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公开(公告)号:US10824660B2
公开(公告)日:2020-11-03
申请号:US14950550
申请日:2015-11-24
Applicant: ADOBE INC.
Inventor: Kokil Jaidka , Prakhar Gupta , Sajal Rustagi , R. Kaushik
IPC: G06F16/35
Abstract: Techniques are provided for detecting new topics and themes and assigning new posts to existing topic and/or theme clusters in online community discussions. A post posted to an online community is received and a post feature vector representative of the post is created. The post is compared to a plurality of centroid feature vectors, each centroid feature vector being representative of a respective post cluster and associated with a theme. Upon determining that similarity between the post feature vector and one of a plurality of centroid feature vectors satisfies a minimum similarity threshold, the post is assigned to the post cluster of which the centroid feature vector is representative. Upon determining that similarity between the post feature vector and any of the plurality of centroid feature vectors is below the minimum similarity threshold, a new theme cluster is created and the post is assigned to the new theme cluster.
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公开(公告)号:US10657559B2
公开(公告)日:2020-05-19
申请号:US15164698
申请日:2016-05-25
Applicant: Adobe Inc.
Inventor: Moumita Sinha , Meghanath Macha Yadagiri , Kokil Jaidka , Niyati Chhaya
IPC: G06Q30/02
Abstract: Methods and systems for providing targeted marketing include using consumer-centric indices to identify users who are most conversant with marketing communications. In particular, one or more embodiments generate a model that indicates a probability of user interactions based on dynamic data. The dynamic data indicates a time to action for each user interaction with a marketing communication within an observation window. The model fits the dynamic data to a distribution and determines the parameters of the distribution. Using the parameters of the distribution, one or more embodiments calculate interest scores for users who have received marketing communications. One or more embodiments select a set of users as a target audience based on the interest scores and provide marketing communications to target audience.
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公开(公告)号:US10528652B2
公开(公告)日:2020-01-07
申请号:US16049384
申请日:2018-07-30
Applicant: Adobe Inc. , Neolane SAS
Inventor: Tanya Goyal , Kokil Jaidka , Frederic Mary
Abstract: A method for generating predictive insights for authoring messages is provided. The method includes receiving a message to be sent as an input. Key performance indicator (KPI) whose value is to be predicted for the message is identified from the input or marketing tool configuration. A plurality of feature vectors of the message are generated. KPI contributions for the plurality of feature vectors are determined using feature vectors of messages sent in past and tracked KPI values of the messages sent in past. The KPI contribution is a measure of contribution of feature vector to value of the KPI. Value of the KPI for the message is predicted by applying determined KPI contributions to the plurality of feature vectors. Apparatus for substantially performing the method as described herein is also provided.
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公开(公告)号:US10380155B2
公开(公告)日:2019-08-13
申请号:US15163531
申请日:2016-05-24
Applicant: Adobe Inc.
Inventor: Kokil Jaidka , Prakhar Gupta , Harvineet Singh , Iftikhar Ahamath Burhanuddin
Abstract: Natural language notification generation techniques and system are described. In an implementation, natural language notifications are generated to provide insight into alerts related to a metric, underlying causes of the alert from other metrics, and relationships of the metric to other metrics. In this way, a user may gain this insight in an efficient, intuitive, and time effective manner.
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公开(公告)号:US11803872B2
公开(公告)日:2023-10-31
申请号:US17319881
申请日:2021-05-13
Applicant: Adobe Inc.
Inventor: Kokil Jaidka , Sumit Shekhar
IPC: G06Q30/0242 , G06N20/00 , G06F16/245 , G06F16/22
CPC classification number: G06Q30/0242 , G06F16/2228 , G06F16/245 , G06N20/00
Abstract: Various embodiments are directed to assigning offers to marketing deliveries utilizing new features to describe offers in the marketing deliveries. Marketing deliveries can be described at a finer level to thus enhance the effectiveness of building and conducting marketing campaigns. The approaches facilitate matching content to recipients, predicting content performance, and measuring content performance after dispatching a marketing delivery.
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公开(公告)号:US20210264463A1
公开(公告)日:2021-08-26
申请号:US17319881
申请日:2021-05-13
Applicant: Adobe Inc.
Inventor: Kokil Jaidka , Sumit Shekhar
IPC: G06Q30/02 , G06N20/00 , G06F16/245 , G06F16/22
Abstract: Various embodiments are directed to assigning offers to marketing deliveries utilizing new features to describe offers in the marketing deliveries. Marketing deliveries can be described at a finer level to thus enhance the effectiveness of building and conducting marketing campaigns. The approaches facilitate matching content to recipients, predicting content performance, and measuring content performance after dispatching a marketing delivery.
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公开(公告)号:US11055735B2
公开(公告)日:2021-07-06
申请号:US15258909
申请日:2016-09-07
Applicant: Adobe Inc.
Inventor: Kokil Jaidka , Sumit Shekhar
IPC: G06Q30/02 , G06N20/00 , G06F16/245 , G06F16/22
Abstract: Various embodiments are directed to assigning offers to marketing deliveries utilizing new features to describe offers in the marketing deliveries. Marketing deliveries can be described at a finer level to thus enhance the effectiveness of building and conducting marketing campaigns. The approaches facilitate matching content to recipients, predicting content performance, and measuring content performance after dispatching a marketing delivery.
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公开(公告)号:US20190087838A1
公开(公告)日:2019-03-21
申请号:US16196784
申请日:2018-11-20
Applicant: ADOBE INC.
Inventor: Niyati Chhaya , Kokil Jaidka
Abstract: Embodiments of the present invention relate to a determination of a user's exclusiveness toward a particular brand. User-specific entities are extracted from social media content associated with a user. At least a portion of the user-specific entities are brand-related entities that are specifically relevant to a particular brand. These brand-related entities are analyzed with respect to the user-specific entities extracted from the social media content to determine a level of exclusivity of the user to the brand.
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