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Research commentary on recommendations with side information: A survey and research directions
Recommender systems have become an essential tool to help resolve the information
overload problem in recent decades. Traditional recommender systems, however, suffer …
overload problem in recent decades. Traditional recommender systems, however, suffer …
Responsible processing of crowdsourced tourism data
Online tourism crowdsourcing platforms, such as AirBnB, Expedia or TripAdvisor, rely on the
continuous data sharing by tourists and businesses to provide free or paid value-added …
continuous data sharing by tourists and businesses to provide free or paid value-added …
[HTML][HTML] Using ChatGPT and persuasive technology for personalized recommendation messages in hotel upselling
Recommender systems have become indispensable tools in the hotel hospitality industry,
enabling personalized and tailored experiences for guests. Recent advancements in large …
enabling personalized and tailored experiences for guests. Recent advancements in large …
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 …
Online commodity recommendation model for interaction between user ratings and intensity-weighted hierarchical sentiment: A case study of LYCOM
The online commodity recommendation (OCR) model mines users' historical behavior
characteristics and recommends products that may be of interest according to user …
characteristics and recommends products that may be of interest according to user …
Multi-factor ranking method for trading-off accuracy, diversity, novelty, and coverage of recommender systems
Collaborative filtering (CF) is one of the most popular and commonly used recommendation
methods. Currently, most rating prediction CF methods select top-N recommendations …
methods. Currently, most rating prediction CF methods select top-N recommendations …
How smart city construction affects destination tourism efficiency
L Ma, C Liu, Y Zhan - Tourism Economics, 2024 - journals.sagepub.com
To investigate the impact of smart city construction (SCC) on destination tourism efficiency
(TE), this study analyzed the impact paths and mechanisms of SCC on destination TE from 3 …
(TE), this study analyzed the impact paths and mechanisms of SCC on destination TE from 3 …
A novel hotel recommendation method based on personalized preferences and implicit relationships
On tourism websites, hotel recommendations have drawn growing attention from
researchers, as they can help customers select a satisfactory hotel from many options with …
researchers, as they can help customers select a satisfactory hotel from many options with …
Where the host is part of the deal: Social and economic value in the platform economy
In many platform-mediated services, people share resources in a way that involves social
value beyond mere economic considerations. Considering peer-to-peer accommodation …
value beyond mere economic considerations. Considering peer-to-peer accommodation …
A hotel recommendation system based on customer location: a link prediction approach
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 …