A survey of active learning in collaborative filtering recommender systems
In collaborative filtering recommender systems user's preferences are expressed as ratings
for items, and each additional rating extends the knowledge of the system and affects the …
for items, and each additional rating extends the knowledge of the system and affects the …
A survey on personality-aware recommendation systems
With the emergence of personality computing as a new research field related to artificial
intelligence and personality psychology, we have witnessed an unprecedented proliferation …
intelligence and personality psychology, we have witnessed an unprecedented proliferation …
Context-aware recommender systems
G Adomavicius, A Tuzhilin - Recommender systems handbook, 2010 - Springer
The importance of contextual information has been recognized by researchers and
practitioners in many disciplines, including e-commerce personalization, information …
practitioners in many disciplines, including e-commerce personalization, information …
A systematic literature review of recent advances on context-aware recommender systems
P Mateos, A Bellogín - Artificial Intelligence Review, 2025 - Springer
Recommender systems are software mechanisms whose usage is to offer suggestions for
different types of entities like products, services, or contacts that could be useful or …
different types of entities like products, services, or contacts that could be useful or …
Context-aware recommender systems: From foundations to recent developments
The importance of contextual information has been recognized by researchers and
practitioners in many disciplines, including e-commerce, personalization, information …
practitioners in many disciplines, including e-commerce, personalization, information …
Alleviating the new user problem in collaborative filtering by exploiting personality information
The new user problem in recommender systems is still challenging, and there is not yet a
unique solution that can be applied in any domain or situation. In this paper we analyze …
unique solution that can be applied in any domain or situation. In this paper we analyze …
A survey on solving cold start problem in recommender systems
J Gope, SK Jain - 2017 International Conference on …, 2017 - ieeexplore.ieee.org
The cold start problem is a long-standing problem in recommender systems where systems
are unable to recommend relevant items to the users due to unavailability of adequate …
are unable to recommend relevant items to the users due to unavailability of adequate …
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 …
The recommender system: a survey
B Alhijawi, Y Kilani - International Journal of Advanced …, 2020 - inderscienceonline.com
Recommender system is a helpful tool for helping the user in cutting the time needs to find
personalised products, documents, friends, places and services. In addition, the …
personalised products, documents, friends, places and services. In addition, the …
Personality, user preferences and behavior in recommender systems
RP Karumur, TT Nguyen, JA Konstan - Information Systems Frontiers, 2018 - Springer
This paper reports on a study of 1840 users of the MovieLens recommender system with
identified Big-5 personality types. Based on prior literature that suggests that personality …
identified Big-5 personality types. Based on prior literature that suggests that personality …