A Hybrid Book Recommender System Based on Table of Contents (ToC) and Association Rule Mining

被引：20

作者：

Ali, Zafar ^{[1
]}

Khusro, Shah ^{[1
]}

Ullah, Irfan ^{[1
]}

机构：

[1] Univ Peshawar, Dept Comp Sci, Peshawar 25120, Pakistan

来源：

INTERNATIONAL CONFERENCE ON INFORMATICS AND SYSTEMS (INFOS 2016) | 2016年

关键词：

Book recommender system; collaborative filtering; content-based filtering; association rule mining;

D O I：

10.1145/2908446.2908481

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Recommender systems are used to access appropriate items and information by personalized suggestions based on user previous preferences and their likes & dislikes. These systems are used in different domains including products, videos, images, articles, news and books. Several recommender systems have been designed for recommending books. However, the available book recommenders face several issues in making relevant book recommendations because most of these do not take into account the book contents at deeper level and process only the mere descriptions about books on web pages along with metadata and other rating information. In order to cope with this issue, we present a hybrid book recommender that recommends books by using book table of contents (TOC) along with association rule mining and opinions of similar users.

引用

页码：68 / 74

页数：7

共 23 条

[1]

Almazro D., 2010, A survey paper on recommender systems

[2]

[Anonymous], 2001, WWW, DOI 10.1145/371920.372071

[3]

[Anonymous], P REC SYST PAP 1998

[4] Fab: Content-based, collaborative recommendation [J].

Balabanovic, M ;

Shoham, Y .

COMMUNICATIONS OF THE ACM, 1997, 40 (03) :66-72

[5] Hybrid recommender systems: Survey and experiments [J].

Burke, R .

USER MODELING AND USER-ADAPTED INTERACTION, 2002, 12 (04) :331-370

[6] Introducing Hybrid Technique for Optimization of Book Recommender System [J].

Chandak, Manisha ;

Girase, Sheetal ;

Mukhopadhyay, Debajyoti .

INTERNATIONAL CONFERENCE ON ADVANCED COMPUTING TECHNOLOGIES AND APPLICATIONS (ICACTA), 2015, 45 :23-31

[7] SOLE-R, a Semantic and Linguistic Approach for Book Recommendations [J].

Garrido, Angel L. ;

Pera, Maria Soledad ;

Ilarri, Sergio .

2014 14TH IEEE INTERNATIONAL CONFERENCE ON ADVANCED LEARNING TECHNOLOGIES (ICALT), 2014, :524-+

[8]

Jomsri P, 2014, 2014 FOURTH INTERNATIONAL CONFERENCE ON INNOVATIVE COMPUTING TECHNOLOGY (INTECH), P130, DOI 10.1109/INTECH.2014.6927766

[9]

Khusro S., 2016, Information Science and Applications (ICISA) 2016, P1179, DOI [DOI 10.1007/978-981-10-0557-2_112, 10.1007/978-981-10-0557-2_112]

[10] Amazon.com recommendation - Item-to-item collaborative filtering [J].

Linden, G ;

Smith, B ;

York, J .

IEEE INTERNET COMPUTING, 2003, 7 (01) :76-80

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