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Towards Activity Recommendation from Lifelogs

Authors: 
Publication Type: 
Refereed Conference Meeting Proceeding
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 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.
Conference Name: 
16th International Conference on Information Integration and Web-based Applications & Services (iiWAS2014)
Proceedings: 
16th International Conference on Information Integration and Web-based Applications & Services (iiWAS2014)
Digital Object Identifer (DOI): 
10.na
Publication Date: 
04/12/2014
Conference Location: 
Viet Nam
Research Group: 
Institution: 
National University of Ireland, Dublin (UCD)
Open access repository: 
No
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