... be obtained by the product of latent factor vectors for corresponding users and items. The CF methods, however, suffer from data sparsity and cold-start problems. Hybrid recommender systems (Burke, 2002) make item suggestions by integrating multiple types of recommendation techniques such as CBF and CF...

...Fatemeh Alyari; Nima Jafari Navimipour Purpose This paper aims to identify, evaluate and integrate the findings of all relevant and high-quality individual studies addressing one or more research questions about recommender systems and performing a comprehensive study of empirical research...

...Duen-Ren Liu; Yun-Cheng Chou; Chi-Ching Chung; Hsiu-Yu Liao Purpose Due to the rapidly increasing volume of users and products in virtual worlds, recommender systems are an important feature in virtual worlds; they can help solve information overload problems. Virtual world users are able...

... variables regarding simplicity of English sentences, a ranking algorithm is presented in the proposed model. According to this ranking, the simplest sentence in the recommender system (RS) is selected and recommended to the user. Furthermore, Pearson correlation coefficient was used for checking the degree...