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- W2920804937 abstract "Content recommendation, and other applications, may require a ranking of popular accounts relevant to a specific geographic area. Ranking requires well-formed city communities that are representative of the geographic area. This task is complicated due to Twitter users' inherently noisy locations. In this paper, we propose a novel method for establishing city-level communities by exploiting ties to known local celebrity accounts discovered via automatic Google searches. A modified TF-IDF measure is used to rank celebrity users that are influential in one city community and not others. This approach allows for a targeted collection that is orders of magnitude smaller than comparable approaches, but still achieves better performance." @default.
- W2920804937 created "2019-03-22" @default.
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- W2920804937 date "2019-01-01" @default.
- W2920804937 modified "2023-09-27" @default.
- W2920804937 title "Augmenting Google Search in Ranking Twitter Users" @default.
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- W2920804937 doi "https://doi.org/10.1109/icosc.2019.8665594" @default.
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