The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.
A multi-criteria collaborative filtering recommender system for the tourism domain using Expectation Maximization (EM) and PCA–ANFIS
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Citations
Cites
Buhalis, D., & Law, R. (2008) · Tourism Management · doi:10.1016/j.tourman.2008.01.005 · Cited by 3,823 · cited 1×
“…paradigm shifts in this sector as discussed in many researches (Polo Peña et al. 2013, Chiu et al. 2009, Popescu and Grefenstette 2011, Morrison et al. 2001, Singh and Kasavana 2005, Connolly and Lee 2006, Pan et al. 2007, 2011, Buhalis and Law 2008, Xiang and Pan 2010, Buhalis and O’Connor 2005).”
BackgroundDefining the virtual tourist community: Implications for tourism marketing
Wang, Y., Yu, Q., & Fesenmaier, D. R. (2002) · Tourism Management · doi:10.1016/s0261-5177(01)00093-0 · Cited by 525
Werthner, H., & Ricci, F. (2004) · Communications of the ACM · doi:10.1145/1035134.1035141 · Cited by 458
A tourism recommender system based on collaboration and text analysis
LOH, S., LORENZI, F., SALDAÑA, R., & LICTHNOW, D. (2003) · Information Technology & Tourism · doi:10.3727/1098305031436980 · Cited by 111
Cited by
A Survey of Recommendation Systems: Recommendation Models, Techniques, and Application Fields
Ko, H., Lee, S., Park, Y., & Choi, A. (2022) · Electronics · doi:10.3390/electronics11010141 · Cited by 658
An Interactive Personalized Recommendation System Using the Hybrid Algorithm Model
Guo, Y., Wang, M., & Li, X. (2017) · Symmetry · doi:10.3390/sym9100216 · Cited by 36
Metadata
- Authors
- Nilashi, M., bin Ibrahim, O., Ithnin, N., & Sarmin, N. H.
- Venue
- Electronic Commerce Research and Applications
- Publisher
- Elsevier BV
- Published
- 2015-10
- Volume
- 14
- Issue
- 6
- Pages
- 542-562
- ISSN
- 1567-4223 (ISSN-L)
- OpenAlex
- W1130627218
- Cited by
- 220
- References
- 4
- FWCI
- 45.05
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: A multi-criteria collaborative filtering recommender system for the tourism domain using Expectation Maximization (EM) and PCA–ANFIS. https://app.cochat.ai/papers/10.1016/j.elerap.2015.08.004
- The paper
- Nilashi, M., bin Ibrahim, O., Ithnin, N., & Sarmin, N. H. (2015). A multi-criteria collaborative filtering recommender system for the tourism domain using Expectation Maximization (EM) and PCA–ANFIS. Electronic Commerce Research and Applications. https://doi.org/10.1016/j.elerap.2015.08.004
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
