Systematic literature review identifies trends and gaps in recommender systems and consumer behavior, suggesting further exploration in AI applications.
Key Points
Research found that the integration of AI in recommender systems enhances consumer purchasing behavior.
Analysis of 312 articles highlighted four key themes in the study of recommender systems and consumer preferences.
A bibliometric analysis provided insights into emerging trends, including trust and privacy in personalized commerce.
Study indicates a need for adaptive and privacy-conscious recommendations to maintain consumer trust and engagement.