Content Compliance Domain Overview and Technical Solutions for Price Governance

The compliance domain acts as an "immune system" for e‑commerce platforms, identifying malicious products, merchants, and user‑generated content to maintain a healthy, orderly, and sustainable ecosystem. Our team builds a leading content understanding and review platform that reduces audit costs, improves operational efficiency, and safeguards user experience.

From the user perspective, common problems include extreme price discrepancies (e.g., a 1‑cent item with high shipping fees), counterfeit goods, misleading promotional images, delayed delivery of the main product, and cluttered search results. These issues are continuously addressed by the compliance team.

From the business perspective, our responsibilities are threefold: (1) auditing merchants and products across product, price, and service dimensions to detect malicious behavior; (2) verifying product information such as images, titles, and categories for accuracy and consistency; (3) reviewing short videos and live streams for safety, compliance, and quality.

The compliance scenario is highly adversarial. We must constantly enhance detection capabilities, penalize violators, and provide pre‑check suggestions without disrupting legitimate merchants. Balancing user experience, merchant efficiency, and platform cost requires a comprehensive governance mechanism and a set of core metrics, including user complaint rate, merchant appeal rate, and platform audit cost/fines.

Technical case: price governance. To detect price inflation, we compare internal and external price baselines, building a comparable‑price model that uses same‑product or similar‑product identification as input features, trained on manually labeled data to improve precision.

We also construct a large‑scale price prediction model using historical transaction data to define reasonable price intervals and create a price‑anchor dataset. The model outputs predicted prices and confidence scores, as illustrated by the distribution chart of a product group.

Merchant outreach leverages the model as a funnel, combined with business rules to select violators and provide targeted warnings and guidance for reasonable pricing. This approach enables rapid, category‑wide coverage of price‑inflation cases while maintaining high precision for merchant governance.

Personal growth advice: stay abreast of AIGC, NLP, and computer‑vision advances for content understanding and review, while deepening business insight to translate technical innovations into practical solutions. Cultivate a flexible “weapon library,” maintain sensitivity to user needs, and continuously refine data‑driven problem‑solving frameworks to enhance both business value and personal development.