Towards cognitive recommender systems
Intelligence is the ability to learn from experience and use domain experts' knowledge to
adapt to new situations. In this context, an intelligent Recommender System should be able …
adapt to new situations. In this context, an intelligent Recommender System should be able …
Psychology-informed recommender systems
Personalized recommender systems have become indispensable in today's online world.
Most of today's recommendation algorithms are data-driven and based on behavioral data …
Most of today's recommendation algorithms are data-driven and based on behavioral data …
Recommender systems: An overview
Recommender systems are tools for interacting with large and complex information spaces.
They provide a personalized view of such spaces, prioritizing items likely to be of interest to …
They provide a personalized view of such spaces, prioritizing items likely to be of interest to …
Recommender systems: Past, present, future
The origins of modern recommender systems date back to the early 1990s when they were
mainly applied experimentally to personal email and information filtering. Today, 30 years …
mainly applied experimentally to personal email and information filtering. Today, 30 years …
[图书][B] Recommender systems: an introduction
In this age of information overload, people use a variety of strategies to make choices about
what to buy, how to spend their leisure time, and even whom to date. Recommender …
what to buy, how to spend their leisure time, and even whom to date. Recommender …
Human decision making and recommender systems
Recommender systems have already proved to be valuable for coping with the information
overload problem in several application domains. They provide people with suggestions for …
overload problem in several application domains. They provide people with suggestions for …
Artificial intelligence in recommender systems
Recommender systems provide personalized service support to users by learning their
previous behaviors and predicting their current preferences for particular products. Artificial …
previous behaviors and predicting their current preferences for particular products. Artificial …
Toward the next generation of recommender systems: applications and research challenges
A Felfernig, M Jeran, G Ninaus, F Reinfrank… - Multimedia Services in …, 2013 - Springer
Recommender systems are assisting users in the process of identifying items that fulfill their
wishes and needs. These systems are successfully applied in different e-commerce settings …
wishes and needs. These systems are successfully applied in different e-commerce settings …
Humanized recommender systems: State-of-the-art and research issues
Psychological factors such as personality, emotions, social connections, and decision
biases can significantly affect the outcome of a decision process. These factors are also …
biases can significantly affect the outcome of a decision process. These factors are also …
Selective contextual information acquisition in travel recommender systems
M Braunhofer, F Ricci - Information Technology & Tourism, 2017 - Springer
Context-aware recommender systems are information filtering and decision support
applications that generate recommendations by exploiting context-dependent user …
applications that generate recommendations by exploiting context-dependent user …