The widespread use of temporal aspects in user modeling indicates their importance, and
their consideration showed to be highly effective in various domains related to user …

Text mining involves a set of processes that analyze text to extract high‐quality information.
Among its large number of applications, there are experiments that tackle big data …

Considering different aspects of knowledge functioning, context is poorly understood in spite
of intuitively identifying this concept with environmental recognition. For dynamic knowledge …

Our society generates massive amounts of digital data, significant portion of which is being
archived and made accessible to the public for the current and future use. In addition …

Implicit networks that describe latent entity relations have been demonstrated to be valuable
tools in information retrieval, knowledge extraction, and search in document collections …

Our civilization creates enormous volumes of digital data, a substantial fraction of which is
preserved and made publicly available for present and future usage. Additionally, historical …

Thanks to the spread of digital photography and available devices, taking photographs has
become effortless and tolerated nearly everywhere. This makes people easily ending up …

In this thesis, we describe several methods to handle temporal dynamics in recommender
systems. Recommender systems are often deployed in highly dynamic environments such …

Old documents tend to be difficult to be analyzed and understood, not only for average users
but oftentimes for professionals as well. This is due to the context shift, vocabulary evolution …

Document understanding requires discovery of meaningful patterns in text, which in turn
involves analyzing documents and extracting useful information for a certain purpose. There …