ScholarLens Back to search
2010•Advanced materials researchOpen access

Personalized Intelligent Information Retrieval Entrance Mechanism

Shudong Zhang, Yan Chen, Bei Bei Gao

Open full text 0 citations

Abstract

In order to solve the problems of difficulties and differences in expression existed in traditional information retrieval, this paper presents a personalized intelligent information retrieval entrance mechanism based on domain ontology, which takes full account of various types of users' domain knowledge level and provide relevant retrieval methods for guiding personalized information, makes all kinds of users in a particular query environment can fully and effectively express their queries intentions.

About this research paper

What this paper is about

In order to solve the problems of difficulties and differences in expression existed in traditional information retrieval, this paper presents a personalized intelligent information retrieval entrance mechanism based on domain ontology, which takes full account of various types of users' domain knowledge level and provide relevant retrieval methods for guiding personalized information, makes all kinds of users in a particular query environment can fully and effectively express their queries intentions.

Why it matters

A significance statement is not available in the OpenAlex record.

Key contribution

A contribution statement is not available in the OpenAlex record.

Method / approach

Method details are not available in the OpenAlex metadata.

Main findings

Findings are not separately available in the OpenAlex metadata.

Limitations

Limitations are not available in the OpenAlex metadata.

Applications

Application details are not available in the OpenAlex metadata.

Available abstract

In order to solve the problems of difficulties and differences in expression existed in traditional information retrieval, this paper presents a personalized intelligent information retrieval entrance mechanism based on domain ontology, which takes full account of various types of users' domain knowledge level and provide relevant retrieval methods for guiding personalized information, makes all kinds of users in a particular query environment can fully and effectively express their queries intentions.

Key concepts: Computer science, Ontology, Information retrieval, Mechanism (biology), Domain (mathematical analysis), Cognitive models of information retrieval, Order (exchange), Human–computer information retrieval

Related papers

Related paper 1Related paper 2Related paper 3
Back to paper searchBrowse research topicsOriginal source
Personalized Intelligent Information Retrieval Entrance Mechanism — Research Paper | ScholarLens