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doi: 10.7802/1224
This is the evaluation result from the experiment of the paper: C. Nishioka and A. Scherp "Profiling vs. Time vs. Content: What does Matter for Top-k Publication Recommendation based on Twitter Profiles?", JCDL, 2016. The paper reported the experiment of the scientific publication recommender system. The dataset contains evaluations of the recommended scientific publications made by anonymized 123 participants in the experiment.
This is the evaluation result from the experiment of the paper: C. Nishioka and A. Scherp "Profiling vs. Time vs. Content: What does Matter for Top-k Publication Recommendation based on Twitter Profiles?", JCDL, 2016. The paper reported the experiment of the scientific publication recommender system. The dataset contains evaluations of the recommended scientific publications made by anonymized 123 participants in the experiment.
KAT56 University, Research, Social Sciences, University, Research, the Sciences, the Sciences, KAT56 University, Research, the Sciences
Twitter Data
KAT56 University, Research, Social Sciences, University, Research, the Sciences, the Sciences, KAT56 University, Research, the Sciences
Twitter Data
| citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
| views | 9 |

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