Towards Activity Recommendation from Lifelogs

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Title: Towards Activity Recommendation from Lifelogs
Authors: Kumar, Gunjan
Jerbi, Houssem
Gurrin, Cathal
O'Mahony, Michael P.
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Date: 6-Dec-2014
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.
Funding Details: Science Foundation Ireland
Type of material: Conference Publication
Publisher: ACM
Copyright (published version): 2014 ACM
Keywords: Recommender systemsLifeloggingActivity recommendationActivity timeline matching
DOI: 10.1145/2684200.2684298
Language: en
Status of Item: Peer reviewed
Conference Details: iiWAS '14: The 16th International Conference on Information Integration and Web-based Applications & Services (iiWAS2014), Hanoi, Vietnam, 4-6 December 2014
Appears in Collections:Computer Science Research Collection
Insight Research Collection

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