Research in Search Engine User Behaviour Based on Cloud Computing
Pei Tang, Shanhong Zhu
Journal of Information Organization, Vol. 7, No. 4, 2017.
DOI: 
Link: http://www.dline.info/jio/fulltext/v7n4/jiov7n4_3.pdf
Abstract:
User behavior analysis is important for both Web information retrieval technologies and commercial search engine
algorithms. With the expansion of information data, the current search engine is facing some serious problems, such as limited
storage space and computing power. The paper discussed the shortcomings and technical bottlenecks of the current traditional
search engine. Then, in the understanding of search engine features and technical requirement, it improved the system
by means of the cloud computing architecture. With the combination of the static analysis of user behaviour and real-time
monitoring, real-time acquisition of Web log and user to access the context information of the page, the paper tested the whole
system performance in the laboratory environment, demonstrated the superiority of the system by analysis of experimental
data.