每年專案
摘要
The problem of finding event announcement pages for any given website is called event source page discovery. In this paper, we show a policy-based deep reinforcement learning (RL) model for the event source page discovery agent. We use two stages to train our agent, pre-training and fine-tuning. In the pre-training phase, the model is trained with limited labeled data, where each episode has a fixed number of steps. In the fine-tuning phase, the agent is trained using unlabeled data and a reward system based on an event source page classifier. The agent learns whether to continue exploring or stop exploring through an adaptive threshold. The proposed agent achieves 74% precision with a 1.28 unit cost (the average number of clicks for each event source page) on the real word data set.
原文 | ???core.languages.en_GB??? |
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主出版物標題 | Web Information Systems Engineering – WISE 2022 - 23rd International Conference, Proceedings |
編輯 | Richard Chbeir, Helen Huang, Fabrizio Silvestri, Yannis Manolopoulos, Yanchun Zhang, Yanchun Zhang |
發行者 | Springer Science and Business Media Deutschland GmbH |
頁面 | 597-606 |
頁數 | 10 |
ISBN(列印) | 9783031208904 |
DOIs | |
出版狀態 | 已出版 - 2022 |
事件 | 23rd International Conference on Web Information Systems Engineering, WISE 2021 - Biarritz, France 持續時間: 1 11月 2022 → 3 11月 2022 |
出版系列
名字 | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
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卷 | 13724 LNCS |
ISSN(列印) | 0302-9743 |
ISSN(電子) | 1611-3349 |
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???event.eventtypes.event.conference??? | 23rd International Conference on Web Information Systems Engineering, WISE 2021 |
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國家/地區 | France |
城市 | Biarritz |
期間 | 1/11/22 → 3/11/22 |
指紋
深入研究「Event Source Page Discovery via Policy-Based RL with Multi-task Neural Sequence Model」主題。共同形成了獨特的指紋。專案
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