Context aware recommender systems: A novel approach based on matrix factorization and contextual bias
M Casillo, BB Gupta, M Lombardi, A Lorusso… - Electronics, 2022 - mdpi.com
In the world of Big Data, a tool capable of filtering data and providing choice support is
crucial. Recommender Systems have this aim. These have evolved further through the use …
crucial. Recommender Systems have this aim. These have evolved further through the use …
Context-aware collaborative filtering using context similarity: an empirical comparison
Y Zheng - Information, 2022 - mdpi.com
Recommender systems can assist with decision-making by delivering a list of item
recommendations tailored to user preferences. Context-aware recommender systems …
recommendations tailored to user preferences. Context-aware recommender systems …
Enhancing context-aware recommendation using hesitant fuzzy item clustering by stacked autoencoder based smoothing technique
S Abinaya, MK Kavitha Devi… - International Journal of …, 2022 - World Scientific
Context-aware recommender systems (CARS) are a key component in businesses, notably
in the e-transactions domain, since they assume that reviews, ratings, demographics, and …
in the e-transactions domain, since they assume that reviews, ratings, demographics, and …
Context-Aware Recommendation System Survey: Recommendation When Adding Contextual Information
E Winarko, L Heryawan - 2022 6th International Conference …, 2022 - ieeexplore.ieee.org
The recommendation system (RecSys) helps users provide a referral by filtering information
based on the relationship between interests and needs. Several methods and approaches …
based on the relationship between interests and needs. Several methods and approaches …
Exploiting context-awareness and multi-criteria decision making to improve items recommendation using a tripartite graph-based model
Integrating useful input information is essential to provide efficient recommendations to
users. In this work, we focus on improving items ratings prediction by merging both multiple …
users. In this work, we focus on improving items ratings prediction by merging both multiple …
Trust-based context-aware collaborative filtering using denoising autoencoder
S Abinaya, MK Kavitha Devi - Pervasive Computing and Social …, 2022 - Springer
In recent times, extensive studies have been initiated to leverage deep learning strategies to
enhance context-aware recommendation. Classical collaborative filtering approaches have …
enhance context-aware recommendation. Classical collaborative filtering approaches have …
A novel context-aware recommendation approach based on tensor decomposition
In the information age, the ability to analyze data has a fundamental role. In this field,
recommender systems, that are able to provide suggests to users analyzing the information …
recommender systems, that are able to provide suggests to users analyzing the information …
Graph convolution approach for labor market analysis
HS Sugiarto - Journal of Computational Science, 2022 - Elsevier
The labor market is a complex web of interactions between jobs and applicants. In this
paper, the low-dimensional vector space will be constructed through a graph-convolution …
paper, the low-dimensional vector space will be constructed through a graph-convolution …
A topic modelling based approach towards personalized and health-aware food recommendation
M Khan - 2022 - researchrepository.ucd.ie
In this thesis, we present our research addressing various food-domain specific challenges.
The overall aim is to produce systems that support personalized, health-aware, and context …
The overall aim is to produce systems that support personalized, health-aware, and context …
Contextualized Recommendation of Aviation Ancillary Services Based on Passenger Portraits
Y Zhang, W Luo, M Li, T Chen - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Ancillary services are crucial to Chinese domestic airlines' profits. Personalized
recommendations for ancillary aviation services must consider massive amounts of …
recommendations for ancillary aviation services must consider massive amounts of …