Fairness in package-to-group recommendations
Recommending packages of items to groups of users has several applications, including
recommending vacation packages to groups of tourists, entertainment packages to groups of …
recommending vacation packages to groups of tourists, entertainment packages to groups of …
A Survey on Bundle Recommendation: Methods, Applications, and Challenges
In recent years, bundle recommendation systems have gained significant attention in both
academia and industry due to their ability to enhance user experience and increase sales by …
academia and industry due to their ability to enhance user experience and increase sales by …
Analysis of travellers' online reviews in social networking sites using fuzzy logic approach
Social media and digital technology have had significant contributions and impacts on the
hospitality and accommodation businesses. Online traveller reviews have been rich sources …
hospitality and accommodation businesses. Online traveller reviews have been rich sources …
Recommending packages to groups
The success of recommender systems has made them the focus of a massive research effort
in both industry and academia. Recent work has generalized recommendations to suggest …
in both industry and academia. Recent work has generalized recommendations to suggest …
On-site trip planning support system based on dynamic information on tourism spots
M Hidaka, Y Kanaya, S Kawanaka, Y Matsuda… - Smart Cities, 2020 - mdpi.com
Recently, due to the drastic increase in foreign tourists coming to Japan, there has been a
demand to provide smart tourism services that enable inbound tourists to comfortably enjoy …
demand to provide smart tourism services that enable inbound tourists to comfortably enjoy …
Learning from sets of items in recommender systems
Most of the existing recommender systems use the ratings provided by users on individual
items. An additional source of preference information is to use the ratings that users provide …
items. An additional source of preference information is to use the ratings that users provide …
Learning representations of hierarchical slates in collaborative filtering
E Elahi, A Chandrashekar - Proceedings of the 14th ACM Conference on …, 2020 - dl.acm.org
We are interested in building collaborative filtering models for recommendation systems
where users interact with slates instead of individual items. These slates can be hierarchical …
where users interact with slates instead of individual items. These slates can be hierarchical …
Personalized tourist package recommendation using graph based approach
R Hti, MS Desarkar - Adjunct Publication of the 26th Conference on User …, 2018 - dl.acm.org
Location Based Social Networks (LBSN) benefit the users by allowing them to share their
locations and life moments with their friends. The users can also review the locations they …
locations and life moments with their friends. The users can also review the locations they …
A versatile package recommendation framework aiming at preference score maximization
Package recommendation systems have gained in popularity especially in the tourism
domain, where they propose combinations of different types of attractions that can be visited …
domain, where they propose combinations of different types of attractions that can be visited …
Recommending packages with validity constraints to groups of users
The success of recommender systems has made them the focus of a massive research effort
in both industry and academia. Recent work has generalized recommendations to suggest …
in both industry and academia. Recent work has generalized recommendations to suggest …