… In summary, no work so far brings the learning of personalized tie type preference to
social recommendation. This is no surprise, since the combination is very specific. …

… social recommendation from the viewpoint of online graph regularized user preference …
Wang, “Incorporating heterogeneous information for personalized tag recommendation in social …

… [2] demonstrate that individual preference is also a significant factor in social network… social
recommendation area. The most salient feature of the shared datasets is that objective social …

… social networks. It first introduces a model that provides better subscription to the user through
a dynamic personalized recommendation … suggestions provided by the social media to the …

… structural information, SREPS is able to learn latent vectors in the essential preference
space to produce personalized recommendations. Comprehensive experimental results on four …

… based on users’ preference and overlook the … and preference in social recommendation.
Besides, by analyzing four real-world social recommendation datasets, we observe that social …

… social trust and traditional offline social trust in facilitating personalized recommendation, …
Then, we predict the preference of a target user and personalize recommend item based on …

… of both individual preference and interpersonal influence. However, there is a main difference
between user interest factor in our model and individual preference in ContextMF [2]: we …

… ; thus, it is challenging to coordinate social information and rating behaviors for a same …
a recommendation model with Implicit Preference Communities from user ratings and social …

… recommendation by enhancing not only the user location preference model but also
recommendation … hybrid user location preference model by combining the preference extracted …