Design an E-Commerce Recommendation System from Browsing History

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Quick Overview

Design a large-scale recommendation system that uses users' browsing histories to rank products. Connect data and model choices to serving architecture, latency and throughput, evaluation, monitoring, failure modes, and iteration.

Design an E-Commerce Recommendation System from Browsing History

Company: Oracle

Role: Software Engineer

Category: ML System Design

Difficulty: medium

Interview Round: Onsite

Overview: Design a large-scale recommendation system that uses users' browsing histories to rank products. Connect data and model choices to serving architecture, latency and throughput, evaluation, monitoring, failure modes, and iteration.

Read the full Oracle Software Engineer interview experience this question came from

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Oracle
Jul 26, 2026
mediumSoftware EngineerOnsiteML System Design
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