Construction of medical library recommendation system based on AIS algorithm and lambda
This paper proposes an intelligent recommendation system for medical libraries based on Artificial Immune System(AIS)algorithm and Lambda architecture.The system constructs a user interest model by extracting the user's browsing history,reading habits and other features.Then it generates personalized recommendation results based on the immune clone selection mechanism of the AIS algorithm.Meanwhile,the system adopts Lambda architecture to realize the real-time recommendation function.The experiment re-sults show that compared with the recommendation system based on collaborative filtering,the recommenda-tion precision of this system can reach 73％,and the recall rate reaches 72％.The delay of real-time rec-ommendation is in milliseconds,which meets the real-time demand of library users.This system provides users with timely and personalized medical library recommendation services,and improves library utilization and reader satisfaction.
AIS algorithmLambda architectureintelligent recommendation system for medical librariesmodel trainingpersonalized recommendations
万方数据
维普
