Research On Concept Lattice Based Personalized Information Retrieval

With the rapid development of Internet, the information on it increases in exponent. It has so huge contents and so many sorts that it may be the largest information resources in the world. How to search out ones' most interested contents and filter out those information demands irrelevant to users decides on whether we can utilize the huge information resources. It has been the focus questions of searching information on the web, and it is also the research goal of this paper.Since the document-term relation used in information retrieval can naturally be seen as a formal context of formal concept analysis (FCA), some research about studying information retrieval by concept lattice had been performed since the 80's. Nowadays, with the recent advances in the theory and practice of concept lattice, concept lattice has become even more appealing and practical for information retrieval.This paper introduces the main issues of web information retrieval and web information filtering including the hierarchy class of web information retrieval system, the structure of search engine, the system structure of information filtering, the characteristic and classification of filtering system, the relation between information retrieving and information filtering, the evaluation index of the system performance and so on.The main innovation contributions of this paper are listed below:1. After analyzing the user modeling technology that is the core technology ofpersonalized services, this paper points out the problems of the automatic user modeling technology. Aiming at the existing problems, this paper proposes an algorithm of concept lattice based user modeling. This paper also puts forward an algorithm of maintaining concept lattice based user model. The advantages of concept lattice based user-modeling algorithm are presented.2. After analyzing the concept lattice based ranking model (CLR), this paper points out the problems of it. Aiming at the existing problems, this paper proposes a concept lattice based personalized model (CLPR), which thinks over the information contained in the user query, the user interest model and the documents returned by search engine. The similarity computation of this model contains more information than the user query information of traditional information retrieval model and the user interest information of traditional information filtering model, and moreover, the concept lattice based personalized information retrieval model can identify the new interest of users and find the documents of new interest. The validity of the algorithm has been proved by simulation experiments.3. A Concept Lattice based Personalized System is designed and implemented in this paper. This paper also provides system implementation platform, overall design structure, interface design, database design and function design of this system, and describes all the key techniques applied in the system thoroughly.