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Dynamic adaptation of numerical attributes in a user profile

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Abstract

Recommender systems try to help users in their decisions by analyzing and ranking the available alternatives according to their preferences and interests, modeled in user profiles. The discovery and dynamic update of the users’ preferences are key issues in the development of these systems. In this work we propose to use the information provided by a user during his/her interaction with a recommender system to infer his/her preferences over the criteria used to define the decision alternatives. More specifically, this paper pays special attention on how to learn the user’s preferred value in the case of numerical attributes. A methodology to adapt the user profile in a dynamic and automatic way is presented. The adaptations in the profile are performed after each interaction of the user with the system and/or after the system has gathered enough information from several user selections. We have developed a framework for the automatic evaluation of the performance of the adaptation algorithm that permits to analyze the influence of different parameters. The obtained results show that the adaptation algorithm is able to learn a very accurate model of the user preferences after a certain amount of interactions with him/her, even if the preferences change dynamically over time.

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Acknowledgements

This work has been supported by the Universitat Rovira i Virgili (a pre-doctoral grant of L. Marin) and the Spanish Ministry of Science and Innovation (DAMASK project, Data mining algorithms with semantic knowledge, TIN2009-11005) and the Spanish Government (Plan E, Spanish Economy and Employment Stimulation Plan).

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Authors and Affiliations

  1. Department of Computer Science and Mathematics, ITAKA Research Group, Universitat Rovira i Virgili, Avda. Països Catalans, 26, 43007, Tarragona, Catalonia, Spain

    Lucas Marin, David Isern & Antonio Moreno

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  1. Lucas Marin
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  2. David Isern
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  3. Antonio Moreno
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Correspondence to David Isern.

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Marin, L., Isern, D. & Moreno, A. Dynamic adaptation of numerical attributes in a user profile. Appl Intell 39, 421–437 (2013). https://doi.org/10.1007/s10489-012-0421-5

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