Open AccessPersonalized recommendations based on hotel online review data
Author(s) -
Haifei Qin,
Wanjin Xu,
Yongchao Zhao,
Chunlin Wang,
Xiaolin Chen
Publication year - 2020
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1486/5/052028
Subject(s) - computer science , jade (particle detector) , feature (linguistics) , information retrieval , recommender system , world wide web , data science , data mining , linguistics , philosophy , physics , particle physics
With the development of network technology, independent travel is more and more popular. This paper constructs Hotel recommendations based on online review data. Firstly, we are starting from data acquisition, perceive and obtain the data that the online overview from the multi-agent-based on JADE. Secondly, we carry out semantic analysis of online comment data, according to the selecting, filtering, identifying, and merging data features, gain the feature of the hotel. Then, classifies online comment data and ranks hotels using combined feature words. Finally, we provide a personalized recommendation to users.