TY - GEN
T1 - Mecurate
T2 - 26th International World Wide Web Conference, WWW 2017 Companion
AU - Ryu, Woo Jong
AU - Lee, Jung Hyun
AU - Kim, Kang Min
AU - Lee, Sang-Geun
N1 - Funding Information:
This research was supported by Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Science, ICT and Future Planning (number 2015R1A2A1A10052665).
PY - 2019
Y1 - 2019
N2 - 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.
AB - 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.
KW - Personalized curation
KW - Semantic search
KW - Tiny text intelligence
KW - User understanding
UR - http://www.scopus.com/inward/record.url?scp=85026225688&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85026225688&partnerID=8YFLogxK
U2 - 10.1145/3041021.3054723
DO - 10.1145/3041021.3054723
M3 - Conference contribution
AN - SCOPUS:85026225688
T3 - 26th International World Wide Web Conference 2017, WWW 2017 Companion
SP - 269
EP - 272
BT - 26th International World Wide Web Conference 2017, WWW 2017 Companion
PB - International World Wide Web Conferences Steering Committee
Y2 - 3 April 2017 through 7 April 2017
ER -