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| Main Authors: | , , , , , |
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| Format: | Preprint |
| Published: |
2024
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| Subjects: | |
| Online Access: | https://arxiv.org/abs/2407.08125 |
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| _version_ | 1866929556289486848 |
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| author | Jin, Yixin Wang, Meiqi Li, Meng Zhou, Wenjing Shen, Yi Liu, Hao |
| author_facet | Jin, Yixin Wang, Meiqi Li, Meng Zhou, Wenjing Shen, Yi Liu, Hao |
| contents | In this paper, we describe our approaches to TREC Real-Time Summarization of Twitter. We focus on real time push notification scenario, which requires a system monitors the stream of sampled tweets and returns the tweets relevant and novel to given interest profiles. Dirichlet score with and with very little smoothing (baseline) are employed to classify whether a tweet is relevant to a given interest profile. Using metrics including Mean Average Precision (MAP, cumulative gain (CG) and discount cumulative gain (DCG), the experiment indicates that our approach has a good performance. It is also desired to remove the redundant tweets from the pushing queue. Due to the precision limit, we only describe the algorithm in this paper. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2407_08125 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Real-Time Summarization of Twitter Jin, Yixin Wang, Meiqi Li, Meng Zhou, Wenjing Shen, Yi Liu, Hao Machine Learning In this paper, we describe our approaches to TREC Real-Time Summarization of Twitter. We focus on real time push notification scenario, which requires a system monitors the stream of sampled tweets and returns the tweets relevant and novel to given interest profiles. Dirichlet score with and with very little smoothing (baseline) are employed to classify whether a tweet is relevant to a given interest profile. Using metrics including Mean Average Precision (MAP, cumulative gain (CG) and discount cumulative gain (DCG), the experiment indicates that our approach has a good performance. It is also desired to remove the redundant tweets from the pushing queue. Due to the precision limit, we only describe the algorithm in this paper. |
| title | Real-Time Summarization of Twitter |
| topic | Machine Learning |
| url | https://arxiv.org/abs/2407.08125 |