Twitter-based user modeling for news recommendations
作者： Geert-Jan Houben , Ke Tao , Fabian Abel , Qi Gao
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摘要: In this paper, we study user modeling on Twitter. We investigate different strategies for mining interest profiles from microblogging activities ranging that analyze the semantic meaning of Twitter messages to adapt temporal patterns can be observed in behavior. evaluate quality methods context a personalized news recommendation system. Our results reveals an understanding microposts is key generating high-quality profiles.
ijcai.org参考文章(11)
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