Titlebook: Social Media Processing; 4th National Confere Xichun Zhang,Maosong Sun,Xuanjing Huang Conference proceedings 2015 Springer Science+Business

PAGAN

Tianyong Hao,Wenxiu Xie,Chun Chen,Yuming Shen Es kann daher nur die Zielsetzung dieses Teils V. sein, die in den Teilen I. bis IV. gemachten Ausführungen abzurunden. Die in Sch?necker/Nippa ver?ffentlichten Beitr?ge machen klar, da? auch die z.Zt. auf dem Markt befindlichen Unterstützungsinstrumente z.T. deutlich unterschiedliche Ausrichtungen

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Chauvinistic

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Personalized Hashtag Suggestion for Microblogs,ow that the proposed method outperforms state-of-the-art methods. We also show some case studies that demonstrate the advantages of considering both the content and user’s personal preferences for hashtag suggestion.

FER

Predicting Who Will Retweet or Not in Microblogs Network,g an information gain method. There were twelve features showing significant association with the retweeting predictive accuracy through lots of experiments. Experimental results showed that using these twelve features, we could train a novel predictive model and achieved the predict accuracy up?to 98?%.

享樂主義者

Personalized Microtopic Recommendation with Rich Information, visited and commented on. Microtopic recommendation can facilitate users to efficiently acquire information by summarizing trending online topics and feeding comments with high quality. However, it is non-trivial to recommend microtopics to the users of Sina Weibo to satisfy their information needs

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老人病學(xué)

A Gaussian Copula Regression Model for Movie Box-office Revenue Prediction with Social Media,relationships among these features. In this paper, we propose a novel Gaussian Copula regression model to study the correlation among predictive features. In particular, we first extract structured movie metadata and user activities on social media as features. We then apply Gaussian kernel to smoot

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