Context Aware Recommendation Systems: A review of the state of the art techniques
S Kulkarni, SF Rodd - Computer Science Review, 2020 - Elsevier
Recommendation systems are gaining increasing popularity in many application areas like
e-commerce, movie and music recommendations, tourism, news, advertisement, stock …
e-commerce, movie and music recommendations, tourism, news, advertisement, stock …
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 …
[图书][B] Recommender systems
CC Aggarwal - 2016 - Springer
“Nature shows us only the tail of the lion. But I do not doubt that the lion belongs to it even
though he cannot at once reveal himself because of his enormous size.”–Albert Einstein The …
though he cannot at once reveal himself because of his enormous size.”–Albert Einstein The …
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 …
Explainable recommendation via multi-task learning in opinionated text data
Explaining automatically generated recommendations allows users to make more informed
and accurate decisions about which results to utilize, and therefore improves their …
and accurate decisions about which results to utilize, and therefore improves their …
Modeling consumer preferences and price sensitivities from large-scale grocery shopping transaction logs
In order to match shoppers with desired products and provide personalized promotions,
whether in online or offline shopping worlds, it is critical to model both consumer …
whether in online or offline shopping worlds, it is critical to model both consumer …
iDoctor: Personalized and professionalized medical recommendations based on hybrid matrix factorization
Nowadays, crowd-sourced review websites provide decision support for various aspects of
daily life, including shopping, local services, healthcare, etc. However, one of the most …
daily life, including shopping, local services, healthcare, etc. However, one of the most …
[HTML][HTML] How do context-aware artificial intelligence algorithms used in fitness recommender systems? A literature review and research agenda
P Venkatachalam, S Ray - International Journal of Information Management …, 2022 - Elsevier
Recommender Systems (RS) help the user in the decision-making process when there is a
problem of plenty or lack of information. The context-aware recommender systems (CARS) …
problem of plenty or lack of information. The context-aware recommender systems (CARS) …
Progress in context-aware recommender systems—An overview
Recommender Systems are the set of tools and techniques to provide useful
recommendations and suggestions to the users to help them in the decision-making process …
recommendations and suggestions to the users to help them in the decision-making process …
AI-based mobile context-aware recommender systems from an information management perspective: Progress and directions
M del Carmen Rodríguez-Hernández, S Ilarri - Knowledge-Based Systems, 2021 - Elsevier
Abstract In the Artificial Intelligence (AI) field, and particularly within the area of Machine
Learning (ML), recommender systems have attracted significant research attention. These …
Learning (ML), recommender systems have attracted significant research attention. These …