基于场论的高精度信息检索研究

传统信息检索模型的信息获取准确率较低。针对该问题，提出一种基于场论的高精度信息检索模型，在考虑标引词之间相关性的前提下，以规范化标引词的数量作为文档信息量，构建一个文档信息场。该信息场以文档间相互作用的场力大小度量文档的相关性，由此得到更精确的检索结果。实验结果验证了该模型相对于同类模型的优越性。

Research of High Accuracy Information Retrieval Based on Field Theory

Traditional information retrieval model has the problem of low accuracy when obtaining the information. In order to solve the problem, this paper proposes a new information retrieval model based on field theory by analyzing the shortcomings of traditional information retrieval theory. By using the number of standardized index terms and taking account of the relation of index terms, a document information field is constructed, in the new field, the document relevance is computed by field force, so that the new model can get more accurate retrieval results than other models. Experimental results demonstrate its superiority.