Intelligent Customer Service Competition: Leveraging AI for Text Matching and Classification

Intelligent customer service, centered on artificial intelligence technology, has been widely applied in recent years, offering efficient, personalized user experiences while reducing labor costs for enterprises.

The essence of intelligent customer service is to fully understand user intent, accurately retrieve matching content from a knowledge base, and automatically answer questions; text matching and classification are the core technologies and also key challenges in natural language understanding.

Since 2017, 58.com has built an intelligent customer service system and has continuously focused on AI optimization and scenario expansion, now widely used in customer service, pre‑sale guidance, and other scenarios, improving efficiency and increasing revenue.

For this competition, a batch of real‑world data from 58’s intelligent customer service scenarios is provided, inviting participants to explore text‑matching problems and build precise models using state‑of‑the‑art NLP and AI techniques.

58 Technology supplies the competition tasks and the latest data, and welcomes participants to follow the event.

Detailed competition information is shown in the poster below:

Recommended reading:

Open‑source | qa_match: a deep‑learning based hierarchical QA matching tool

Open‑source | qa_match update – supports lightweight pre‑training, improves QA generalization

58 Tech Salon | Episode 11: Deep‑learning based automatic QA tool – qa_match open‑source project analysis

Salon Highlights | Deep‑learning based automatic QA tool – qa_match project live recap