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A Chain Composite Item Recommender for Lifelong Pathways

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Part of the Lecture Notes in Computer Science book series (LNISA,volume 12925)

Abstract

This work addresses the problem of recommending lifelong pathways, i.e., sequences of actions pertaining to health, social or professional aspects, for fulfilling a personal lifelong project. This problem raises some specific challenges, since the recommendation process is constrained by the user profile, the time they can devote to the actions in the pathway, the obligation to smooth the learning curve of the user. We model lifelong pathways as particular chain composite items and formalize the recommendation problem as a form of orienteering problem. We adapt classical evaluation criteria for measuring the quality of the recommended pathways. We experiment with both artificial and real datasets, showing our approach is a promising building block of an interactive lifelong pathways recommender system.

Keywords

  • Chain composite item recommendation
  • Orienteering problem

Funded by ANRT CIFRE 2020/0731.

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  • DOI: 10.1007/978-3-030-86534-4_5
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Notes

  1. 1.

    https://github.com/AlexChanson/Cplex-TAP.

  2. 2.

    RSA stands for Revenue de Solidarité Active and is French form of in work welfare benefit aimed at reducing the barrier to return to work.

  3. 3.

    These are the most related official indicators that we found on the topic of social assistance giving hints how to set these thresholds in case of RSA social benefit.

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Correspondence to Patrick Marcel .

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Chanson, A., Devogele, T., Labroche, N., Marcel, P., Ringuet, N., T’Kindt, V. (2021). A Chain Composite Item Recommender for Lifelong Pathways. In: Golfarelli, M., Wrembel, R., Kotsis, G., Tjoa, A.M., Khalil, I. (eds) Big Data Analytics and Knowledge Discovery. DaWaK 2021. Lecture Notes in Computer Science(), vol 12925. Springer, Cham. https://doi.org/10.1007/978-3-030-86534-4_5

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  • DOI: https://doi.org/10.1007/978-3-030-86534-4_5

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-86533-7

  • Online ISBN: 978-3-030-86534-4

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