公开(公告)号：US20160328401A1

公开(公告)日：2016-11-10

申请号：US14703889

申请日：2015-05-05

Applicant: Adobe Systems Incorporated

Inventor： Anmol Dhawan ,  Walter Wei-Tuh Chang ,  Ashish Duggal ,  Sachin Soni

IPC: G06F17/30

CPC classification number: G06F17/30867

Abstract: A method for recommending hashtags includes determining keywords from a post planned for publishing by a publisher. An input criteria comprising at least one of age group, geographical location, date range, or a keyword is received. Previous posts associated with the keywords and satisfying the input criteria are obtained. The previous posts are categorized into one or more categories based on sentiment of each post and for each category hashtags used in the obtained previous posts in that category are determined. The hashtags are ranked based on predefined criteria comprising at least one of frequency of appearance of respective hashtag in posts, number of likes or shares or retweets of post comprising respective hashtag, number of followers of person who used respective hashtag, or sentiment of post comprising respective hashtag. The hashtags are then recommended, based on ranking, to the publisher for use with the post planned for publishing.

Abstract translation: 推荐主题标签的方法包括从发布者计划发布的帖子中确定关键字。 接收包括年龄组，地理位置，日期范围或关键字中的至少一个的输入标准。 获得与关键字相关联并满足输入条件的上一个帖子。 以前的帖子根据每个帖子的情绪分为一个或多个类别，并确定在该类别中获取的上一个帖子中使用的每个类别标签。 所述主题标签基于预定义的标准来排序，所述预定义标准包括在帖子中的相应主题标签的出现频率，喜好或者分享的数量，或者分别包括各个主题标签的人物的数量，或使用各自的主题标签的人的追随者的数量， 各自的主题标签 然后，根据排名，推荐将标签与发布商一起用于计划发布的帖子。

公开(公告)号：US20160261701A1

公开(公告)日：2016-09-08

申请号：US14638737

申请日：2015-03-04

Applicant: Adobe Systems Incorporated

Inventor： Anmol Dhawan ,  Walter W. Chang ,  Sachin Soni ,  Ashish Duggal

IPC: H04L29/08 ,  H04L12/26

CPC classification number: H04L67/22 ,  G06F17/2705 ,  G06F17/2765 ,  G06F17/2785 ,  H04L67/02 ,  H04N19/436 ,  H04N19/44 ,  H04N19/625 ,  H04N19/91 ,  H04N19/93

Abstract: The present disclosure is directed toward systems and methods for analyzing user-specific information and determining content within one or more web pages that has been experienced by one or more users. Furthermore, the present disclosure is directed toward identifying and providing actionable data based on keywords experienced by one or more users.

Abstract translation: 本公开涉及用于分析用户特定信息并确定一个或多个用户经历的一个或多个网页内的内容的系统和方法。 此外，本公开旨在基于一个或多个用户经历的关键字来识别和提供可操作的数据。

公开(公告)号：US20160140627A1

公开(公告)日：2016-05-19

申请号：US14541334

申请日：2014-11-14

Applicant: Adobe Systems Incorporated

Inventor： Stéphane Moreau ,  Ashish Duggal ,  Sachin Soni ,  Anmol Dhawan

IPC: G06Q30/02

CPC classification number: G06Q30/0282 ,  G06Q30/0203

Abstract: Systems and methods for generating high quality leads for marketing campaigns are disclosed. One disclosed method assigns scores to users in order to facilitate selection of which users will receive electronic marketing communications. The method includes identifying, by a marketing system, a target product for the marketing campaign. The method further includes collecting, by a sentiment engine configured to determine sentiments of referral sources, a referral context and a degree of sentiment from a referral source referring a user to a web page associated with the product. The method also includes determining time spent by the user on the web page and the user's interactions with the web page, and then assigning a score to the user based at least in part on the time spent by the user on the web page and the user's interactions with the web page.

Abstract translation: 公开了产生高质量线索进行营销活动的系统和方法。 一种公开的方法为用户分配分数，以便于选择哪些用户将接收电子营销通信。 该方法包括通过营销系统识别营销活动的目标产品。 所述方法还包括通过被配置为确定推荐来源的情绪的情感引擎收集参考用户引用与上述产品相关联的网页的推荐来源的推荐上下文和情绪程度。 该方法还包括确定用户在网页上花费的时间以及用户与网页的交互，然后至少部分地基于用户在网页上花费的时间和用户的网页向用户分配评分 与网页的互动。