Personal and Ubiquitous Computing
Marimuthu Karuppiah SRM Institute of Science and Technology Shehzad Ashraf Chaudhry Istanbul Gelisim University Mohammed H. Alsharif Sejong University
User behaviour analytics (UBA) is an effective strategy that provides insights into customer behaviour, which in turn can improve decision-making for business growth.
UBA is the process of collecting and analyzing the patterns of user behaviour to understand how they interact with a product or website. It helps to increase customer engagement and improves ROI and customer retention. UBA plays a significant role in marketing campaigns, especially in the retail sector and e-commerce, but also in healthcare, banking, insurance, and cybersecurity.
However, accuracy is essential, especially for large datsets, and leveraging AI techniques can help process massive amounts of unstructured raw data. Many companies are using advanced AI analytics and applications to deliver more personalized customer experiences using chatbots, sentiment analysis, personalized feeds, and deep learning models.
In this special issue we intend to explore recent trends in the use of AI for online user behaviour analytics.
Topics of interest include but are not restricted to:
Impact of user behavior analytics in business and marketing strategies Segmentation of users based on customer demographics and behavioral patterns Challenges and opportunities for AI in user behavior analytics: Innovative methods and approaches for data collection and analysis for UBA Increasing conversion through chatbots Sentiment analysis of social media data Advanced AI technologies for data analytics and prediction ML for user behavior analytics Maintaining accuracy in the prediction of customer behavior
Submissions: July 30, 2022
Author notification: October 10, 2022
Revised papers: January 15, 2023
Final notification: April 20, 2023
Submissions should be original papers and should not be under consideration for publication elsewhere. Extended versions of high-quality conference papers that are already published at relevant venues may also be considered as long as the additional contribution is substantial (at least 30% new content).
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