基于查询与内容的文档表示模型

在信息检索中,文档表示模型的优劣是影响检索性能的重要因素之一.根据全信息理论,认识论信息是语法信息、语义信息和语用信息的三位一体.当前主流的文档表示模型主要利用语法和语义信息,造成语用信息的缺失,成为改善检索性能的瓶颈.该文提出了一种整合用户查询行为与文档内容的文档表示模型,将用户隐性反馈的语用信息和文档自身的语义、语法信息相结合,动态调整索引库关键词权重,从而提高信息检索的查全率和查准率.

Document Representation Model Based on Query and Content

In information retrieval,the quality of a document representation model is one of the important factors which affect retrieval performance.According to the comprehensive information theory,epistemology information is the trinity of syntactic information,semantic information and pragmatic information.The mainstream of document representation models at present primarily utilize syntactic and semantic information while are devoid of pragmatic information,which is the bottle-neck of retrieval performance improving.In this thesis,we present a document representation model based on users＇ query behavior and documents＇content,in which the pragmatic information from users＇ implicit feedback and the semantic and syntactic information from documents is integrated to dynamically regulate the key-weight of index database.This model can consequently improve recall and precision rate in information retrieval.