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Export Reference (APA) 
Dias, J. G. & Vermunt, J. K. (2007). Latent class modeling of website users' search patterns. Implications for online market segmentation. Journal of Retailing and Consumer Services . 14 (6), 359-368
Export Reference (IEEE) 
J. M. Dias and J. K. Vermunt,  "Latent class modeling of website users' search patterns. Implications for online market segmentation", in Journal of Retailing and Consumer Services , vol. 14, no. 6, pp. 359-368, 2007
Export BibTeX 
@article{dias2007_1765605373749,
	author = "Dias, J. G. and Vermunt, J. K.",
	title = "Latent class modeling of website users' search patterns. Implications for online market segmentation",
	journal = "Journal of Retailing and Consumer Services ",
	year = "2007",
	volume = "14",
	number = "6",
	doi = "10.1016/j.jretconser.2007.02.007",
	pages = "359-368",
	url = "http://www.sciencedirect.com/science/article/pii/S0969698907000203?via%3Dihub"
}
Export RIS 
TY  - JOUR
TI  - Latent class modeling of website users' search patterns. Implications for online market segmentation
T2  - Journal of Retailing and Consumer Services 
VL  - 14
IS  - 6
AU  - Dias, J. G.
AU  - Vermunt, J. K.
PY  - 2007
SP  - 359-368
SN  - 0969-6989
DO  - 10.1016/j.jretconser.2007.02.007
UR  - http://www.sciencedirect.com/science/article/pii/S0969698907000203?via%3Dihub
AB  - Appropriate modeling of web use patterns may yield very relevant marketing and retailing information. We propose using a model-based clustering approach for market segmentation based on website users’ search patterns. We not only provide a detailed discussion of technical issues such as the problem of the selection of the number of segments, but also a very interesting empirical illustration of the potentials of the proposed approach.
ER  -