Citation Recommendation Chatbot for Professional Communities

In recent years, the proliferation of academic literature has made it increasingly challenging for researchers and professionals to discover relevant citations for their work. To address this issue, this paper presents CitBot, a novel Citation Recommendation Chatbot designed specifically for professional communities. We describe the design, development, and evaluation of CitBot focusing on its performance and usefulness. CitBot combines the citation context with document-level embeddings utilizing SPECTER to generate personalized citation recommendations based on the community's research interests. The system is designed to seamlessly integrate with online professional platforms, providing users with citation suggestions in response to their queries. A user study was conducted to assess the chatbot's performance, comparing it to other citation recommendation tools. The findings of the study, along with a discussion of CitBot's benefits and limitations, are presented. By enhancing the citation discovery process, CitBot has the potential to improve the productivity of professional communities and transform the way researchers and practitioners access and engage with scientific knowledge.