The invention relates to the technical field of recommendation engines, in particular to a personalized recommendation engine
system and method based on multiple Agents. According to the technical scheme, the personalized recommendation engine
system and method based on the multiple Agents comprise a content analysis module; compared with a traditional multi-Agent-based personalized recommendation engine
system, the multi-Agent-based personalized recommendation engine system has the advantages that a relatively fixed system architecture is often adopted, the
coupling degree between modules is relatively high, the flexibility and the expandability of the system are limited, meanwhile, a used personalized recommendation
algorithm may be relatively single, or although multiple algorithms are used, an effective
fusion mechanism is lacked, and the system is relatively low in cost. According to the personalized recommendation engine system based on the multiple Agents, a
modular design idea is adopted, so that each Agent can independently complete a specific task and can cooperatively work with other Agents, meanwhile, the
coupling degree between modules is reduced, the flexibility and expandability of the system are improved, and the user experience is improved. Therefore, the system can be customized and optimized according to different requirements and scenes.