Publication

Peer-Reviewed Conference Papers 

2023

1. Takehiro Takayanagi, Kiyoshi Izumi, "Harnessing Behavioral Traits to Enhance Financial Stock Recommender Systems: Tackling the User Cold Start Problem," 2023 IEEE International Conference on Big Data (Big Data'23).

2. Takehiro Takayanagi, Chung-Chi Chen, Kiyoshi Izumi, "Personalized Dynamic Recommender System for Investors," In Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR'23). (Acceptance Rate: 25.12%, 154/613).
   Paper  Resource

3. Takehiro Takayanagi, Kiyoshi Izumi, Atsuo Kato, Naoyuki Tsunedomi, Yukina Abe, "Personalized Stock Recommendation with Investors’ Attention and Contextual Information," In Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR'23).
   ACM

2022

4. Takayanagi Takayanagi, Hiroki Sakaji and Kiyoshi Izumi, "SETN: Stock Embedding Enhanced with Textual and Network Information," 2022 IEEE International Conference on Big Data (Big Data'22).
   IEEE

Journal Articles

5. Takehiro Takayanagi, and Kiyoshi Izumi, “Context-Aware Stock Recommendations with Stock’s Characteristics and Investors,’ Traits, ” 2023 IEICE TRANSACTIONS on Information and Systems.
   IEICE

6. Takehiro Takayanagi, and Kiyoshi Izumi, ”Incorporating Domain-Specific Traits into Personality-Aware Recommendations for Financial Applications, ” New Gener. Comput.

Workshop Papers

7. "Information Retrieval in Financial Documents," 2022 4th Conference on Automated Knowledge Base Construction (AKBC) Workshop, Knowledge Graphs in Finance and Economics.

Domestic Conference (Non-Refereed)

8. Takehiro Takayanagi, Masahiro Suzuki, Ryotaro Kobayashi, Hiroki Sakaji, Kiyoshi Izumi, "Causal Text Mining in the Era of Large Language Models," 2023 18th Symposium of Young Researcher Association for NLP Studies (YANS).

9. Takehiro Takayanagi, Hiroki Sakaji, Kiyoshi Izumi, "Incorporating Domain-Specific Traits into Personality-Aware Recommendations for Financial Applications", 2023 Proceedings of the Annual Conference of JSAI.
   Paper

10. Takehiro Takayanagi, Hiroki Sakaji, Kiyoshi Izumi, "Personalization of Stock Recommendations Considering Stock Characteristics and Investor Traits "(In Japanese), 2023 29th Annual Meeting of the Association for Natural Language Processing (NLP).
    Paper

11. Takehiro Takayanagi, Hiroki Sakaji, Kiyoshi Izumi, "Proposal of a Thematic Stock Extraction Method Using Individual Stock Information and Inter-stock Information" (In Japanese), 2022 Proceedings of the Annual Conference of JSAI.
    Paper

12. Takehiro Takayanagi, Hiroki Sakaji, Kiyoshi Izumi, "Proposal of a Stock Embedding Method Considering Individual Stock Information and Inter-stock Information" (In Japanese), 2022 28th Annual Meeting of the Association for Natural Language Processing (NLP).
    Paper