Research on Twitter User Tag Preference Prediction Based on Thompson Sampling Algorithm
Twitter's user behaviour data is crucial for studying user patterns and content recommendation. To achieve this goal, the paper first preprocesses a Twitter user dataset obtained from Kaggle. The dataset includes over 40,000 objects in JSON format, focusing on users who tweeted on trending topi...
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| Main Author: | |
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| Format: | Article |
| Language: | English |
| Published: |
EDP Sciences
2025-01-01
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| Series: | ITM Web of Conferences |
| Online Access: | https://www.itm-conferences.org/articles/itmconf/pdf/2025/04/itmconf_iwadi2024_01014.pdf |
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