Title :
Tagging based evolving recommendation system for digital library system
Author :
Gupta, Punit ; Jha, Ravi Shankar
Author_Institution :
Dept. of Comput. Sci. Eng., Jaypee Univ. of Inf. Technol., Waknaghat, India
Abstract :
Recommendation systems are used to cluster the data and recommend the users with all related items to users. These systems have shown a great benefit in the field of e-commerce, which provide details of users with all related information. Many similar models are being proposed for information systems. But these models cannot be directly fitted into the field of digital library system to acquire the benefits of recommendation system. So to overcome this we have proposed a tagging based evolving recommendation system for a digital library management system for user and library administration.
Keywords :
digital libraries; recommender systems; digital library management system; e-commerce; information systems; library administration; tagging based evolving recommendation system; user administration; Books; Libraries; Market research; Recommender systems; Semantics; Tagging; Semantic; Tagging; digital library; recommendation system;
Conference_Titel :
Emerging Trends and Technologies in Libraries and Information Services (ETTLIS), 2015 4th International Symposium on
Conference_Location :
Noida
Print_ISBN :
978-1-4799-7999-8
DOI :
10.1109/ETTLIS.2015.7048187
