DocumentCode
1815221
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
fYear
2015
fDate
6-8 Jan. 2015
Firstpage
139
Lastpage
142
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;
fLanguage
English
Publisher
ieee
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
Type
conf
DOI
10.1109/ETTLIS.2015.7048187
Filename
7048187
Link To Document