Matrix Factorization is a successful approach for generating an effective recommender
system. However, most existing matrix factorization methods suffer from the sparsity and cold …

Unemployment constitutes one of the major problems in developing countries, with factors
such as unavailable skills and the proliferation of unskilled workers being cited as main …

Predicting potential facts in the future, Temporal Knowledge Graph (TKG) extrapolation
remains challenging because of the deep dependence between the temporal association …

Due to the expansion of e-business, the availability of products on the internet has massively
increased. Finding suitable stuff from the vast array of products available on the internet is a …

Aspect-based sentiment analysis aims to identify sentiment polarity of social media users
toward different aspects. Most recent methods adopt the aspect-centric latent tree to connect …

In the current digital landscape, both information consumers and producers encounter
numerous challenges, underscoring the importance of recommender systems (RS) as a vital …

This study examines the challenges and opportunities of using group recommendation
systems in an information overload scenario. Social network recommendation systems are …

Purpose The increasingly competitive hotel industry and emerging customer trends where
guests are more discerning and want a personalized experience has led to the need of …

Personalization plays a crucial role in significantly enhancing customer satisfaction within
the hotel industry. Customers, with their unique preferences, often rely on previous customer …

Personalized recommender systems play a crucial role in assisting users in discovering
items of interest from vast amounts of information across various domains. However …