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- W2766457647 abstract "Interaction behaviors of users on different platforms on the Internet make user-generated content spread widely and become popular. How to model and predict the popularity of topic concerned by users is vital for many fields. Aiming at the problem of topic popularity prediction on microblog platform, a popularity prediction method based on similar topics and co-occurrence topics is proposed. The method is further evaluated with the Sina Weibo dataset. The experimental results show that our method can have relatively better performance in predicting topic popularity than the baseline methods." @default.
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- W2766457647 date "2017-11-01" @default.
- W2766457647 modified "2023-09-27" @default.
- W2766457647 title "Predicting Popularity of Topic Based on Similarity Relation and Co-occurrence Relation" @default.
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- W2766457647 doi "https://doi.org/10.1007/978-3-319-69096-4_23" @default.
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