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.
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Papers citing this work
The following is a non-exhaustive list of papers that cite this work:
[1] Ľ. Antoni, P. Eliaš, S. Krajči, et al. “Heterogeneous formal context and its decomposition by heterogeneous fuzzy subsets”. In: Fuzzy Sets and Systems 451 (Dec. 2022), p. 361–384. ISSN: 0165-0114. DOI: 10.1016/j.fss.2022.05.015. URL: http://dx.doi.org/10.1016/j.fss.2022.05.015.
[2] P. Eliaš, L. Antoni, O. Krídlo, et al. “Additional Notes on Heterogeneous Concept-Forming Operators”. In: Computational Intelligence and Mathematics for Tackling Complex Problems 5. Springer Nature Switzerland, 2024, p. 1–7. ISBN: 9783031469794. DOI: 10.1007/978-3-031-46979-4_1. URL: http://dx.doi.org/10.1007/978-3-031-46979-4_1.
[3] D. López-Rodríguez, M. Ojeda-Hernández, and C. Bejines. “New Simplification Rules for Databases with Positive and Negative Attributes”. In: Mathematics 13.2 (Jan. 2025), p. 309. ISSN: 2227-7390. DOI: 10.3390/math13020309. URL: http://dx.doi.org/10.3390/math13020309.
[4] M. Ojeda-Hernández, D. López-Rodríguez, and Á. Mora. “A Formal Concept Analysis approach to hierarchical description of malware threats”. In: Forensic Science International: Digital Investigation 50 (Sep. 2024), p. 301797. ISSN: 2666-2817. DOI: 10.1016/j.fsidi.2024.301797. URL: http://dx.doi.org/10.1016/j.fsidi.2024.301797.
[5] F. Pérez-Gámez, P. Cordero, M. Enciso, et al. “Computing the Mixed Concept Lattice”. In: Information Processing and Management of Uncertainty in Knowledge-Based Systems. Springer International Publishing, 2022, p. 87–99. ISBN: 9783031089718. DOI: 10.1007/978-3-031-08971-8_8. URL: http://dx.doi.org/10.1007/978-3-031-08971-8_8.
[6] F. Pérez-Gámez, D. López-Rodríguez, P. Cordero, et al. “Simplifying Implications with Positive and Negative Attributes: A Logic-Based Approach”. In: Mathematics 10.4 (Feb. 2022), p. 607. ISSN: 2227-7390. DOI: 10.3390/math10040607. URL: http://dx.doi.org/10.3390/math10040607.
[7] J. Zhang, Q. Hu, J. Mi, et al. “Hesitant fuzzy three-way concept lattice and its attribute reduction”. In: Applied Intelligence 54.3 (Feb. 2024), p. 2445–2457. ISSN: 1573-7497. DOI: 10.1007/s10489-024-05317-0. URL: http://dx.doi.org/10.1007/s10489-024-05317-0.