skip to main content
10.1145/3372278.3388038acmconferencesArticle/Chapter ViewAbstractPublication PagesicmrConference Proceedingsconference-collections
keynote

What Should I Do?

Published: 08 June 2020 Publication History

Abstract

I find myself asking, "What should I do?" in many situations such as when I want to go out to eat; I want to decide about my vacation; decide on spending some free time on the weekend; and numerous other decisions. All these decisions are really personalized contextual decisions that may be addressed by a contextual recommendation engine that knows me. For knowing me well, the engine should prepare my model based on all events in my life. By retrieving and mining events of various types computed using different multimodal data streams, such a personal model may be prepared and then used to help in making decisions ranging from trivial to critical. We discuss important challenges in organizing life events that may be used for building personal models and for accessing characteristics of such events as may be needed in various applications. We will demonstrate our ideas using some applications related to lifestyle and health.

Recommendations

Comments

Information & Contributors

Information

Published In

cover image ACM Conferences
ICMR '20: Proceedings of the 2020 International Conference on Multimedia Retrieval
June 2020
605 pages
ISBN:9781450370875
DOI:10.1145/3372278
Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

Sponsors

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 08 June 2020

Check for updates

Author Tags

  1. event mining
  2. life log
  3. personal model
  4. personicle
  5. recommendation systems

Qualifiers

  • Keynote

Conference

ICMR '20
Sponsor:

Acceptance Rates

Overall Acceptance Rate 254 of 830 submissions, 31%

Contributors

Other Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

  • 0
    Total Citations
  • 73
    Total Downloads
  • Downloads (Last 12 months)1
  • Downloads (Last 6 weeks)0
Reflects downloads up to 12 Feb 2025

Other Metrics

Citations

View Options

Login options

View options

PDF

View or Download as a PDF file.

PDF

eReader

View online with eReader.

eReader

Figures

Tables

Media

Share

Share

Share this Publication link

Share on social media