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Research Paper | Computer Engineering | India | Volume 12 Issue 5, May 2023
An Effective Hotel Recommendation System Based on Ensemble stacking Methods
Rakesh Verma [3] | Abhishek [183] | Amarpreet Singh
Abstract: The choice of an appropriate hotel location or lodging reservations have recently become crucial concerns for travelers. Because of the abundance of online information, searching for hotels online has become quite time - consuming & has grown rapidly. Due to its relevance in helping people make decisions and offering thorough information on the product or service they are looking for, recommender systems (RSs) are becoming more and more popular. Gathering quantitative rankings, votes, ratings, and video view counts has posed a challenge in effectively managing textual hotel evaluations. . Different machine learning techniques for hotel suggestions were created in the conventional way. The previous approach fared well, but there is still room for improvement in the hotel recommendations system, according to the report. Use ensemble stacking techniques to create a hotel recommendations system in this study. utilize ensemble stacking techniques for hotel recommendations. The suggestion for a model was developed and tested using benchmark recommendation methods. MAE and RMSE, two commonly used measurements, are utilized to evaluate the predicted effectiveness of the techniques suggested. The reliability of predictions was evaluated using MAE and RMSE, and coverage was utilized to evaluate prediction area.
Keywords: Hotel recommendation system, Sentimental analysis, Ensemble stacking methods, PCA
Edition: Volume 12 Issue 5, May 2023,
Pages: 2390 - 2394