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Point-of-interest recommender systems based on location-based social networks: a survey from an experimental perspective
Point-of-Interest recommendation is an area of increasing research and development
interest within the widely adopted technologies known as Recommender Systems. Among …
interest within the widely adopted technologies known as Recommender Systems. Among …
[HTML][HTML] Text mining of user-generated content (UGC) for business applications in e-commerce: A systematic review
S Li, F Liu, Y Zhang, B Zhu, H Zhu, Z Yu - Mathematics, 2022 - mdpi.com
In the Web2. 0 era, user-generated content (UGC) provides a valuable source of data to aid
in understanding consumers and driving intelligent business. Text mining techniques, such …
in understanding consumers and driving intelligent business. Text mining techniques, such …
Hotel recommendation algorithms based on online reviews and probabilistic linguistic term sets
C Cui, M Wei, L Che, S Wu, E Wang - Expert Systems with Applications, 2022 - Elsevier
The continuous development of e-commerce recommendation systems enables people to
better obtain the products they need, saving economic and time costs. When recommending …
better obtain the products they need, saving economic and time costs. When recommending …
Development of novel fashion design knowledge base by integrating conflict rule processing mechanism and its application in personalized fashion recommendations
X Ling, J Zhenyu, Y Hong, Z Pan - Textile Research Journal, 2023 - journals.sagepub.com
Currently, consumers are increasing the demand for personalized fashion recommendation
systems, especially in e-commerce. The success of fashion recommendation largely relies …
systems, especially in e-commerce. The success of fashion recommendation largely relies …
A hotel recommender system based on multi-criteria collaborative filtering
Recommendation systems have lately gained popularity in a variety of applications due to
their ability to operate as information filters, thus delivering useful suggestions to users …
their ability to operate as information filters, thus delivering useful suggestions to users …
[HTML][HTML] Recommender Systems Applications: Data Sources, Features, and Challenges
YH Alfaifi - Information, 2024 - mdpi.com
In recent years, there has been growing interest in recommendation systems, which is
matched by their widespread adoption across various sectors. This can be attributed to their …
matched by their widespread adoption across various sectors. This can be attributed to their …
Extra-Tree Classification of Customer Review for Hotel Recommendation
A Patel, N Shah, VB Parul, KS Suthar… - 2023 4th International …, 2023 - ieeexplore.ieee.org
The importance of hotel recommendation systems has grown with the tourist sector. In recent
years, as online hotel booking systems have grown more commonplace, consumer …
years, as online hotel booking systems have grown more commonplace, consumer …
Can Optimized Genetic Algorithms Improve the Effectiveness of Homestay Recommendation Systems in Smart Villages? A Case of Thailand
P Suanpang, P Jamjuntr, A Lertkornkitja… - … Journal of Tourism …, 2024 - Wiley Online Library
This paper introduces a novel approach to optimize genetic algorithms (GAs) for homestay
recommendation systems, specifically designed for smart village tourism destinations …
recommendation systems, specifically designed for smart village tourism destinations …
Deep click interest network for reranking hotels
Nowadays, e-commerce platforms of hotels have become a new trend to help people book
hotels online. Interest modeling aims to automatically construct user interests that are critical …
hotels online. Interest modeling aims to automatically construct user interests that are critical …
[HTML][HTML] Hybrid Quality-Based Recommender Systems: A Systematic Literature Review
B Sabiri, A Khtira, B El Asri, M Rhanoui - Journal of Imaging, 2025 - pmc.ncbi.nlm.nih.gov
As technology develops, consumer behavior and how people search for what they want are
constantly evolving. Online shop** has fundamentally changed the e-commerce industry …
constantly evolving. Online shop** has fundamentally changed the e-commerce industry …