Design and Implementation of a Multidimensional Data Retrieval Sorting Optimization Model

Currently, how to accurately and quickly locate required information from the massive network data, especially from the current popular social network data, is the focus of data retrieval services. Based on the traditional data retrieval sorting technology, this paper proposes a multi-dimensional data retrieval sorting optimization model, considering the characteristics of data, users and applications. Meanwhile, this paper implements this model in the system of financial microblog data retrieval. It enables the retrieval system to sort the results according to the characteristics of the microblog data, users' real query intentions and financial tendency of the system. Finally, this paper shows the basic test results, and future researches are discussed.