TY - GEN
T1 - Detecting Spam Reviews for Improving House Sharing Recommendation
AU - Chuang, Ya Chu
AU - Li, Yung Ming
N1 - Publisher Copyright:
© 2019 IEEE.
PY - 2019/7
Y1 - 2019/7
N2 - With the rapid development of technology, the business model of the tourism industry has changed. More and more people need to rent the houses, and it is easier for customers to use and get information on the Internet. In the era of Web 2.0, consumers can leave rating scores and write reviews on the online social platforms to share their experience with others. Nonetheless, there may exist some spam reviews. In this paper, we propose a novel approach to detect user profiles and spam reviews so as to generate a rental house recommendation. With this new mechanism, consumers can receive an appropriate recommendation from their own basic information, preference, and their close friends or family who are with powerful influence on them. Also, with the support of the proposed mechanism, less fake or useless reviews influence them.
AB - With the rapid development of technology, the business model of the tourism industry has changed. More and more people need to rent the houses, and it is easier for customers to use and get information on the Internet. In the era of Web 2.0, consumers can leave rating scores and write reviews on the online social platforms to share their experience with others. Nonetheless, there may exist some spam reviews. In this paper, we propose a novel approach to detect user profiles and spam reviews so as to generate a rental house recommendation. With this new mechanism, consumers can receive an appropriate recommendation from their own basic information, preference, and their close friends or family who are with powerful influence on them. Also, with the support of the proposed mechanism, less fake or useless reviews influence them.
KW - Recommendation systems
KW - Semantic analysis
KW - Sharing economy
KW - Social influence
KW - Spammer detection
UR - http://www.scopus.com/inward/record.url?scp=85080898746&partnerID=8YFLogxK
U2 - 10.1109/IIAI-AAI.2019.00028
DO - 10.1109/IIAI-AAI.2019.00028
M3 - Conference contribution
AN - SCOPUS:85080898746
T3 - Proceedings - 2019 8th International Congress on Advanced Applied Informatics, IIAI-AAI 2019
SP - 91
EP - 94
BT - Proceedings - 2019 8th International Congress on Advanced Applied Informatics, IIAI-AAI 2019
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 8th IIAI International Congress on Advanced Applied Informatics, IIAI-AAI 2019
Y2 - 7 July 2019 through 11 July 2019
ER -