A Formal Concept Analysis Approach to Cooperative Conversational Recommendation

 

Abstract

We focus on the development of a method to guide the choice of a set of users in an environment where the number of features describing the items is high and user interaction becomes laborious. Using the framework of formal concept analysis, particularly the notion of implication between attributes, we propose a method strongly based on logic which allows to manage the users’ preferences by following a conversational paradigm. Concerning complexity, to build the conversation and provide updated information based on the users’ previous actions (choices) the method has polynomial delay.

Citation

Please, cite this work as:

[Cor+20] P. Cordero, M. Enciso, �. Mora, et al. “A Formal Concept Analysis Approach to Cooperative Conversational Recommendation”. In: International Journal of Computational Intelligence Systems 13 (1 2020), pp. 1243-1252. ISSN: 1875-6883. DOI: 10.2991/ijcis.d.200806.001. URL: https://doi.org/10.2991/ijcis.d.200806.001.

BibTeX

@article{Cordero2020,
     title={A Formal Concept Analysis Approach to Cooperative Conversational Recommendation},
     author={Pablo Cordero and Manuel Enciso and �ngel Mora and Manuel Ojeda-Aciego and Carlos Rossi},
     year={2020},
     journal={International Journal of Computational Intelligence Systems},
     volume={13},
     issue={1},
     pages={1243-1252},
     issn={1875-6883},
     url={https://doi.org/10.2991/ijcis.d.200806.001},
     doi={10.2991/ijcis.d.200806.001}
}