Study on Application of Document Representation Model Based on Query and Content Information in Website Search Engine
- Resource Type
- Conference
- Authors
- Zhou, Zuo; Jiang, Hui; Ma, Jia-yu; Yang, Xiao-hua
- Source
- 2010 International Conference on Web Information Systems and Mining Web Information Systems and Mining (WISM), 2010 International Conference on. 1:297-302 Oct, 2010
- Subject
- Communication, Networking and Broadcast Technologies
Computing and Processing
Search engines
Data models
Pragmatics
Feature extraction
Semantics
Syntactics
Information Retrieval
Document Representation Model
Implicit Feedback
Website Search Engine
- Language
We have proposed a document representation model based on query and content, this model uses users’ query behavior and content information of documents for representing document. The pragmatic information from users’ implicit feedback and the semantic and syntactic information from documents are integrated to dynamically regulate the term-weight of index database. In this paper, our document representation model is applied to website search engine and the key parameters of this model are determined by experiments. The results show that this model can consequently improve precision ratio in information retrieval.