Research Article Open Access

Interest-based Recommendation in Digital Library

Yan Yang and Jian Zhong Li


With the huge amount and large variety of information available in a digital library, it’s becoming harder and harder for users to identify and get hold of their interested documents. To alleviate the difficulty, personalized recommendation techniques have been developed. Current recommendation techniques rely on similarity between documents. In our work, recommendations are made based on three factors: similarity between documents, information amount, and information novelty. With the introduction of degree of interest, users’ interests can be better characterized. Theoretical analysis and experimental evaluations demonstrate that our techniques can improve both the recommendation recall and recommendation precision.

Journal of Computer Science
Volume 1 No. 1, 2005, 40-46


Submitted On: 19 October 2005 Published On: 31 March 2005

How to Cite: Yang, Y. & Li, J. Z. (2005). Interest-based Recommendation in Digital Library. Journal of Computer Science, 1(1), 40-46.

  • 21 Citations



  • Digital Library
  • Personalization
  • Recommendation
  • Degree of Interest