International Journal of Innovative Research in Computer and Communication Engineering
ISSN Approved Journal | Impact factor: 8.771 | ESTD: 2013 | Follows UGC CARE Journal Norms and Guidelines
| Monthly, Peer-Reviewed, Refereed, Scholarly, Multidisciplinary and Open Access Journal | High Impact Factor 8.771 (Calculated by Google Scholar and Semantic Scholar | AI-Powered Research Tool | Indexing in all Major Database & Metadata, Citation Generator | Digital Object Identifier (DOI) |
| TITLE | Machine Learning in Hospitality: Interpretable Forecasting of Booking Cancellations |
|---|---|
| ABSTRACT | Machine learning in hospitality is an emerging area that helps hotels and booking platforms better understand customer behavior and improve decision-making. One of the most important challenges in this domain is booking cancellation prediction, where knowing in advance whether a reservation is likely to be canceled can help hotels optimize room allocation, pricing strategies, and revenue management. By analyzing historical booking data, customer profiles, seasonal trends, and booking patterns, predictive models can forecast cancellations before they occur. Timely identification of potential cancellations enables hotels to reduce revenue loss, improve occupancy rates, and make proactive decisions such as overbooking strategies or targeted customer engagement. Experimental studies in this area show that interpretable machine learning models can achieve competitive accuracy while also providing transparency in decision-making compared to traditional black-box models. |
| AUTHOR | K.APPALA NAIDU, P. ESWAR, DR T.V.S SRIRAM PG Student, Dept. of MCA, Nadimipalli Satyanarayana Raju Institute of Technology (NSRIT), Visakhapatnam, Andhra Pradesh, India Asst. Professor, Dept. of MCA, Nadimipalli Satynarayana Raju Institue of Technology (NSRIT), Visakhapatnam, Andhra Pradesh, India Professor & HOD, Dept. of MCA, Nadimipalli Satynarayana Raju Institue of Technology (NSRIT), Visakhapatnam, Andhra Pradesh, India |
| VOLUME | 186 |
| DOI | DOI: 10.15680/IJIRCCE.2026.1407035 |
| pdf/35_Machine Learning in Hospitality Interpretable Forecasting of Booking Cancellations.pdf | |
| KEYWORDS | |
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