Recommendation based on review texts and social communities: a hybrid model
Z Ji, H Pi, W Wei, B Xiong, M Woźniak… - IEEE …, 2019 - ieeexplore.ieee.org
With the development of e-commerce, a large amount of personalized information is
produced daily. To utilize diverse personalized information to improve recommendation …
produced daily. To utilize diverse personalized information to improve recommendation …
A hotel recommendation system based on customer location: a link prediction approach
B Kaya - Multimedia Tools and Applications, 2020 - Springer
Hotel recommendation is one of the most used application areas in recommendation
systems. So far, many hotel recommendation systems have been proposed. Most of these …
systems. So far, many hotel recommendation systems have been proposed. Most of these …
A grouping hotel recommender system based on deep learning and sentiment analysis
Recommender systems are important tools for users to identify their preferred items and for
businesses to improve their products and services. In recent years, the use of online …
businesses to improve their products and services. In recent years, the use of online …
Recommender systems in e-commerce
T Salunke, U Nichite - arXiv preprint arXiv:2212.13910, 2022 - arxiv.org
E-commerce recommender systems are becoming increasingly important in the current
digital world. They are used to personalize user experience, help customers find what they …
digital world. They are used to personalize user experience, help customers find what they …
From hotel reviews to city similarities: A unified latent-space model
A large portion of user-generated content published on the Web consists of opinions and
reviews on products, services, and places in textual form. Many travellers and tourists …
reviews on products, services, and places in textual form. Many travellers and tourists …
Aspect based hotel recommendation system using dilated multichannel CNN and BiGRU with hyperbolic linear unit
G Jai Arul Jose, M Mastan, LAH Al-Nuaimy - International Journal of …, 2024 - Springer
In recent years, the recommendation system has become one of the important tools of e-
commerce, which provides suggestions to the user for some resources such as hotels …
commerce, which provides suggestions to the user for some resources such as hotels …
Hotel recommendation system based on user profiles and collaborative filtering
Nowadays, people start to use online reservation systems to plan their vacations since they
have vast amount of choices available. Selecting when and where to go from this large …
have vast amount of choices available. Selecting when and where to go from this large …
A comprehensive mechanism for hotel recommendation to achieve personalized search engine
Search engines are as important as recommender systems for hotel selections. However,
the recommended lists of search engines are usually non-personalized and low accuracy. In …
the recommended lists of search engines are usually non-personalized and low accuracy. In …
[PDF][PDF] Addressing Overchoice: Automatically Generating Meaningful Filters from Hotel Reviews.
I Varga, Y Hayashibe - RecTour@ RecSys, 2021 - ceur-ws.org
Authors' addresses: István Varga, istvan@ megagon. ai, Megagon Labs, Tokyo, Japan,
Recruit Co., Ltd., 7-3-5 Ginza Hulic GINZA7 Bld 3F Chuo-ku, Tokyo, Japan, 104-8227; Yuta …
Recruit Co., Ltd., 7-3-5 Ginza Hulic GINZA7 Bld 3F Chuo-ku, Tokyo, Japan, 104-8227; Yuta …
Improved hotel recommendation system using machine learning technique
The report below shows how a hotel suggestion system based on the user's location was
implemented. Many methods are utilized to raise the accuracy percentage; numerous …
implemented. Many methods are utilized to raise the accuracy percentage; numerous …