Algorithms that create recommendations based on observed data have significant
commercial value for online retailers and many other industries. Recommender systems …

Tensor factorization has been applied in recommender systems to discover latent factors
between multidimensional data such as time, place, and social context. However, tensor …

Purpose The basic assumption is that there is a symmetric relationship between review
valence and rating, but what if review valence and rating were linked asymmetrically? There …

In parallel with the major developments witnessed in information technologies, social media,
supported by its broad area of usage, is gaining significance in every field, with the tourism …

The aim of this paper is to provide logical foundations for knowledge-based recommender
systems, for which, unlike other problem solving tasks, a comprehensive formalization is not …

Given that an important function of recommender systems is to help people make better
choices, people who design and study recommender systems ought to have a good …

Özet Teknolojik alanda yaşanan gelişmelerle birlikte sosyal ağların tüketiciler tarafından
kullanılmaya başlamasıyla destinasyonlar ve destinasyonlarda yer alan işletmeler hakkında …

Based on the context-aware environment, in this paper, the adaptive interest models are
reviewed. And the academic information intelligent recommendation systems of university …

Bilgi teknolojilerinde yaşanan büyük çaplı gelişmelerle birlikte, dünya genelinde geniş bir
kullanım alanına sahip olan sosyal paylaşım siteleri ve bu sitelerin özelinde bilgi …

In the last few decades, the term “algorithm” has become central to the social sciences,
albeit its roots are more consolidated and evolved. The origins of the term are indeed dated …