DocumentCode :
1819191
Title :
Accommodation recommendation system from user reviews based on feature-based weighted non-negative matrix factorization method
Author :
Lerttripinyo, Thanatcha ; Jatukannyaprateep, Pariyawit ; Prompoon, Nakornthip ; Pattanothai, Chate
Author_Institution :
Dept. of Comput. Eng., Chulalongkorn Univ., Bangkok, Thailand
fYear :
2015
fDate :
22-24 July 2015
Firstpage :
108
Lastpage :
113
Abstract :
Nowadays, online information dominates people decision making, especially in a daily life basis, as well as traveling. Many websites provide accommodation information and reviews. Hence, this information overload makes choosing the right accommodation difficult and time-consuming for users. We propose ACRoSS, a system that collects data from websites and chooses representative reviews by feature-based weighted non-negative matrix factorization method regarding predetermined topics. The benefit of this project is to help users to choose an accommodation easily. The system can classify the topic with the precision of 61%. The percentages of users that have high satisfaction in representative reviews are 55.48%.
Keywords :
Internet; data mining; matrix decomposition; recommender systems; ACRoSS; Web sites; accommodation recommendation system; feature-based weighted nonnegative matrix factorization method; opinion mining; representative user reviews; text mining; Data processing; Databases; Feature extraction; Frequency measurement; Text mining; User interfaces; Opinion mining; Recommendation System; Text mining;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Science and Software Engineering (JCSSE), 2015 12th International Joint Conference on
Conference_Location :
Songkhla
Type :
conf
DOI :
10.1109/JCSSE.2015.7219780
Filename :
7219780
Link To Document :
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