Improve and Optimize Query Recommendation System by MST Algorithm and its MapReduce Implementation
Jian Liang Meng, Da Wei Li · Applied Mechanics and Materials · 2014
Query recommendation as an important tool to enhance the user search efficiency has gradually become a hotspot. In the context of big data, using the MapReduce programming model, combined with distributed minimum spanning tree algorithm, a parallel query recommended method based on MapReduce was proposed in this paper. The final results show that the efficiency of query recommendation was greatly improved through parallel computing.