Multivariate Landing Page Optimization Using Hierarchical Bayes Choice-Based Conjoint

Stefanie Schreiber, Daniel Baier. Multivariate Landing Page Optimization Using Hierarchical Bayes Choice-Based Conjoint. In Berthold Lausen, Sabine Krolak-Schwerdt, Matthias Böhmer 0002, editors, Data Science, Learning by Latent Structures, and Knowledge Discovery [revised versions of selected papers presented during the European Conference on Data Analysis (ECDA 2013), Luxembourg, July 2013]. Studies in Classification, Data Analysis, and Knowledge Organization, pages 465-474, Springer, 2013. [doi]

@inproceedings{SchreiberB13,
  title = {Multivariate Landing Page Optimization Using Hierarchical Bayes Choice-Based Conjoint},
  author = {Stefanie Schreiber and Daniel Baier},
  year = {2013},
  doi = {10.1007/978-3-662-44983-7_41},
  url = {http://dx.doi.org/10.1007/978-3-662-44983-7_41},
  researchr = {https://researchr.org/publication/SchreiberB13},
  cites = {0},
  citedby = {0},
  pages = {465-474},
  booktitle = {Data Science, Learning by Latent Structures, and Knowledge Discovery [revised versions of selected papers presented during the European Conference on Data Analysis (ECDA 2013), Luxembourg, July 2013]},
  editor = {Berthold Lausen and Sabine Krolak-Schwerdt and Matthias Böhmer 0002},
  series = {Studies in Classification, Data Analysis, and Knowledge Organization},
  publisher = {Springer},
  isbn = {978-3-662-44982-0},
}