。
    • 109. 发明申请
    • INTELLIGENT FEATURE EXPANSION OF ONLINE TEXT ADS
    • 在线文本ADS的智能特征扩展
    • US20120316972A1
    • 2012-12-13
    • US12935283
    • 2010-03-04
    • Jian HuHao Zheng
    • Jian HuHao Zheng
    • G06Q30/02
    • G06Q30/0244G06F17/30616G06F17/30672G06F17/30867G06Q30/0256G06Q30/0276
    • Embodiments employ knowledge from network searches to enrich features useable to describe an advertisement. Advertisement content may be segmented to generate key phrases that are rank ordered based on a phrase's pointwise mutual information value with Ad keywords and term frequency-inverse document frequency (TF-IDF) scores. These key phrases are employed to generate a plurality of query searches that are performed to generate a plurality of search result snippets. The snippets are then analyzed and ranked to identify query expansion features having a TF-IDF value over a given threshold. A subset of these ranked phrases are combined with the Ad keywords to be used to rebuild an Ad index for the given advertisement. When content is to be delivered to a client device, content keywords are compared to the Ad index to select an advertisement to be provided with the content to the client device.
    • 实施例采用来自网络搜索的知识来丰富可用于描述广告的特征。 广告内容可以被分割以产生基于具有广告关键词和术语频率 - 逆文档频率(TF-IDF)分数的短语的点互信息值进行排序的关键短语。 采用这些关键短语来产生多个查询搜索,以便生成多个搜索结果片段。 然后对片段进行分析和排序,以识别具有超过给定阈值的TF-IDF值的查询扩展特征。 将这些排名短语的一部分与用于重建给定广告的广告索引的广告关键字相结合。 当将内容传送到客户端设备时,将内容关键字与广告索引进行比较,以选择要向客户端设备提供内容的广告。