ISTS: Implicit social trust and sentiment based approach to recommender systems
Using Online Social Networks as new source of data in products recommendations. Modelling implicit trust between friends using microblogging features in Twitter. A probabilistic method to compute sentiment in micro-reviews into numerical rating. Comparing different regression algorithms to predict ratings for cold-start problem. Support Vector Regression shows the highest accuracy in ratings prediction.
trust recommender systems microblogging machine learning sentiment analysis