Outbrain Inc.

Carmel Bregman

Ronny Lempel

Roy Bass

Yaniv Gilad

Colin Doody

Daniel Sternlicht

Yaron Galai

Ido Tamir

Sonya Liberman

Sagiv Gurevitch

Danny Rosenstein

Elad Bar

Ilan Orlov

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.

User lifetime revenue allocation associated with provisioned content recommendations

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Ramat Gan, Israel

Carmel Bregman