Tourism contextual information for recommender system

Abstract

Tourism recommender system relies on several items in supporting its effectiveness in the context. The items' searching and selecting needed tools, such recommender system. The item concerns with the contextual information, such as location, time, or social. Recommendations that use contextual information in processing recommendations are Context-Aware Recommender System. However, to identify and acquire contextual information that may affect user preferences in the decision-making process is considered challenging. Therefore, in providing recommendations, the system requires the identification of relevant contextual information. The contextual information proposes a list of proper relevant tourism items information to tourists, when tourists are in a specific location at a certain time, activity on social networks, and with particular weather situations. This study aims to identify relevant contextual information based on study associated research Context-Aware Recommender System for tourism.