Personalized recommendations based on hotel online review data

Autor:	Yongchao Zhao, Chunlin Wang, Haifei Qin, Xiaolin Chen, Wanjin Xu
Rok vydání:	2020
Předmět:	History Information retrieval Data acquisition Computer science Semantic analysis (machine learning) Feature (machine learning) JADE (programming language) computer Computer Science Applications Education computer.programming_language
Zdroj:	Journal of Physics: Conference Series. 1486:052028
ISSN:	1742-6596 1742-6588
DOI:	10.1088/1742-6596/1486/5/052028
Popis:	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.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::f5d9edb630d38ab12add52b462285eee https://doi.org/10.1088/1742-6596/1486/5/052028 Zobrazit plný text záznamu