TY - GEN
T1 - App relationship calculation
T2 - 32nd IEEE International Conference on Data Engineering, ICDE 2016
AU - Liu, Ming
AU - Wu, Chong
AU - Zhao, Xiang Nan
AU - Lin, Chin Yew
AU - Wang, Xiao Long
N1 - Publisher Copyright:
© 2016 IEEE.
PY - 2016/6/22
Y1 - 2016/6/22
N2 - Today, plenty of apps are released to help users make the best use of their mobile phones. Facing the large amount of apps, app retrieval and app recommendation are extensively adopted to help users obtain their favorite apps. To acquire the high-quality retrieval or recommending results, it needs to obtain the accurate app relationship calculating results in advance. Unfortunately, recent methods are conducted mostly depending on user's log or app's contexts, which can only detect whether two apps are downloaded, installed meanwhile or provide similar functions or not. In fact, apps contain many deep relationships other than similarity, e.g., one app needs another app to cooperate to fulfill its work. Obviously, app's reviews contain user's viewpoint. They are useful to help dig deep relationship between apps. Therefore, to calculate relationship between apps via reviews, we propose an iterative process by combining review similarity calculation and app relationship calculation together.
AB - Today, plenty of apps are released to help users make the best use of their mobile phones. Facing the large amount of apps, app retrieval and app recommendation are extensively adopted to help users obtain their favorite apps. To acquire the high-quality retrieval or recommending results, it needs to obtain the accurate app relationship calculating results in advance. Unfortunately, recent methods are conducted mostly depending on user's log or app's contexts, which can only detect whether two apps are downloaded, installed meanwhile or provide similar functions or not. In fact, apps contain many deep relationships other than similarity, e.g., one app needs another app to cooperate to fulfill its work. Obviously, app's reviews contain user's viewpoint. They are useful to help dig deep relationship between apps. Therefore, to calculate relationship between apps via reviews, we propose an iterative process by combining review similarity calculation and app relationship calculation together.
UR - https://www.scopus.com/pages/publications/84980395638
U2 - 10.1109/ICDE.2016.7498414
DO - 10.1109/ICDE.2016.7498414
M3 - 会议稿件
AN - SCOPUS:84980395638
T3 - 2016 IEEE 32nd International Conference on Data Engineering, ICDE 2016
SP - 1540
EP - 1541
BT - 2016 IEEE 32nd International Conference on Data Engineering, ICDE 2016
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 16 May 2016 through 20 May 2016
ER -