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Takehiro Takayanagi
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2020 – today
- 2024
- [j2]Takehiro Takayanagi, Kiyoshi Izumi:
Incorporating Domain-Specific Traits into Personality-Aware Recommendations for Financial Applications. New Gener. Comput. 42(4): 635-649 (2024) - [i3]Takehiro Takayanagi, Masahiro Suzuki, Ryotaro Kobayashi, Hiroki Sakaji, Kiyoshi Izumi:
Is ChatGPT the Future of Causal Text Mining? A Comprehensive Evaluation and Analysis. CoRR abs/2402.14484 (2024) - [i2]Takehiro Takayanagi, Hiroki Sakaji, Kiyoshi Izumi:
SETN: Stock Embedding Enhanced with Textual and Network Information. CoRR abs/2408.02899 (2024) - [i1]Takehiro Takayanagi, Hiroya Takamura, Kiyoshi Izumi, Chung-Chi Chen:
Beyond Turing Test: Can GPT-4 Sway Experts' Decisions? CoRR abs/2409.16710 (2024) - 2023
- [j1]Takehiro Takayanagi, Kiyoshi Izumi:
Context-Aware Stock Recommendations with Stocks' Characteristics and Investors' Traits. IEICE Trans. Inf. Syst. 106(10): 1732-1741 (2023) - [c4]Takehiro Takayanagi, Kiyoshi Izumi:
Harnessing Behavioral Traits to Enhance Financial Stock Recommender Systems: Tackling the User Cold Start Problem. IEEE Big Data 2023: 5694-5703 - [c3]Takehiro Takayanagi, Chung-Chi Chen, Kiyoshi Izumi:
Personalized Dynamic Recommender System for Investors. SIGIR 2023: 2246-2250 - [c2]Takehiro Takayanagi, Kiyoshi Izumi, Atsuo Kato, Naoyuki Tsunedomi, Yukina Abe:
Personalized Stock Recommendation with Investors' Attention and Contextual Information. SIGIR 2023: 3339-3343 - 2022
- [c1]Takehiro Takayanagi, Hiroki Sakaji, Kiyoshi Izumi:
SETN: Stock Embedding Enhanced with Textual and Network Information. IEEE Big Data 2022: 2377-2382
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