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Recommended model of information flow based on TF-IDF
| Content Provider | Semantic Scholar |
|---|---|
| Author | Li, Liuqing Zhang, Rui |
| Copyright Year | 2015 |
| Abstract | This article constructed personalized recommendation models in online social streams based on ties strength, topic relevance and trust dimensions. The experiments on the Sina blogs data showed that the proposed method could reduce the ranks of irrelevant tweets effectively and achieve better performance than several baseline methods based on cosine and hash tags |
| File Format | PDF HTM / HTML |
| Alternate Webpage(s) | http://onlinepresent.org/proceedings/vol82_2015/2.pdf |
| Language | English |
| Access Restriction | Open |
| Subject Keyword | Baseline (configuration management) Blog Experiment Hash function Hashtag Marijuana Abuse Personalization Relevance Tf–idf Trust metric |
| Content Type | Text |
| Resource Type | Article |
