Text Content Tag Recommendation Algorithm Based on Knowledge Map Fusion Reasoning

Abstract

In order to improve the level of text content tag recommendation and information management, a design method of text content tag recommendation system based on knowledge map fusion reasoning is proposed. The designed system includes multimedia knowledge base text content tag database, intelligent scoring module, intelligent recommendation module, display module and so on. The fusion model of user type, multimedia knowledge base text content label information, knowledge base, database, information management system and text content label data information is established by the method of bottom database module construction. The intelligent scoring module is electrically connected with the multimedia knowledge base text content label database, and an intelligent scoring algorithm is designed to traverse the multimedia knowledge base text content label database query work. Set reverse intelligent recommendation module to realize feature extraction of multimedia knowledge base text content label information, traverse multimedia knowledge base text content label database, and electrically connect with intelligent recommendation module, adopt knowledge map fusion reasoning technology to realize intelligent optimization of text content label recommendation, build artificial intelligence scoring parameter structure model of text content label recommendation, score all knowledge base and information processing center nodes through intelligent scoring algorithm, and realize bidirectional intelligence of multimedia knowledge base text content label