Personalized resource recommendation method in social tagging system
Zhang Lei · Computer Engineering and Applications Journal · 2011
Many personalized resource recommendation methods based on social tagging ignore the different affects on rec-ommendation of users’long and short interests and polysemous tag for improving precision.In order to solve these problems, the metrics are designed for making a clear distinction between user’s long and short interests—— user’s tag preference weight and user’s resource preference weight.Based on the above,a novel hybrid recommend method has been proposed, which equilibrates both strength of content-based and collaborative filtering recommendation.The proposed method can elimi-nate influence of polysemous tag by adding the calculation factor of tagging the same resource tab vectors similarity.The experimental results show that this method for personalized resource recommendation in the social tagging system outper-forms other recommendation algorithms.