A User Interaction Topic Based Microblog Recommendation Algorithm
In contrast to the existing social relationship based micorblog recommendation,this paper analyzes the topic level of user interaction,and proposes a new method to measure the strength of this relationship.We infer the topic of the interaction relationship,and propose IBCF as an improved microblog recommendation model.Experimental results show that,compared with the current popular social recommendation methods,the proposed method performs better according to MAP and NDCG,generating more reasonable recommended results.
interaction relationship, Interaction topic, social recommendation, collaborative filtering, microblog recommendation