Design and Implementation of Multi-Dimensional Dynamic Precise Recommendation Algorithms for Mobile E-Commerce Platform
Huili Xue, Mengliang Shao, HE Fen · Proceedings of the 2020 International Conference on Aviation Safety and Information Technology · 2020
The multi-dimensional dynamic accurate recommendation algorithm of mobile e-commerce platform is a recommendation algorithm based on "location + item + time". Through the filtering and filtering of the three most critical modules of location filtering, user filtering and time filtering, the final project with the highest overall score is recommended to users timely, appropriately, dynamically and intelligently. In the experiment, comparing the algorithm with item neighbor model and simple model, it is found that the RMSE value of multidimensional dynamic accurate recommendation algori-thm is 0.7642 minimum, the most accurate and the error is also minimum. Its accuracy, multidimensional, dynamic and noise reduction have been further improved and developed.