The success of touristic businesses, attractions, and destinations heavily relies on travel
agents' recommendations, which significantly impact client satisfaction. However, the …

Recently, the tourism trend has been shifting towards the Tourism 2.0 paradigm due to
increased travel experiences and the increase in acquiring and sharing information through …

Recommender systems-RS-have experienced exponential growth in various fields,
especially in the tourism sector, improving tourism activities' accuracy, personalization, and …

Smart tourism destinations (STDs), driven by technological advancements, aim to increase
travellers' experiences and residents' quality of life. However, the existing research primarily …

个性化推荐是提取特定信息的有效手段之一, 针对传统推荐法中缺少用户特征问题,
提出一种基于多特征融合的广义矩阵分解与深度长短期记忆网络混合推荐模型(hybrid …

To accommodate user-specific requirements and preferences, a travel Recommendation
System (RS) gives a customized place of interest. The prevalent research did not provide …

The recommender system predicts the future paths based on the vehicle interactions in a
vehicular environment. As the data is ubiquitous, we have a number of options available to …

Travelers are increasingly looking for customized itineraries that are suited to their specific
interests. In response to this demand in this work, an automated travel planning system is …

In this paper, we introduce ResNetMF, a groundbreaking approach that harnesses the
power of residual network matrix factorization to revolutionize recommendation systems …

Personalized recommendation is one of the most effective means to extract specific
information. Aiming at the problem that lacking of users feature in traditional …