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Point-of-interest recommender systems based on location-based social networks: a survey from an experimental perspective
Point-of-Interest recommendation is an area of increasing research and development
interest within the widely adopted technologies known as Recommender Systems. Among …
interest within the widely adopted technologies known as Recommender Systems. Among …
Sentiment-based predictive models for online purchases in the era of marketing 5.0: a systematic review
The convergence of artificial intelligence (AI), big data (DB), and Internet of Things (IoT) in
Society 5.0, has given rise to Marketing 5.0, revolutionizing personalized customer …
Society 5.0, has given rise to Marketing 5.0, revolutionizing personalized customer …
User behaviour modeling, recommendations, and purchase prediction during shop** festivals
This work investigates user online browsing and purchasing behaviors, and predicts
purchasing actions during a large shop** festival in China. To improve online shop** …
purchasing actions during a large shop** festival in China. To improve online shop** …
Customer purchase behavior prediction in e-commerce: A conceptual framework and research agenda
Digital retailers are experiencing an increasing number of transactions coming from their
consumers online, a consequence of the convenience in buying goods via E-commerce …
consumers online, a consequence of the convenience in buying goods via E-commerce …
Analysis of users' behavior in structured e-commerce websites
Online shop** is becoming more and more common in our daily lives. Understanding
users' interests and behavior is essential to adapt e-commerce Web sites to customers' …
users' interests and behavior is essential to adapt e-commerce Web sites to customers' …
Hierarchical anomaly detection and multimodal classification in large-scale photovoltaic systems
Operation anomalies are common phenomena in large-scale solar farms. Effective anomaly
detection and classification is essential for improving operation reliability and electricity …
detection and classification is essential for improving operation reliability and electricity …