User lifetime revenue allocation associated with provisioned content recommendations

US10785332B2 · kind B2 · utility

Assignee

• Outbrain Inc. · US

Inventors

• Yaron Galai · New York, US
• Ido Tamir · Even Yehuda, IL
• Roy Bass · Herzliya, IL
• Colin Doody · New York, US
• Yaniv Gilad · New York, US
• Daniel Sternlicht · Netanya, IL
• Ronny Lempel · Haifa, IL
• Sagiv Gurevitch · Tenafly, US
• Carmel Bregman · Ramat Gan, IL
• Danny Rosenstein · Hod HaSharon, IL
• Sonya Liberman · Jerusalem, IL
• Elad Bar · Even Yehuda, IL
• Ilan Orlov · Givatayim, IL

Key dates

• Filing date: Oct 24, 2018
• Grant date: Sep 22, 2020
• Expiry date: Dec 7, 2038

Classification

• Technology area (CPC H): Electricity
• CPC primary: H04N21/4668
• WIPO field: Audio-visual technology
• WIPO sector: Electrical engineering

Abstract

A personalized content recommendation provisioning method and system are described, according to various implementations. A token value allocation engine optimizes the allocation of content consumption revenue to publisher systems and recommendation source systems (e.g., the systems that provide the recommended content for presentation with the publisher system's native content) based on a model calculating and applying a life time or long term value (LTV) metric. The LTV metric for revenue is based on a detection of a how often a user system engages with content derived from or associated with a publisher system.