AI-Powered Member Matchmaking Agent

The AI-Powered Member Matchmaking Agent addresses a real, practical problem inside professional networking organizations like TiE — finding the right connection inside a large and growing member base without relying on manual searching. By combining NLP-based query understanding with TF-IDF matching and sentiment analysis, the system turns plain English queries into ranked, relevant member recommendations. It is designed to work with a growing dataset and to improve further as profiles are enriched with external business information, all while keeping member data secure and private. Overall, the system is meant to reduce manual networking effort, improve the relevance of connections made, and support stronger collaboration within the TiE community. Future work can build on this foundation by adding semantic matching and richer data enrichment to push recommendation quality even further.

[1]        Q. Zhang, J. Lu, and Y. Jin, "Artificial Intelligence in Recommender Systems," Complex & Intelligent Systems, Springer, Heidelberg, vol. 7, no. 1, 2021, pp. 439–457.   [2]       Z. Wang, J. Liao, Q. Cao, H. Qi, and Z. Wang, "Friendbook: A Semantic-Based Friend Recommendation System for Social Networks," IEEE Transactions on Mobile Computing, IEEE, vol. 14, no. 3, 2015, pp. 538–551.   [3]          N. Reimers and I. Gurevych, "Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks," Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP), Association for Computational Linguistics, Hong Kong, China, 2019, pp. 3982–3992.   [4]       S. Tuarob, N. Assavakamhaenghan, W. Tanaphantaruk, P. Suwanworaboon, S. U. Hassan, and M. Choetkiertikul, "Automatic Team Recommendation for Collaborative Software Development," Empirical Software Engineering, Springer, vol. 26, no. 4, 2021, pp. 1–53.   [5]       E. Masciari, A. Umair, and M. H. Ullah, "A Systematic Literature Review on AI-Based Recommendation Systems and Their Ethical Considerations," IEEE Access, IEEE, vol. 12, 2024, pp. 121223–121241.   [6]        G. Poveda, A. Westerski, and C. A. Iglesias, "Application of Semantic Search in Idea Management Systems," International Conference for Internet Technology and Secured Transactions, IEEE Xplore, 2012, pp. 230–236.