Travel Recommender Systems

198 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

A survey of data fusion in smart city applications (2019, background): “Therefore, in ‘Data Completeness’ class, data fusion is performed across multiple data sources to obtain a complete picture of the overall system such as [55]–[57].”
Progress in information technology and tourism management: 20 years on and 10 years after the Internet - the state of eTourism research. (2008, background): “Ricci (2002) further stated that a recommender system can provide valuable information to assist consumers’ decision-making process.”
Intelligent tourism recommender systems: A survey (2014, background): “In the tourism field, travel recommender systems (Ricci, 2002) aim to match the characteristics of tourism and leisure resources or attractions with the user needs.”