Abstract
Methods, system, and computer program products are provided for enhancing travel recommendation systems using large language models. The solution enhances the current travel recommendation system by leveraging large language models and the Doc2Vec algorithm to better capture and utilize the rich semantic information associated with each merchant. By augmenting merchant information with additional features like emoji representations and using Doc2Vec to generate merchant embeddings, the solution effectively improves the quality and precision of travel recommendations. This leads to a personalized and improved user experience in travel planning and booking.
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.
Recommended Citation
JIANG, ZHIMENG; BENDRE, MANGESH SHRIKANT; CHEN, HUIYUAN; FAN, XIRAN; ZHENG, YAN; and DAS, MAHASHWETA, "METHOD, SYSTEM AND COMPUTER PROGRAM FOR ENHANCING TRAVEL RECOMMENDATION USING LARGE LANGUAGE MODELS", Technical Disclosure Commons, (April 15, 2025)
https://www.tdcommons.org/dpubs_series/8009