A Hybrid Book Recommender System Based on Table of Contents (ToC) and Association Rule Mining-Reference-Cited by-同舟云学术

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

Published:2016 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 10th International Conference on Informatics and Systems - INFOS '16
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Author:

Ali Zafar¹,Khusro Shah¹,Ullah Irfan¹

Affiliation:

1. Department of Computer Science, University of Peshawar, Peshawar, Pakistan

Publisher

ACM Press

Reference23 articles.

1. Almazro, D., Shahatah, G., Albdulkarim, L., Kherees, M., Martinez, R., and Nzoukou, W., 2010. A survey paper on recommender systems. arXiv preprint arXiv:1006.5278.

2. Balabanovi, M., #263, and Shoham, Y., 1997. Fab: content-based, collaborative recommendation. Commun. ACM 40, 3, 66--72. DOI= http://dx.doi.org/10.1145/245108.245124.

3. Burke, R., 2002. Hybrid recommender systems: Survey and experiments. User modeling and user-adapted interaction 12, 4, 331--370.

4. Chandak, M., Girase, S., and Mukhopadhyay, D., 2015. Introducing Hybrid Technique for Optimization of Book Recommender System. Procedia Computer Science 45, 23--31.

5. Garrido, A.L., Soledad Pera, M., and Ilarri, S., 2014. SOLE-R: A Semantic and Linguistic Approach for Book Recommendations. In 2014 IEEE 14th International Conference on Advanced Learning Technologies (ICALT), 524--528. DOI= http://dx.doi.org/10.1109/icalt.2014.155.

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