This study aims to investigate the hotel selection differences among different types of
travellers through online hotel reviews. Specifically, the study performs a detailed …

Over the years, the recommender systems (RS) have witnessed an increasing growth for its
enormous benefits in supporting users' needs through map** the available products to …

Recommender systems are challenging research problems being exploited to suggest new
items or services, such as books, music and movies, and even people, to users based on …

Abstract Location-based Social Networks (LBSNs) enable users to socialize with friends and
acquaintances by sharing their check-ins, opinions, photos, and reviews. A huge volume of …

In food diet communication domain, images convey important information to capture users'
attention beyond the traditional ingredient content, making it crucial to influence user …

Existing food recommendation models have typically suggested foods or recipes to single
users. However, in reality, users may be members of a group, family, or community, requiring …

Personalized travel package recommendation for tourists is an important task in the e-
Tourism field. With the excessive growth of data over the internet, it has become difficult to …

Tourists share opinions about Points of Interest (POIs) through online posts and social
media platforms. Opinion mining is a popular technique for extracting feedback from tourists …

With the rise of smart cities and geographic big-data applications, the refined identification of
urban functional areas is of great significance for decision-makers to formulate scientific and …

Due to the rapid growth of the information overload issue, recommender systems have
become necessary and are implemented in numerous facets of human life, including the …