Recommender Systems learn users' preferences and tastes in different domains to suggest potentially interesting items to users. Group Recommender Systems generate …
J Shokeen, C Rana - International Journal of Web …, 2018 - inderscienceonline.com
With the excessive growth of data over internet, it has become difficult to select relevant items and information. Recommender systems are the essential tools to handle the …
A key issue in group recommendation is how to combine the individual preferences of different users that form a group and elicit a profile that accurately reflects the tastes of all …
Providing recommendations to groups of users has become popular in many applications today. Although several group recommendation techniques exist, the generation of items …
G Bae, D Kwak, Y Lim - Proceedings of the ACM on Human-Computer …, 2024 - dl.acm.org
Nowadays, many mobile instant messenger (MIM) users employ stickers to express their emotions. Due to the increase in the variety of stickers, many MIM platforms have begun to …
Systems involving artificial intelligence (AI) are protagonists in many everyday activities. Moreover, designers are increasingly implementing these systems for groups of users in …
R Meena, S Minz - Journal of Intelligent Systems, 2019 - degruyter.com
Recommender systems have focused on algorithms for a recommendation for individuals. However, in many domains, it may be recommending an item, for example, movies …
A Bentaleb, Y El Bouzekri El Idrissi… - … Conference on Digital …, 2021 - Springer
Recommender systems (RSs) have been used worldwide in several fields to facilitate the tourists' planning activities. Tourism is one of the fields that uses RSs to reduce the overload …
When a person visits an unknown large city having multiple interesting locations, it is not so easy for him to find one location that is lively and convenient to visit in a given time-frame. To …