With the appearance of many wearable devices like smartwatches,
recording glasses (such as Google glass), smart phones, digital personal profiles have become more readily available nowadays. However, searching and navigating these multi-source, multi-modal,
and often unstructured data to extract useful information is still a
relatively challenging task. Therefore, the LSC2019 competition has
been organized so that researchers can demonstrate novel search
engines, as well as exchange ideas and collaborate on these types
of problems. We present in this paper our approach for supporting
interactive searches of lifelog data by employing a new retrieval
system called VieLens, which is an interactive retrieval system enhanced by natural language processing techniques to extend and
improve search results mainly in the context of a user’s activities
in their daily life.
Metadata
Item Type:
Conference or Workshop Item (Paper)
Event Type:
Conference
Refereed:
Yes
Uncontrolled Keywords:
natural language processing; interactive retrieval; datasets; machine learning
This item is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 3.0 License. View License
Funders:
VIBE 2018 funding from the Irish Embassy in Vietnam, Adapt Center under SFI Grant number 13/RC/2106, Insight Centre under SFI Grant number SFI/12/RC/2289
ID Code:
24675
Deposited On:
23 Jun 2020 13:09 by
Cathal Gurrin
. Last Modified 15 Dec 2021 15:53