In this abstract, we first analyze the characteristics of the existing travel packages and develop a tourist-area-season topic (TAST) model. This TAST model can represent travel packages and tourists by different topic distributions, where the topic extraction is conditioned on both the tourists and the intrinsic features (i.e., locations, travel seasons) of the landscapes. Then, […]
COMBINING USER INTEREST AND SOCIAL CIRCLE WITH PERSONALIZED RECOMMENDATION
Recommender system (RS) has been successfully exploited to solve information overload. In E-Commerce, like Amazon, it is important to handling mass scale of information, such as recommending user preferred items and products. With the advent and popularity of social network, more and more users like to share their experiences, such as ratings, reviews, and blogs. […]