Scaling out recommender system for digital libraries with MapReduce

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 7861 LNCS, Issue , 2013, Pages 40-47

  Chen, Lun Chi ^a   Kuo, Ping Jen ^a   Liao, I En ^a   Huang, Jyun Yao ^a  

^a NATIONAL CHUNG HSING UNIVERSITY   (Taiwan)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATIONAL COSTS; COMPUTATIONAL PROBLEM; E-COMMERCE APPLICATIONS; FILTERING ALGORITHM; HADOOP FRAMEWORKS; MAP-REDUCE; PERSONAL ONTOLOGY;

COLLABORATIVE FILTERING; DIGITAL LIBRARIES; ELECTRONIC COMMERCE; UBIQUITOUS COMPUTING;

RECOMMENDER SYSTEMS;

EID: 84883427724     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-38027-3_5     Document Type: Conference Paper

References (8)

1. Adomavicius, G., Tuzhilin, A.: Toward the Next Generation of Recommender Systems: A Survey of the State-of-the-Art and Possible Extensions. IEEE TKDE, 734-749 (2005)
2. Sarwar, B., Karypis, G., Konstan, J., Reidl, J.: Item-based collaborative filtering recommendation algorithms. In: Proceedings of the 10th International Conference on World Wide Web, pp. 285-295 (2001)
3. Avancini, H., Candela, L., Straccia, U.: Recommenders in a personalized, collaborative digital library environment. Journal of Intelligent Information Systems 28(3), 253-283(31) (2007)
4. Liao, I.-E., Liao, S.-C., Kao, K.-F., Harn, I.-F.: A Personal Ontology Model for Library Recommendation System. In: Sugimoto, S., Hunter, J., Rauber, A., Morishima, A. (eds.) ICADL 2006. LNCS, vol. 4312, pp. 173-182. Springer, Heidelberg (2006) (Pubitemid 46030776)
5. Liao, I.-E., Hsu, W.-C., Cheng, M.-S., Chen, L.-P.: A library recommender system based on a personal ontology model and collaborative filtering technique for English collections. The Electronic Library 28(3), 386-400 (2010)
6. Dean, J., Ghemawat, S.: MapReduce: simplified data processing on large clusters. ACM Communication 51(1), 107-113 (2008)
7. Lin, J.J.: Brute force and indexed approaches to pairwise document similarity comparisons with MapReduce. In: SIGIR 2009, pp. 155-162 (2009)
8. Elsayed, T., Lin, J., Oard, D.W.: Pairwise Document Similarity in Large Collections with MapReduce. In: Proc. HLT, pp. 265-268 (2008)