Recommendation system for web article based on association rules and topic modelling
Abstract
Keywords
Full Text:
PDFReferences
U. Gretzel, “Intelligent systems in tourism,†Ann. Tour. Res., vol. 38, no. 3, pp. 757–779, Jul. 2011 [Online]. Available: https://linkinghub.elsevier.com/retrieve/pii/S0160738311000776
O. Arbelaitz, I. Gurrutxaga, A. Lojo, J. Muguerza, J. M. Pérez, and I. Perona, “Web usage and content mining to extract knowledge for modelling the users of the Bidasoa Turismo website and to adapt it,†Expert Syst. Appl., vol. 40, no. 18, pp. 7478–7491, Dec. 2013 [Online]. Available: https://linkinghub.elsevier.com/retrieve/pii/S0957417413005198
D. Buhalis and R. Law, “Progress in information technology and tourism management: 20 years on and 10 years after the Internet—The state of eTourism research,†Tour. Manag., vol. 29, no. 4, pp. 609–623, Aug. 2008 [Online]. Available: https://linkinghub.elsevier.com/retrieve/pii/S0261517708000162
B. Pan and D. R. Fesenmaier, “Travel information search on the internet: a preliminary analysis.,†2003, pp. 242–251.
J. Borges and M. Levene, “Data Mining of User Navigation Patterns,†pp. 92–112, 2007.
A. S. Lalani, “Data Mining of Web Access Logs,MS Thesis,†pp. 1–70, 2003.
S. S. Rawat and L. Rajamani, “Discovering Potential User Browsing Behaviors Using Custom-Built Apriori Algorithm,†Int. J. Comput. Sci. Inf. Technol., vol. 2, no. 4, pp. 28–37, 2010.
B. Liu, Web Data Mining. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011 [Online]. Available: http://link.springer.com/10.1007/978-3-642-19460-3
M. Dimitrijevic and Z. Bosnjak, “Pruning statistically insignificant association rules in the presence of high-confidence rules in web usage data,†Procedia Comput. Sci., vol. 35, no. C, pp. 271–280, 2014 [Online]. Available: http://dx.doi.org/10.1016/j.procs.2014.08.107
R. Agrawal and R. Srikant, “Fast Algorithms for Mining Association Rules in Large Databases,†in Proceedings of the 20th International Conference on Very Large Data Bases, 1994, pp. 487–499 [Online]. Available: http://dl.acm.org/citation.cfm?id=645920.672836
E. Lazcorreta, F. Botella, and A. Fernández-Caballero, “Towards Personalized Recommendation by Two-step Modified Apriori Data Mining Algorithm,†Expert Syst. Appl., vol. 35, no. 3, pp. 1422–1429, 2008 [Online]. Available: http://dx.doi.org/10.1016/j.eswa.2007.08.048
D. M. Blei, “www.cs.princeton.edu/~blei/papers/Blei2012.pdf,†Cs.Princeton.Edu, pp. 77–84 [Online]. Available: http://www.cs.princeton.edu/~blei/papers/Blei2012.pdf%5Cnpapers2://publication/uuid/228B8D31-9CA0-447B-A144-3D6B0EA97493
O. Arbelaitz, I. Gurrutxaga, A. Lojo, J. Muguerza, J. M. Pérez, and I. Perona, “Enhancing a Web Usage Mining based Tourism Website Adaptation with Content Information.â€
M. Zanker, M. Fuchs, W. Höpken, M. Tuta, and N. Müller, “Evaluating Recommender Systems in Tourism — A Case Study from Austria,†2008, pp. 24–34.
J. Vellingiri and S. C. Pandian, “A Survey on Web Usage Mining,†Glob. J. Comput. Sci. Technol., vol. 11, no. 4, pp. 67–72, 2011.
Sunil and M. Doja, Recommender System Based on Web Usage Mining for Personalized E-learning Platforms, vol. 5. 2017.
D. M, A. G. M. Erwin, and N. D, “2013, News Recommendation in Indonesian Language Based on User Click Behaviour.â€
N. More and N. P. More, “Recommendation of Books Using Improved Apriori Algorithm,†Int. J. Innov. Res. Sci. Technol, vol. 1, no. 4, pp. 80–82, 2014.
H. . Husin, “News Recommendation Based on Web Usage and Web Content Mining,†in ICDE Workshops, 2013.
N. Dave, K. Potts, V. Dinh, and H. U. Asuncion, “Combining association mining with topic modeling to discover more file relationships,†Int. J. Adv. Softw., vol. 7, no. 3, pp. 3–4, 2014.
DOI: http://dx.doi.org/10.26555/jifo.v12i2.a12629
Refbacks
- There are currently no refbacks.
Copyright (c) 2018
![Creative Commons License](http://i.creativecommons.org/l/by-sa/4.0/88x31.png)
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
____________________________________
JURNAL INFORMATIKA
ISSN :Â 1978-0524 (print) | 2528-6374 (online)
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.