EUI: An embedded engine for understanding user intents from mobile devices

JongWoo Ha, Jung Hyun Lee, Kyu Sun Shim, Sang-Geun Lee

Research output: Chapter in Book/Report/Conference proceedingConference contribution

10 Citations (Scopus)

Abstract

We design and implement a novel embedded software engine, called EUI, to understand user intents from usage data within mobile devices. By developing the EUI engine in mobile devices, we expect to move towards "proactive" devices for mobile personalized services. To this end, we seek to embed the Open Directory Project (ODP) into mobile devices, and build a robust classifier with the embedded ODP. Thus, the EUI engine classifies the usage data within mo-bile devices into some ODP categories. Our implementation handles some challenging issues in embedding the ODP and building a robust classifier. The demonstration shows that our implementation understands the semantics of the usage data effectively.

Original languageEnglish
Title of host publicationCIKM'10 - Proceedings of the 19th International Conference on Information and Knowledge Management and Co-located Workshops
Pages1935-1936
Number of pages2
DOIs
Publication statusPublished - 2010
Event19th International Conference on Information and Knowledge Management and Co-located Workshops, CIKM'10 - Toronto, ON, Canada
Duration: 2010 Oct 262010 Oct 30

Publication series

NameInternational Conference on Information and Knowledge Management, Proceedings

Other

Other19th International Conference on Information and Knowledge Management and Co-located Workshops, CIKM'10
CountryCanada
CityToronto, ON
Period10/10/2610/10/30

Keywords

  • Classification
  • Merge-centroid vectors
  • Mobile personalized services
  • ODP
  • User intents

ASJC Scopus subject areas

  • Decision Sciences(all)
  • Business, Management and Accounting(all)

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  • Cite this

    Ha, J., Lee, J. H., Shim, K. S., & Lee, S-G. (2010). EUI: An embedded engine for understanding user intents from mobile devices. In CIKM'10 - Proceedings of the 19th International Conference on Information and Knowledge Management and Co-located Workshops (pp. 1935-1936). (International Conference on Information and Knowledge Management, Proceedings). https://doi.org/10.1145/1871437.1871771