Mecurate: Personalized curation service using a tiny text intelligence

Woo Jong Ryu, Jung Hyun Lee, Kang Min Kim, Sang-Geun Lee

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

7 Citations (Scopus)

Abstract

The necessity and importance of intelligent content curation have been demanding, as exemplified by Google Photos and Inbox. In this demo, we demonstrate a personalized curation service on a smartphone, called meCurate. By understanding implicit user interests from user smartphone usage data, meCurate intelligently organizes both in-device user content (e.g., SMSs and bookmarks) and external content (e.g., news articles crawled from The New York Times website), which are likely to match the inferred user's interests. In addition, meCurate retrieves semantically relevant in-device user content and external content to an explicit text or voice query. To this end, we utilize a tiny text intelligence which is suitable for smartphones with limited resources. Notably, meCurate works in a stand-alone, privacy-protecting manner without sending out any in-device personal data or content, resulting in a unique user experience.

Original languageEnglish
Title of host publication26th International World Wide Web Conference 2017, WWW 2017 Companion
PublisherInternational World Wide Web Conferences Steering Committee
Pages269-272
Number of pages4
ISBN (Electronic)9781450349147
DOIs
Publication statusPublished - 2019 Jan 1
Event26th International World Wide Web Conference, WWW 2017 Companion - Perth, Australia
Duration: 2017 Apr 32017 Apr 7

Other

Other26th International World Wide Web Conference, WWW 2017 Companion
CountryAustralia
CityPerth
Period17/4/317/4/7

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Keywords

  • Personalized curation
  • Semantic search
  • Tiny text intelligence
  • User understanding

ASJC Scopus subject areas

  • Software
  • Computer Networks and Communications

Cite this

Ryu, W. J., Lee, J. H., Kim, K. M., & Lee, S-G. (2019). Mecurate: Personalized curation service using a tiny text intelligence. In 26th International World Wide Web Conference 2017, WWW 2017 Companion (pp. 269-272). International World Wide Web Conferences Steering Committee. https://doi.org/10.1145/3041021.3054723