The advancement of artificial intelligence (AI) and the significant growth in the use of food
consumption tracking and recommendation-related apps in the app stores have created a …

Recommender systems are currently a relevant tool for facilitating access for online users, to
information items in search spaces overloaded with possible options. With this goal in mind …

Food recommender-systems are considered an effective tool to help users adjust their
eating habits and achieve a healthier diet. This paper aims to develop a new hybrid food …

Recommendation is a prevalent and critical service in information systems. To provide
personalized suggestions to users, industry players embrace machine learning, more …

Recommender systems (RS) have been increasingly applied to food and health. However,
challenges still remain, including the effective incorporation of heterogeneous information …

Food recommendation has attracted increasing attentions to various food-related
applications and services. The food recommender models aim to match users' preferences …

Online micro-video recommender systems aim to address the information explosion of micro-
videos and make the personalized recommendation for users. However, the existing …

In recent years, the surge in social media platform usage has sparked a heightened interest
in applying recommender systems (RSs) within the food industry. Traditionally, the …

Sustainability development goals (SDGs) are regarded as a universal call to action with the
overall objectives of planet protection, ending of poverty, and ensuring peace and prosperity …

With the rapid development of online recipe sharing platforms, food recommendation is
emerging as an important application. Although recent studies have made great progress on …