Recommender systems help users by recommending items, such as products and services,
that can be of interest to these users. Context-aware recommender systems have been …

Nowadays, most of e-learning systems embody online discussion forums as a medium for
collaborative learning that supports knowledge sharing and information exchanging …

One of the most prevalent recommendation systems is ranking-oriented collaborative
filtering which employs ranking aggregation. The collaborative filtering study recently …

The current product design not only takes into account the function and reliability, but also
concerns about the affective aspects in order to meet the consumers' emotional needs …

Content-based recommender systems (CBRSs) have shown to be highly effective for
enhancing user experience in various problems and application domains. Most existing …

The ever-growing volume of information within online health communities (OHCs) presents
an urgent need for new solutions that improve the efficiency of information organization and …

Online discussion forum is one of e-learning activities to construct learner's knowledge and
interact with their classmates, which is also a module of Learning Management System …

Latent Semantic Analysis uses Singular Value Decomposition (SVD) to effectively retrieve
relevant information from the information corpus. However, LSA has a high computational …

Sažetak Speech coding plays a crucial role in maintaining speech quality while optimizing
network resources and expediting transmission, as well as facilitating the storage of speech …

This dissertation focuses on understanding and supporting individual and collective
sensemaking within online health communities (OHCs). This major goal was achieved in …