Recommender system based on data mining: Interlibrary case study

Author

Jalalimanesh, Ammar ; Mansoury, Masoud ; Gandomi, Hadi

Author_Institution

Inf. Eng. Dept., Iranian Res. Inst. for Inf. Sci. & Technol., Tehran, Iran

fYear

2012

fDate

15-17 May 2012

Firstpage

806

Lastpage

809

Abstract

This paper introduces architecture for recommender system in domain of interlibrary services. The system works based on rules that was extracted from historical usage logs by the aid of data mining techniques. The paper also describes experimental results of pilot implementation of system for Ghadir project (resource sharing program in Iran). The pilot design and implementation phases were data gathering, pre-processing and warehousing, data mining and association rules extraction that all were described in the paper. The logs of 10 years usage of Ghadir project were processed and stored in data warehouse. Then CLOPE algorithm was applied on data to cluster users. After that decision tree technique was used for rule extraction.

Keywords

data mining; data warehouses; decision trees; interlibrary loan; pattern clustering; recommender systems; CLOPE algorithm; Ghadir project; Iran; association rules extraction; data gathering; data mining techniques; data preprocessing; data warehousing; decision tree technique; historical usage logs; interlibrary case study; interlibrary services; recommender system; resource sharing program; user clustering; Bibliographies; Cities and towns; Data mining; Data models; Databases; Graphical user interfaces; Internet; Recommender system; association rule; data mining; decision tree; interlibrary services;

fLanguage

English

Publisher

ieee

Conference_Titel

Electrical Engineering (ICEE), 2012 20th Iranian Conference on

Conference_Location

Tehran

Print_ISBN

978-1-4673-1149-6

Type

conf

DOI

10.1109/IranianCEE.2012.6292464

Filename

6292464