Recommender Systems (RSs), which generate personalized content, have become a
technological tool with diverse applications for users. While numerous RSs have been …

Background This cross-sectional study investigated the online dissemination of Cochrane
reviews on digital health technologies. Methods We searched the Cochrane Database of …

State-of-the-art methods for cross-modal recipe retrieval failed to consider an underlying but
challenging issue, ie, matching imperfectly problem hidden in positive image-recipe pairs …

Food plays a vital role in human life, covering a wide range of health, cultural and medical
aspects. With the increasing demand for applications such as food recommendation and …

The escalating volume of data in engineering practice necessitates innovative
computational approaches for data-driven insights. Existing literature relies on isolated data …

Diet plays a critical role in human health, yet tailoring dietary reasoning to individual health
conditions remains a major challenge. Nutrition Question Answering (QA) has emerged as a …

Human behavioral patterns and consumption paradigms have emerged as pivotal
determinants in environmental degradation and climate change, with quotidian decisions …

In recent years, the use of data-driven methods has provided insights into underlying
patterns and principles behind culinary recipes. In this exploratory work, we introduce the …

Existing agent-based chatbot frameworks need seamless mechanisms to include
explainable dialogic engines within the contextual flow. To this end, this paper presents a …

This paper formulated a support vector machine powered time-aware food recommender
system (SVMTAFRS) to recommend healthy food for the customers. The rated food item …