2008The Journal of the Library Science in JiangxiRequires access

Research on the User Modeling in Adaptive Personalized Digital Library

Qianlei Zhang

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Abstract

Personalization is the main trend to improve the digital library services.Up to now,the most common approach for personalization in digital library has been user driven.This paper introduces a new user modeling and the adaptive digital library that satisfies user's necessity for information:automatically learning user preferences and goals by machine learning techniques and realizing the interaction between user and personalized digital library.

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What this paper is about

Personalization is the main trend to improve the digital library services.Up to now,the most common approach for personalization in digital library has been user driven.This paper introduces a new user modeling and the adaptive digital library that satisfies user's necessity for information:automatically learning user preferences and goals by machine learning techniques and realizing the interaction between user and personalized digital library.

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Available abstract

Personalization is the main trend to improve the digital library services.Up to now,the most common approach for personalization in digital library has been user driven.This paper introduces a new user modeling and the adaptive digital library that satisfies user's necessity for information:automatically learning user preferences and goals by machine learning techniques and realizing the interaction between user and personalized digital library.

Key concepts: Personalization, Digital library, User modeling, Computer science, World Wide Web, Digital transformation, User information, User profile

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