... the positive or negative impact of yogurt attributes on sales forecasts, representing properties that support high sales figures of these attributes. Forecasts were generated using the machine learning (ML) method eXtreme Gradient Boosting (XGB), a decision tree-based ensemble learner. This model was trained...

...Qiongfang Zou; Carel Nicolaas Bezuidenhout; Imran Ishrat Purpose The purpose of this paper is to demonstrate the efficacy of machine learning (ML) in managing natural language processing tasks, specifically by developing two ML models to systematically classify a substantial number of food waste...

... of seasonality and dining options near guests’ Airbnb. Machine Learning analysis of Airbnb data suggests owners enhance revenue strategies by adjusting prices seasonally, taking nearby food amenities into account. Design/methodology/approach This study analysed 220 Airbnb establishments from Madrid, Spain...

... a crucial role in their food choices. When the fondness is low, subjective norms can override personal preferences. But when the fondness is high, individual perceptions take precedence. Originality/value Using machine learning techniques, we created a compass to guide marketing strategies and cultural...

.../methodology/approach The research employs structural equation modelling (SEM) and a machine learning approach to identify factors influencing the ABT behaviour that leaders can use to predict the prospect of the ABT in their enterprises. Information was collected from 255 respondents representing 166 SMEs...

... (AI), machine learning and augmented reality can promote agri-businesses. Design/methodology/approach The paper adopts a content and thematic analysis of 325 academic sources extracted from the Scopus database and 683 patents retrieved from the European Patent Office (EPO) dataset. Additionally...

...Kgomotso Lebelo; Muthoni Masinde; Ntsoaki Malebo; Mokgaotsa Jonas Mochane Purpose This paper aims to report on the bibliometric research trends on the application of machine learning/intelligent systems in the prediction of food contamination and the surveillance of foodborne diseases. Design...