TY - GEN
T1 - Visual detection of singularities in review platforms
AU - Colantonio, Alessandro
AU - Di Pietro, Roberto
AU - Petrocchi, Marinella
AU - Spognardi, Angelo
N1 - Publisher Copyright:
Copyright 2015 ACM.
PY - 2015/4/13
Y1 - 2015/4/13
N2 - Product and service reviews can markedly inuence consumer purchase decisions, leading to financial gains or losses for businesses. Therefore, there is a growing interest towards techniques for bringing out reviews that could negatively or positively bias new customers. To this goal, we propose a visual analysis of reviews that enables quick elicitation of interesting patterns and singularities. The proposed approach is based on a theoretically sound framework, while its effectiveness and viability is demonstrated by its application to real data extracted from Tripadvisor and Booking.com.
AB - Product and service reviews can markedly inuence consumer purchase decisions, leading to financial gains or losses for businesses. Therefore, there is a growing interest towards techniques for bringing out reviews that could negatively or positively bias new customers. To this goal, we propose a visual analysis of reviews that enables quick elicitation of interesting patterns and singularities. The proposed approach is based on a theoretically sound framework, while its effectiveness and viability is demonstrated by its application to real data extracted from Tripadvisor and Booking.com.
KW - Matrix-based visualization
KW - Reviews
KW - Singularity detection
UR - http://www.scopus.com/inward/record.url?scp=84955484224&partnerID=8YFLogxK
U2 - 10.1145/2695664.2696044
DO - 10.1145/2695664.2696044
M3 - Conference contribution
AN - SCOPUS:84955484224
T3 - Proceedings of the ACM Symposium on Applied Computing
SP - 1294
EP - 1295
BT - 2015 Symposium on Applied Computing, SAC 2015
A2 - Shin, Dongwan
PB - Association for Computing Machinery
T2 - 30th Annual ACM Symposium on Applied Computing, SAC 2015
Y2 - 13 April 2015 through 17 April 2015
ER -