Design and Implementation of Omega System's User Reach Center

Problem definition: In e‑commerce, dynamic requirements such as notifying users when a favorited item drops in price or prompting chat after browsing need real‑time behavior collection and precise user reach.

Omega system addresses this by providing three subsystems: behavior collection center, CEP rule engine, and user reach center.

System design: The logical architecture consists of three layers – behavior collection, EPL rule computation (using DSL to generate Flink jobs), and the user reach center that defines strategies and channels.

These layers are loosely coupled, can be offered as independent services, and are already used for user growth, gameplay, and security.

Reach process: The workflow is split into configurable nodes – receiving CEP results, routing actions, filtering actions via a chain of filters (black/white list, gray, fatigue), dispatching actions (push, SMS, external calls), and logging via a unified tracking protocol.

Detailed design of the user reach center emphasizes plug‑in architecture, minimal external dependencies (MQ communication), and clear module boundaries. It includes input data sources, material management, action routing, filter chain (responsibility‑chain pattern), action implementation (cloud and client side), and unified logging.

Effect verification shows significant improvements in targeting accuracy, sub‑second latency for promotional scenarios, and reduced development effort.

Future plans: Extend support for offline profile data, standardized data back‑flow analysis, and close the end‑to‑end data loop.