A BERT-Based Multi-Criteria Recommender System for Hotel Promotion Management

نویسندگان

چکیده

Numerous reviews are posted every day on travel information sharing platforms and sites. Hotels want to develop a customer recommender system quickly effectively identify potential target customers. TripAdvisor, the website that provided data used in this study, allows customers rate hotel based six criteria: Value, Service, Location, Room, Cleanliness, Sleep Quality. Existing studies classify into positive, negative, neutral by extracting sentiment terms through simple sentimental analysis. However, method has limitations it does not consider various aspects of hotels well. Therefore, study performs fine-tuning BERT (Bidirectional Encoder Representations from Transformers) model using review with rating labels TripAdvisor site. This suggests multi-criteria recommend suitable for hotel. As values criteria insufficient, proposed uses fine-tuned predict ratings. Based predicted ratings, recommends personalized Top-N each The performance suggested is better than benchmark system, single-criteria overall

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ژورنال

عنوان ژورنال: Sustainability

سال: 2021

ISSN: ['2071-1050']

DOI: https://doi.org/10.3390/su13148039