HIGH SCALABLE DOCUMENT GENERATION SERVICE
    23.
    发明公开

    公开(公告)号:US20230171245A1

    公开(公告)日:2023-06-01

    申请号:US17538754

    申请日:2021-11-30

    CPC classification number: H04L63/083 G06F16/986

    Abstract: Disclosed are some implementations of systems, apparatus, methods and computer program products for implementing a scalable computing system. The scalable computing system includes an intermediate system that facilitates communications between a core server system and a third-party system. The core server system processes a client request for a third-party service in association with a web page having a corresponding web address. The intermediate system communicates with the core server system to obtain a session token, and transmits the session token and web address to the third-party system. The third-party system may then access the web page via the web address using the session token.

    Data analytics systems and methods with personalized sentiment models

    公开(公告)号:US10713588B2

    公开(公告)日:2020-07-14

    申请号:US15050887

    申请日:2016-02-23

    Abstract: A system for processing social media data includes a platform with a social media acquisition module configurable to collect a plurality of social media statements. The platform further includes an analysis engine configurable to analyze the plurality of social media statements according to a first sentiment model to generate first analytics data. The analysis engine is configurable to present the first analytics data to a client user, including a display of a sentiment value for each of the social media statements. The platform further includes a feedback queue configurable to receive feedback from the client user on at least a portion of the sentiment values; a model modification module configurable to modify the first sentiment model based on the feedback to result in a modified sentiment model; and a database configurable to store the modified sentiment model as a personalized sentiment model for the client user.

    DATA ANALYTICS SYSTEMS AND METHODS WITH PERSONALIZED SENTIMENT MODELS

    公开(公告)号:US20170243120A1

    公开(公告)日:2017-08-24

    申请号:US15050887

    申请日:2016-02-23

    Abstract: A system for processing social media data includes a platform with a social media acquisition module configurable to collect a plurality of social media statements. The platform further includes an analysis engine configurable to analyze the plurality of social media statements according to a first sentiment model to generate first analytics data. The analysis engine is configurable to present the first analytics data to a client user, including a display of a sentiment value for each of the social media statements. The platform further includes a feedback queue configurable to receive feedback from the client user on at least a portion of the sentiment values; a model modification module configurable to modify the first sentiment model based on the feedback to result in a modified sentiment model; and a database configurable to store the modified sentiment model as a personalized sentiment model for the client user.

    SPAM FLOOD DETECTION METHODOLOGIES
    28.
    发明申请
    SPAM FLOOD DETECTION METHODOLOGIES 有权
    垃圾邮件检测方法

    公开(公告)号:US20170026268A1

    公开(公告)日:2017-01-26

    申请号:US15285103

    申请日:2016-10-04

    Inventor: Dai Duong Doan

    Abstract: A computer-implemented method and system are provided in which characteristics of a website are analyzed to determine whether the website represents a potential source of spam content. The analysis can include generating a characterizing signature of a webpage containing a content item, and obtaining an occurrence count for the generated characterizing signature. The characterizing signature is derived from formatting data of the webpage. When the obtained occurrence count is greater than a threshold count, the content item can be identified as spam content, and flagged as spam content.

    Abstract translation: 提供了一种计算机实现的方法和系统,其中分析网站的特征以确定网站是否代表垃圾内容的潜在来源。 分析可以包括生成包含内容项的网页的特征签名,以及获得所生成的特征签名的发生计数。 特征签名来源于网页的格式化数据。 当获得的发生次数大于阈值计数时,内容项可以被识别为垃圾内容,并被标记为垃圾内容。

    DETECTION AND HANDLING OF AGGREGATED ONLINE CONTENT USING DECISION CRITERIA TO COMPARE SIMILAR OR IDENTICAL CONTENT ITEMS
    29.
    发明申请
    DETECTION AND HANDLING OF AGGREGATED ONLINE CONTENT USING DECISION CRITERIA TO COMPARE SIMILAR OR IDENTICAL CONTENT ITEMS 有权
    使用决策标准检测和处理聚合的在线内容以比较类似或标识的内容项目

    公开(公告)号:US20160034581A1

    公开(公告)日:2016-02-04

    申请号:US14879676

    申请日:2015-10-09

    Inventor: Dai Duong Doan

    Abstract: A computer-implemented method is presented herein. The method obtains a first content item from an online source, and then generates a characterizing signature of the first content item. The method continues by finding a previously-saved instance of the characterizing signature and retrieving data associated with a second content item (the second content item is characterized by the characterizing signature). The method continues by analyzing the data associated with the second content item, corresponding data associated with the first content item, and decision criteria. Thereafter, either the first content item or the second content item is identified as an original content item, based on the analyzing. The other content item can be flagged as an aggregated content item.

    Abstract translation: 本文介绍了计算机实现的方法。 该方法从在线源获得第一内容项,然后生成第一内容项的特征签名。 该方法通过找到先前保存的特征签名的实例并检索与第二内容项相关联的数据(第二内容项由特征化签名来表征)继续。 该方法通过分析与第二内容项目相关联的数据,与第一内容项目相关联的对应数据以及决策标准来继续。 此后,基于分析,将第一内容项或第二内容项识别为原始内容项。 其他内容项目可以标记为聚合内容项目。

    Detection and handling of aggregated online content using decision criteria to compare similar or identical content items
    30.
    发明授权
    Detection and handling of aggregated online content using decision criteria to compare similar or identical content items 有权
    使用决策标准来检测和处理聚合的在线内容,以比较相似或相同的内容项

    公开(公告)号:US09191291B2

    公开(公告)日:2015-11-17

    申请号:US14021977

    申请日:2013-09-09

    Inventor: Dai Duong Doan

    Abstract: A computer-implemented method is presented herein. The method obtains a first content item from an online source, and then generates a characterizing signature of the first content item. The method continues by finding a previously-saved instance of the characterizing signature and retrieving data associated with a second content item (the second content item is characterized by the characterizing signature). The method continues by analyzing the data associated with the second content item, corresponding data associated with the first content item, and decision criteria. Thereafter, either the first content item or the second content item is identified as an original content item, based on the analyzing. The other content item can be flagged as an aggregated content item.

    Abstract translation: 本文介绍了计算机实现的方法。 该方法从在线源获得第一内容项,然后生成第一内容项的特征签名。 该方法通过找到先前保存的特征签名的实例并检索与第二内容项相关联的数据(第二内容项由特征化签名来表征)继续。 该方法通过分析与第二内容项目相关联的数据,与第一内容项目相关联的对应数据以及决策标准来继续。 此后,基于分析,将第一内容项或第二内容项识别为原始内容项。 其他内容项目可以标记为聚合内容项目。

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