ARCHIVES

[1]. R. W. Tang and T. E. Peterson, "The inefficiencies of venture capital funding," Journal of Business Research, vol. 149, pp. 314–326,
2022. [Online]. Available: https://www.sciencedirect.com/science/article/abs/pii/S2352673423000215[2]. H. Yang, S. Ren, and C. Zhang, "Mitigating information asymmetry to acquire venture capital financing for digital startups in China:
The role of weak and strong signals," Information Systems Journal, 2023. [Online]. Available:
https://onlinelibrary.wiley.com/doi/abs/10.1111/isj.12452
[3]. Y. Mohamedali, "Matching startup founders to investors: A tool and a study," M.Eng. thesis, Dept. Elect. Eng. Comput. Sci.,
Massachusetts Institute of Technology, Cambridge, MA, USA, 2018. [Online]. Available: https://arxiv.org/pdf/1806.03241
[4]. R. Takahashi, K. Mori, and Y. Yamamoto, "Predicting startup-VC fund matches with structural embeddings and temporal investment
data," arXiv preprint arXiv:2511.23364, 2024. [Online]. Available: https://arxiv.org/pdf/2511.23364
[5]. G. Adomavicius and A. Tuzhilin, "Toward the next generation of recommender systems: A survey of the state-of-the-art and possible
extensions," IEEE Transactions on Knowledge and Data Engineering, vol. 17, no. 6, pp. 734–749, Jun. 2005. [Online]. Available:
https://ieeexplore.ieee.org/document/1423975
[6]. Y. Li, "Hybrid algorithm based on content and collaborative filtering in recommendation system optimization and simulation,"
Scientific Programming, 2021. doi: 10.1155/2021/7427409. [Online].
Available:https://onlinelibrary.wiley.com/doi/10.1155/2021/7427409
[7]. B. Hawashin, S. Alzubi, A. Mughaid, F. Fotouhi, and A. Abusukhon, "An efficient cold start solution for recommender systems based
on machine learning and user interests," in Proc. IEEE Int. Conf. Software Defined Systems (SDS), Paris, France, 2020, pp. 1–6.
[Online]. Available: https://ieeexplore.ieee.org/document/9143953/
[8]. H. Yuan and A. A. Hernandez, "User cold start problem in recommendation systems: A systematic review," IEEE Access, Dec. 2023.
[Online].
Available:https://www.researchgate.net/publication/376140792_User_Cold_Start_Problem_in_Recommendation_Systems_A_Syst
ematic_Review
[9]. K. Arora, P. Singh, and R. Sharma, "Implementation of MERN: A stack of technologies to design effective web based freelancing
applications," Int. J. Sci. Res. Comput. Sci. Eng. Inf. Technol., vol. 9, no. 3, pp. 23–32, May–Jun. 2023. [Online]. Available:
https://www.researchgate.net/publication/371676204
[10]. S. K. Shukla, S. Dubey, T. Rastogi, and N. Srivastava, "Application using MERN stack," Int. J. Modern Trends Sci. Technol., vol. 8,
no. 6, pp. 102–105, Jun. 2022. [Online]. Available:
https://www.researchgate.net/publication/361465446_Application_using_MERN_Stack
[11]. Y. Baiskar, P. Paulzagade, K. Koradia, P. Ingole, and D. Shirbhate, "MERN: A full-stack development," Int. J. Res. Appl. Sci. Eng.
Technol. (IJRASET), 2022. [Online]. Available: https://www.ijraset.com/research-paper/mern-full-stack-development
[12]. F. Pedregosa et al., "Scikit-learn: Machine learning in Python," Journal of Machine Learning Research, vol. 12, pp. 2825–2830, 2011.
[Online]. Available: https://jmlr.org/papers/v12/pedregosa11a.html
[13]. R. Mayya and P. Huang, "Startup accelerators, information asymmetry, and corporate venture capital investments," Management
Science, Mar. 2025. doi: 10.1287/mnsc.2020.03494. [Online]. Available:
https://pubsonline.informs.org/doi/10.1287/mnsc.2020.03494
[14]. Meta Platforms Inc., "React official documentation," 2024. [Online]. Available: https://react.dev/
[15]. OpenJS Foundation, "Node.js documentation," 2024. [Online]. Available: https://nodejs.org/en/docs
[16]. MongoDB Inc., "MongoDB documentation," 2024. [Online]. Available: https://www.mongodb.com/docs/