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• W2040935504 abstract "With the increasing availability of passive, wearable sensor devices, digital lifelogs can now be captured for individuals. Lifelogs contain a digital trace of a person's life, and are characterised by large quantities of rich contextual data. In this paper, we propose a content-based recommender system to leverage such lifelogs to suggest activities to users. We model lifelogs as timelines of chronological sequences of activity objects, and describe a recommendation framework in which a two-level distance metric is proposed to measure the similarity between current and past timelines. An initial evaluation of our activity recommender performed using a real-world lifelog dataset demonstrates the utility of our approach." @default.
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• W2040935504 date "2014-12-04" @default.
• W2040935504 modified "2023-09-26" @default.
• W2040935504 title "Towards Activity Recommendation from Lifelogs" @default.
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• W2040935504 doi "https://doi.org/10.1145/2684200.2684298" @default.
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