| A Stock-movement Aware Approach for Discovering Investors' Personalized Preferences in Stock Markets | |
| Chang, Jun; Tu, Wenting | |
| 2018 | |
| 关键词 | Recommendation Systems Personalization Stock Markets Fintech |
| DOI | 10.1109/ICTAI.2018.00051 |
| 页码 | 275-280 |
| 英文摘要 | It is very useful to endow machines with the ability to understand users' personalized preferences. In this paper, we propose a novel methodology for discovering investors' personalized preferences in stock markets. Our work is able to estimate investors' personalized preferences for each stock and thus helpful for realizing investment recommendation, for instance through recommending real-time news or others' opinions on stocks preferred by the target user. Compared to conventional approaches, our method effectively incorporates stock movements for estimating investors' preference. By capturing stock movement patterns influencing users' preferences, our method can find users with a similar investment philosophy and then increase the effect of preference prediction. An experimental evaluation with two real-world datasets demonstrates the effectiveness of our approach. |
| 会议录出版者 | IEEE |
| 会议录出版地 | 345 E 47TH ST, NEW YORK, NY 10017 USA |
| 语种 | 英语 |
| WOS研究方向 | Computer Science |
| WOS记录号 | WOS:000457750200041 |
| 内容类型 | 会议论文 |
| 源URL | [http://10.2.47.112/handle/2XS4QKH4/2988]  |
| 专题 | 上海财经大学 |
| 作者单位 | Shanghai Univ Finance & Econ, Sch Informat Management & Engn, Shanghai, Peoples R China |
| 推荐引用方式 GB/T 7714 | Chang, Jun,Tu, Wenting. A Stock-movement Aware Approach for Discovering Investors' Personalized Preferences in Stock Markets[C]. 见:. |
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