Towards Intelligent and Adaptive Digital Library Services

被引:0
|
作者
Hasanj, Maruf [1 ]
Nantajeewarawat, Ekawit [2 ]
机构
[1] Shinawatra Univ, Sch Technol, Bangkok, Thailand
[2] Thammasat Univ, Sirindhorn Int l Inst Technol, Bangkok, Thailand
关键词
User Modelling; Recommender System; Collaborative Filtering; Interest-drift Modeling; Ontology-based Topic Inference; Digital library;
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
In this paper, we introduced a 3-Layer digital library architecture that facilitates intelligent and adaptive digital library services. We aimed at integrating DL contents with domain-ontology, user-profile and usage-pattern by means of intelligent algorithms and techniques. On top of an open-source digital library system, we developed required modules to capture and manipulate necessary data with the help of efficient techniques such as ontology-driven topic inference, collaborative filtering, single exponential smoothing, etc. We verified that our approach is capable of enhancing and adapting user profile dynamically with the help of ontology-driven topic inference and usage-pattern analysis. Usage pattern and content -based collaborative-filtering techniques are used in developing adaptive recommendation service. We also proposed a User Interest-Drift algorithm based on single exponential smoothing techniques. Our preliminary experimental results and exploratory analyses show that our approach has created positive user experience in a small digital library environment. Large scale deployment of the proposed digital library system along with further refinement of algorithms is also planned.
引用
收藏
页码:104 / +
页数:3
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