Query recommendation algorithm based on text clustering search engine
Jinsheng Yuan, Cheng Chaoran · Computer Engineering and Applications Journal · 2012
Most of the researches on search engine based on text clustering doesn't provide a good solution for deep searching with small clusters.To solve this kind of problems,a query recommendation algorithm based on clustering is proposed.This algorithm improves the similarity formula utilizing the hierarchical clustering results generated by text clustering,then searches for the target clusters using the extracted key-words,processes the result set using K-median clustering algorithm for recommendation.All the processes are done offline to avoid online computing.The algorithm is proved effective by experiment.