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    Optimization of send time of messages
    2.
    发明授权
    Optimization of send time of messages 有权

    公开(公告)号：US11341516B2

    公开(公告)日：2022-05-24

    申请号：US16877385

    申请日：2020-05-18

    Applicant: Adobe Inc.

    Inventor： Xinyue Liu ,  Suofei Wu ,  Chang Liu ,  Jun He ,  Zhenyu Yan ,  Wuyang Dai ,  Shengyun Peng

    IPC: G06Q30/02 ,  H04L51/56 ,  G06Q10/10

    Abstract: Introduced here are approaches for identifying the optimal send time for messages by accounting for hidden confounders, such as the content of those messages, delivery channel, etc. These approaches use a causal inference framework to discover and then remove the impact of hidden confounders. These approaches may be employed by a marketing and analytics platform (or simply “marketing platform”) that may be used to design, implement, or review digital marketing campaigns. The marketing platform can consider the send time as a treatment and then employ machine learning (ML) models that consider the send time, features of the recipient, and hidden confounders to produce a ranked series of send times with the effect of the hidden confounders marginalized. Approaches to performing offline evaluations that mimic A/B tests using data related to existing field experiments are also introduced here.

    UTILIZING A RECOMMENDATION SYSTEM APPROACH TO DETERMINE ELECTRONIC COMMUNICATION SEND TIMES
    3.
    发明申请
    UTILIZING A RECOMMENDATION SYSTEM APPROACH TO DETERMINE ELECTRONIC COMMUNICATION SEND TIMES 有权

    公开(公告)号：US20210075875A1

    公开(公告)日：2021-03-11

    申请号：US16564768

    申请日：2019-09-09

    Applicant: Adobe Inc.

    Inventor： Xinyue Liu ,  Jun He ,  Zhenyu Yan ,  Wuyang Dai ,  Abhishek Pani

    IPC: H04L29/08 ,  G06F16/2457 ,  G06N3/04 ,  G06N3/08

    Abstract: The present disclosure relates to systems, methods, and non-transitory computer readable media for determining send times for distributing digital content to client devices utilizing a recommendation system approach. For example, the disclosed systems can utilize a recommendation system model such as a matrix factorization model, a factorization machine model, and/or a neural network to implement collaborative filtering to generate predicted response rates for particular candidate send times. Based on the predicted response rates indicating likelihoods of receiving responses for particular send times, the disclosed system can generate a distribution schedule to provide electronic communications at one or more of the send times.

    UTILIZING A BAYESIAN APPROACH AND MULTI-ARMED BANDIT ALGORITHMS TO IMPROVE DISTRIBUTION TIMING OF ELECTRONIC COMMUNICATIONS
    4.
    发明申请
    UTILIZING A BAYESIAN APPROACH AND MULTI-ARMED BANDIT ALGORITHMS TO IMPROVE DISTRIBUTION TIMING OF ELECTRONIC COMMUNICATIONS 审中-公开

    公开(公告)号：US20200311487A1

    公开(公告)日：2020-10-01

    申请号：US16371460

    申请日：2019-04-01

    Applicant: Adobe Inc.

    Inventor： Jun He ,  Zhenyu Yan ,  Yi-Hong Kuo ,  Wuyang Dai ,  Shiyuan Gu ,  Abhishek Pani

    IPC: G06K9/62 ,  G06F17/27 ,  G06N7/00

    Abstract: The present disclosure relates to systems, methods, and non-transitory computer readable media for determining send times to provide electronic communications based on predicted response rates by utilizing a Bayesian approach and multi-armed bandit algorithms. For example, the disclosed systems can generate predicted response rates by training and utilizing one or more response rate prediction models to generate a weighted combination of user-specific response information and population-specific response information. The disclosed systems can further utilize a Bayes upper-confidence-bound send time model to determine send times that are more likely to elicit user responses based on the predicted response rates and further based on exploration and exploitation considerations. In addition, the disclosed systems can update the response rate prediction models and/or the Bayes upper-confidence-bound send time model based on providing additional electronic communications and receiving additional responses to modify model weights.

    Survival Analysis Based Classification Systems for Predicting User Actions
    5.
    发明申请
    Survival Analysis Based Classification Systems for Predicting User Actions 审中-公开

    公开(公告)号：US20200065713A1

    公开(公告)日：2020-02-27

    申请号：US16112546

    申请日：2018-08-24

    Applicant: Adobe Inc.

