Recently, academics and the corporate sector have paid attention to serverless computing,
which enables dynamic scalability and an economic model. In serverless computing, users …

Cold Start problems in recommender systems pose various challenges in the adoption and
use of recommender systems, especially for new item uptake and new user engagement …

While the recent emergence of a large number of online course resources has made life
more convenient for many people, it has also caused information overload. According to a …

The recommender systems aim to predict potential demands of users by analyzing their
preferences and provide personalized recommendation services. User preferences can be …

An e-learning recommender system (RS) aims to generate personalized recommendations
based on learner preferences and goals. The existing RSs in the e-learning domain still …

The industry of e-commerce (EC) has become more popular and creates tremendous
business opportunities for many firms. Modern societies are gradually shifting towards …

E-learning recommender systems are gaining significance nowadays due to its ability to
enhance the learning experience by providing tailor-made services based on learner …

Online travel platforms (OTPs), eg, bookings. com and Ctrip. com, deliver travel experiences
to online users by providing travel-related products. Although much progress has been …

Nowadays, Recommender Systems have played a crucial role in several entertainment
scenarios by making personalised recommendations and guiding the entire users' journey …

The recommendation system (RS) suffers badly from the cold start problem (CSP) that
occurs due to the lack of sufficient information about the new customers, purchase history …