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
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;
Conference_Titel :
Computer Software and Applications Conference (COMPSAC), 2014 IEEE 38th Annual
Conference_Location :
Vasteras
DOI :
10.1109/COMPSAC.2014.47