    Inventor： Xiang Wu ,  Zhenyu Yan ,  Yi-Hong Kuo ,  Wuyang Dai ,  Julia Viladomat Comerma ,  Abhishek Pani

    IPC: G06N99/00

    Abstract: Techniques and systems are described that employ survival analysis and classification to predict occurrence of future events by a digital analytics system. Survival analysis involves modeling time to event data. Survival analysis is used by digital analytics systems to analyze an expected duration of time until an event happens. In the techniques described herein, survival analysis is employed as part of a classification technique by a digital analytics system. In one example, a digital analytics system generates training data from a dataset in accordance with a survival analysis technique such that, after generated, the training data is usable to train a classification model.

    Multi-objective electronic communication frequency optimization
    6.
    发明授权
    Multi-objective electronic communication frequency optimization 有权

    公开(公告)号：US12229804B2

    公开(公告)日：2025-02-18

    申请号：US17366910

    申请日：2021-07-02

    Applicant: ADOBE INC.

    Inventor： Lei Zhang ,  Lijun Yu ,  Jun He ,  Zhenyu Yan ,  Wuyang Dai

    IPC: G06Q30/02 ,  G06Q30/0272

    Abstract: Methods and systems are provided for improved electronic communication campaign technologies, which can automatically balance objectives or goals of an electronic communication campaign against an overall opt-out rate for the electronic communication campaign. An electronic communications frequency optimizer can generate individual contact frequencies for individual email recipients. Embodiments can avoid unnecessary or counterproductive communications while achieving overall campaign goals, and can use processes to improve the efficiency of systems. In some cases, embodiments cluster communication recipients into different groups based on their past actions, then optimizes the communication contact frequency on different groups, to avoid performing optimization directly on millions of recipients. Some embodiments automatically self-update, for example with recipients' recent responses, to generate and/or implement campaign communication schedules on an individual level.

    UTILIZING A GENETIC ALGORITHM IN APPLYING OBJECTIVE FUNCTIONS TO DETERMINE DISTRIBUTION TIMES FOR ELECTRONIC COMMUNICATIONS
    8.
    发明申请
    UTILIZING A GENETIC ALGORITHM IN APPLYING OBJECTIVE FUNCTIONS TO DETERMINE DISTRIBUTION TIMES FOR ELECTRONIC COMMUNICATIONS 审中-公开

    公开(公告)号：US20200327419A1

    公开(公告)日：2020-10-15

    申请号：US16384558

    申请日：2019-04-15

    Applicant: Adobe Inc.

    Inventor： Lei Zhang ,  Jun He ,  Zhenyu Yan ,  Wuyang Dai ,  Abhishek Pani

    IPC: G06N3/08 ,  G06F17/18 ,  G06N3/10

    Abstract: The present disclosure relates to systems, methods, and non-transitory computer readable media for generating a target distribution schedule for providing electronic communications based on predicted behavior rates by utilizing a genetic algorithm and one or more objective functions. For example, the disclosed systems can generate predicted behavior rates by training and utilizing one or more behavior prediction models. Based on the predicted behavior rates, the disclosed systems can further utilize a genetic algorithm to apply objective functions to generate one or more candidate distribution schedules. In accordance with the genetic algorithm, the disclosed systems can select a target distribution schedule for a particular user/client device. The disclosed systems can thus provide one or more electronic communications to individual users based on respective target distribution schedules.

    ACTIONABLE KPI-DRIVEN SEGMENTATION
    9.
    发明申请
    ACTIONABLE KPI-DRIVEN SEGMENTATION 审中-公开

    公开(公告)号：US20200151746A1

    公开(公告)日：2020-05-14

    申请号：US16191289

    申请日：2018-11-14

    Applicant: ADOBE INC.

    Inventor： Xiang Wu ,  Zhenyu Yan ,  Yi-Hong Kuo ,  Wuyang Dai ,  Polina Bartik ,  Abhishek Pani

    IPC: G06Q30/02 ,  G06Q10/06 ,  G06F17/16

    Abstract: An improved analytics system generates actionable KPI-based customer segments. The analytics system determines predicted outcomes for a key performance indicator (KPI) of interest and a contribution value for each variable indicating an extent to which each variable contributes to predicted outcomes. Topics are generated by applying a topic model to the contribution values for the variables. Each topic comprises a group of variables with a contribution level for each variable that indicates the importance of each variable to the topic. User segments are generated by assigning each user to a topic based on attribution levels output by the topic model.

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