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

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

doi:10.1145/1871437.1871771

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 proceeding › Conference contribution

11 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 language	English
Title of host publication	CIKM'10 - Proceedings of the 19th International Conference on Information and Knowledge Management and Co-located Workshops
Pages	1935-1936
Number of pages	2
DOIs	https://doi.org/10.1145/1871437.1871771
Publication status	Published - 2010
Event	19th International Conference on Information and Knowledge Management and Co-located Workshops, CIKM'10 - Toronto, ON, Canada Duration: 2010 Oct 26 → 2010 Oct 30

Publication series

Name	International Conference on Information and Knowledge Management, Proceedings

Other

Other	19th International Conference on Information and Knowledge Management and Co-located Workshops, CIKM'10
Country/Territory	Canada
City	Toronto, ON
Period	10/10/26 → 10/10/30

Keywords

Classification
Merge-centroid vectors
Mobile personalized services
ODP
User intents

ASJC Scopus subject areas

General Business,Management and Accounting
General Decision Sciences

Access to Document

10.1145/1871437.1871771

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

EUI: An embedded engine for understanding user intents from mobile devices. / Ha, JongWoo; Lee, Jung Hyun; Shim, Kyu Sun et al.
CIKM'10 - Proceedings of the 19th International Conference on Information and Knowledge Management and Co-located Workshops. 2010. p. 1935-1936 (International Conference on Information and Knowledge Management, Proceedings).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Ha, J, Lee, JH, Shim, KS & 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. International Conference on Information and Knowledge Management, Proceedings, pp. 1935-1936, 19th International Conference on Information and Knowledge Management and Co-located Workshops, CIKM'10, Toronto, ON, Canada, 10/10/26. https://doi.org/10.1145/1871437.1871771

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AB - 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.

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

Abstract

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Keywords

ASJC Scopus subject areas

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