Abstract
Comparative evaluation in the areas of User Modeling, Adaptation and Personalization (UMAP) is significantly challenging. It has always been difficult to rigorously compare different approaches to personalization, as the function of the resulting systems is, by their nature, heavily influenced by the behavior of the users involved in trialing the systems. Developing comparative evaluations in this space would be a huge advancement as it would enable shared comparison across research. Here we present a proposal for a shared challenge generation in UMAP, focusing on user model generation using logged mobile phone data, with an assumed purpose of supporting mobile phone notification suggestion. The dataset, evaluation metrics, and challenge operation are described.
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Conlan, O., Kelly, L., Koidl, K., Lawless, S., Levacher, K., Staikopoulos, A.: EvalUMAP 2016: towards comparative evaluation in the user modelling, adaptation and personalization space workshop. In: UMAP 2016 (2016)
Conlan, O., Kelly, L., Koidl, K., Lawless, S., Staikopoulos, A.: EvalUMAP 2017: towards comparative evaluation in the user modelling, adaptation and personalization space workshop. In: UMAP 2017 (2017)
Fehr, J., Heiland, J., Himpe, C., Saak, J.: Best practices for replicability, reproducibility and reusability of computer-based experiments exemplified by model reduction software. arXiv preprint arXiv:1607.01191 (2016)
Fraser, K., Yousuf, B., Conlan, O.: Synthesis and evaluation of a mobile notification dataset. In: Adjunct Publication of UMAP 2017 (2017)
Fraser, K., Yousuf, B., Conlan, O.: Scrutable and persuasive push-notifications. In: Oinas-Kukkonen, H., Win, K.T., Karapanos, E., Karppinen, P., Kyza, E. (eds.) PERSUASIVE 2019. LNCS, vol. 11433, pp. 67–73. Springer, Cham (2019). https://doi.org/10.1007/978-3-030-17287-9_6
Hopfgartner, F., Kille, B., Lommatzsch, A., Plumbaum, T., Brodt, T., Heintz, T.: Benchmarking news recommendations in a living lab. In: Kanoulas, E., et al. (eds.) CLEF 2014. LNCS, vol. 8685, pp. 250–267. Springer, Cham (2014). https://doi.org/10.1007/978-3-319-11382-1_21
Hui Yang, G., Soboroff, I.: TREC 2016 dynamic domain track overview. In: TREC 2016 (2016)
Paramythis, A., Weibelzahl, S., Masthoff, J.: Layered evaluation of interactive adaptive systems: framework and formative methods. User Model. User-Adap. Interact. 20(5), 383–453 (2010). https://doi.org/10.1007/s11257-010-9082-4
Park, K.S., Hwan Lim, C.: A structured methodology for comparative evaluation of user interface designs using usability criteria and measures. Int. J. Ind. Ergon. 23(5–6), 379–389 (1999). https://doi.org/10.1016/S0169-8141(97)00059-0
Schuth, A., Balog, K., Kelly, L.: Overview of the Living Labs for Information Retrieval Evaluation (LL4IR) CLEF lab 2015. In: Mothe, J., et al. (eds.) CLEF 2015. LNCS, vol. 9283, pp. 484–496. Springer, Cham (2015). https://doi.org/10.1007/978-3-319-24027-5_47
Van Velsen, L., van der Geest, T., Klaassen, R., Steehouder, M.: User-centered evaluation of adaptive and adaptable systems: a literature review. Knowl. Eng. Rev. 23(3), 261–281 (2008). https://doi.org/10.1017/S0269888908001379
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Conlan, O., Fraser, K., Kelly, L., Yousuf, B. (2019). A User Modeling Shared Challenge Proposal. In: Crestani, F., et al. Experimental IR Meets Multilinguality, Multimodality, and Interaction. CLEF 2019. Lecture Notes in Computer Science(), vol 11696. Springer, Cham. https://doi.org/10.1007/978-3-030-28577-7_13
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