Fairness in recommender systems: research landscape and future directions
Recommender systems can strongly influence which information we see online, eg, on
social media, and thus impact our beliefs, decisions, and actions. At the same time, these …
social media, and thus impact our beliefs, decisions, and actions. At the same time, these …
Progress on technology use in tourism
Purpose With the rapid development and implementation of cutting-edge information
technologies in tourism and hospitality, it is necessary to update the progress of technology …
technologies in tourism and hospitality, it is necessary to update the progress of technology …
Groupim: A mutual information maximization framework for neural group recommendation
We study the problem of making item recommendations to ephemeral groups, which
comprise users with limited or no historical activities together. Existing studies target …
comprise users with limited or no historical activities together. Existing studies target …
How do I remind you? The combined effect of purchase motivation and reminding message content on tourism consumers' verification behavior
M Song, Y Wang, R Guo - Journal of Hospitality and Tourism Management, 2023 - Elsevier
Field verification of tourism live-streaming products is related to the ultimate conversion of
tourism benefits. Therefore, improving the product verification rate is critical for tourism …
tourism benefits. Therefore, improving the product verification rate is critical for tourism …
A comprehensive survey on travel recommender systems
K Chaudhari, A Thakkar - Archives of computational methods in …, 2020 - Springer
Travelling is a combination of journey, transportation, travel-time, accommodation, weather,
events, and other aspects which are likely to be experienced by most of the people at some …
events, and other aspects which are likely to be experienced by most of the people at some …
A POI group recommendation method in location-based social networks based on user influence
ZB Sojahrood, M Taleai - Expert Systems with Applications, 2021 - Elsevier
Group recommendation has attracted researchers' attention in various domains, specifically
such approaches utilizing location-based social networks (LBSNs). However, point of …
such approaches utilizing location-based social networks (LBSNs). However, point of …
Personality and recommender systems
Personality, as defined in psychology, accounts for the individual differences in users'
preferences and behaviour. It has been found that there are significant correlations between …
preferences and behaviour. It has been found that there are significant correlations between …
[HTML][HTML] SQUIRREL: A framework for sequential group recommendations through reinforcement learning
Nowadays, sequential recommendations are becoming more prevalent. A user expects the
system to remember past interactions and not conduct each recommendation round as a …
system to remember past interactions and not conduct each recommendation round as a …
Enhancing the accuracy of group recommendation using slope one
Recommender systems provide personalized suggestions to users regarding products and
services. These recommendations are generated for individual users only. However, group …
services. These recommendations are generated for individual users only. However, group …
Hybrid POI group recommender system based on group type in LBSN
Point of interest (POI) group recommender systems (GRSs) aim to suggest places for a
group of users. Compared to recommender systems for individual users, GPRs are more …
group of users. Compared to recommender systems for individual users, GPRs are more …