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Towards activity recommendation from lifelogs

Kumar, Gunjan, Jerbi, Houssem, Gurrin, Cathal orcid logoORCID: 0000-0003-2903-3968 and O'Mahony, Michael (2014) Towards activity recommendation from lifelogs. In: 16th International Conference on Information Integration and Web-based Applications & Services (iiWAS2014), 406 Dec 2014, Hanoi, Vietnam.

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 sys- tem 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 ini- tial evaluation of our activity recommender performed using a real-world lifelog dataset demonstrates the utility of our approach.
Item Type:Conference or Workshop Item (Paper)
Event Type:Conference
Subjects:Computer Science > Lifelog
Computer Science > Algorithms
DCU Faculties and Centres:Research Institutes and Centres > INSIGHT Centre for Data Analytics
Use License:This item is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 3.0 License. View License
Funders:SFI Grant Number 12/RC/2289
ID Code:20600
Deposited On:27 May 2015 13:39 by Kevin Fraser . Last Modified 15 Dec 2021 16:54

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