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Public acceptance of using artificial intelligence-assisted weight management apps in high-income southeast Asian adults with overweight and obesity: a cross-sectional study

Introduction: With in increase in interest to incorporate artificial intelligence (AI) into weight management programs, we aimed to examine user perceptions of AI-based mobile apps for weight management in adults with overweight and obesity. Methods: …

Non-binary evaluation of next-basket food recommendation

Next-basket recommendation (NBR) is a recommendation task that predicts a basket or a set of items a user is likely to adopt next based on his/her history of basket adoption sequences. It enables a wide range of novel applications and services from …

Perceptions and needs of artificial intelligence in healthcare to increase adoption: A scoping review

Background: Artificial intelligence (AI) provides boundless potential for improving the efficiency and effectiveness of healthcare service delivery. However, the perceptions and needs of such systems remain elusive, hindering efforts in promoting AI …

Cross-Modal Food Retrieval: Learning a Joint Embedding of Food Images and Recipes with Semantic Consistency and Attention Mechanism

Food retrieval is an important task to perform analysis of food related information, where we are interested in retrieving relevant information about the queried food item such as ingredients, cooking instructions, etc. In this paper, we investigate …

Influentials, novelty, and social contagion. The viral power of average friends, close communities, and old news

What is the effect of (1) popular individuals, and (2) community structures on the retransmission of socially contagious behavior? We examine a community of Twitter users over a five month period, operationalizing social contagion as 'retweeting', …

Who is Retweeting the Tweeters? Modeling Originating and Promoting Behaviors in the Twitter Network

Real-time microblogging systems such as Twitter offer users an easy and lightweight means to exchange information. Instead of writing formal and lengthy messages, microbloggers prefer to frequently broadcast several short messages to be read by other …

A Graph-Based Biomedical Literature Clustering Approach Utilizing Term's Global and Local Importance Information

In this article, we present a graph-based knowledge representation for biomedical digital library literature clustering An efficient clustering method is developed to identify the ontology-enriched k-highest density term subgraphs that capture the …