Invention Grant
- Patent Title: Determining algorithmic multi-channel media attribution based on discrete-time survival modeling
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Application No.: US15454799Application Date: 2017-03-09
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Publication No.: US11222268B2Publication Date: 2022-01-11
- Inventor: Zhenyu Yan , Yang Wang , Arava Sai Kumar , Abhishek Pani
- Applicant: Adobe Inc.
- Applicant Address: US CA San Jose
- Assignee: Adobe Inc.
- Current Assignee: Adobe Inc.
- Current Assignee Address: US CA San Jose
- Agency: Keller Jolley Preece
- Main IPC: G06N5/02
- IPC: G06N5/02 ; G06N20/00 ; H04L29/08

Abstract:
The present disclosure relates to a media attribution system that improves multi-channel media attribution by employing discrete-time survival modeling. In particular, the media attribution system uses event data (e.g., interactions and conversions) to generate positive and negative conversion paths, which the media attribution system uses to train an algorithmic attribution model. The media attribution system also uses the trained algorithmic attribution model to determine attribution scores for each interaction used in the conversion paths. Generally, the attribution score for an interaction indicates the effect the interaction has in influencing a user toward conversion.
Public/Granted literature
- US20180260715A1 DETERMINING ALGORITHMIC MULTI-CHANNEL MEDIA ATTRIBUTION BASED ON DISCRETE-TIME SURVIVAL MODELING Public/Granted day:2018-09-13
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