Hotel selection on tourism websites has been a prevailing trend in traveling in recent years,
and selecting a suitable hotel is a high-risk decision for millions of tourists because of the …

The continuous development of e-commerce recommendation systems enables people to
better obtain the products they need, saving economic and time costs. When recommending …

Hotel selection method based on online evaluations has become a hot research topic. The
existing models based on online ratings or reviews from one website have a disadvantage …

The effect of online reviews on resulting decisions attracted the interests of merchants and
researchers in different fields. According to existing studies, the decisions of tourists are …

With the considerable development of tourism market, as well as the expansion of the e-
commerce platform scale, increasing tourists often prefer to select tourism products such as …

With the rapid information explosion and sharing, recommender systems (RS) play an
auxiliary role in assisting the Internet users to make decision especially in the e-service …

The Internet has provided many platforms for tourists to spread tourism-related information,
resulting in a large amount of online review data on tourist attractions. Mining and analyzing …

Hotel selection is an important decision in making travel plans. Since hotel selection is a
typical non-expert decision, online reviews provide people with information about the hotels …

Online product reviews (OPRs) provide abundant information for potential customers to
make optimal purchase decisions, and they apply Big Data to better understand product …

The research provides a multi-criteria group decision support model for hotel selection
according to traveller preference characteristics. Specifically, the study attempts to identify …