Invention Grant
- Patent Title: Dynamic rule allocation for visitor identification
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Application No.: US16103081Application Date: 2018-08-14
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Publication No.: US10432738B2Publication Date: 2019-10-01
- Inventor: Nedim Lipka
- Applicant: ADOBE INC.
- Applicant Address: US CA San Jose
- Assignee: Adobe, Inc.
- Current Assignee: Adobe, Inc.
- Current Assignee Address: US CA San Jose
- Agency: Shook, Hardy & Bacon, LLP
- Main IPC: G06F15/173
- IPC: G06F15/173 ; H04L29/08

Abstract:
Embodiments of the present invention relate to identifying website visitors. Initially, a predictor is trained with a set of data of known website visitors to identify a rule with the highest effectiveness score. To do so, each rule in a set of rules is applied to all cookies in the set of data. Based on a selected goal of identifying unknown website visitors, the rule with the highest effectiveness score is identified. To identify a cookie of an unknown website visitor, a cookie representation corresponding to the cookie is identified. The cookie representation represents the cookie as an n-dimensional vector of features and is computed using hit statistics for various aspects of the cookie. Utilizing the cookie representation, a cookie-stitching rule is selected and applied to the cookie. In this way, a website visitor associated with the cookie can be identified.
Public/Granted literature
- US20190007509A1 DYNAMIC RULE ALLOCATION FOR VISITOR IDENTIFICATION Public/Granted day:2019-01-03
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