Pay less attention to the behavior of users in the past and historical data for existing retrieval system problems, the author presents a geographical computing applications retrieval method based on user preferences. Under the background of geographic computing application retrieval, based on user preference model in internet information retrieval, analyze user searches for geographic computing applications history, and give full consideration to the impact of the last access time of geographical computing applications to determine user preferences, then extract user preference factor matrix and the time factor matrix, and calculate the most relevant geographic computing applications to the user’s query. The experiment result shows that this method can availably improve the user geographical computing application retrieval efficiency, and provide strong support for the optimization of geographical computing application retrieval.