Bilibili Video Recommendation

Example Use Cases

• 1

  Recommend high-quality Bilibili videos based on multiple evaluation criteria.

• 2

  Crawl and analyze Bilibili video data for personalized recommendations.

• 3

  Perform intelligent video search and filtering within Bilibili content.

Description

This MCP server implements a multi-criteria video recommendation system for Bilibili videos based on the Analytic Hierarchy Process (AHP). It features video data crawling, multi-dimensional evaluation, intelligent search and filtering, and persistent storage of recommendation results. The system benefits users by delivering high-quality, personalized video recommendations through a structured and data-driven approach.