DocumentCode
237431
Title
SMoCoR: A Smart Mobile Contact Recommender Based on Smart Phone Data
Author
Xiwei Zhuang ; Yanchun Sun ; Kui Wei
Author_Institution
Key Lab. of High Confidence Software Technol., Peking Univ., Beijing, China
fYear
2014
fDate
21-25 July 2014
Firstpage
634
Lastpage
635
Abstract
This paper presents SMoCoR, a smart mobile contact recommender based on smart phone data. It recommends the most appropriate way to contact friends according to friends´ current condition. In no emergency condition, SMoCoR achieves two goals. First, the recommended contacts disturb friends least, that means, it will tell whether it´s suitable to call friends. Second, the recommended contact makes the communication information accessible to the friends and gets replies from the friends as soon as possible. For the goals above, SMoCoR takes friends´ calendar data and smart phone data as inputs, and after several steps of calculation it will recommend a list of contacts ranked by intelligent algorithm according to the appropriateness. The experimental results based on real-user data show that SMoCoR provides an efficient and accurate means for contact recommendation.
Keywords
artificial intelligence; recommender systems; smart phones; SMoCoR; calendar data; contact recommendation; intelligent algorithm; smart mobile contact recommender; smart phone data; Calendars; Conferences; Educational institutions; Mobile communication; Smart phones; Software; Contact recommender; mobile applications; service;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Software and Applications Conference (COMPSAC), 2014 IEEE 38th Annual
Conference_Location
Vasteras
Type
conf
DOI
10.1109/COMPSAC.2014.47
Filename
6899280
Link To Document