Survey on the objectives of recommender systems: Measures, solutions, evaluation methodology, and new perspectives
Recently, recommender systems have played an increasingly important role in a wide
variety of commercial applications to help users find favourite products. Research in the …
variety of commercial applications to help users find favourite products. Research in the …
DeepReco: deep learning based health recommender system using collaborative filtering
In today's digital world healthcare is one core area of the medical domain. A healthcare
system is required to analyze a large amount of patient data which helps to derive insights …
system is required to analyze a large amount of patient data which helps to derive insights …
Pointer-based item-to-item collaborative filtering recommendation system using a machine learning model
C Iwendi, E Ibeke, H Eggoni, S Velagala… - International Journal of …, 2022 - World Scientific
The creation of digital marketing has enabled companies to adopt personalized item
recommendations for their customers. This process keeps them ahead of the competition …
recommendations for their customers. This process keeps them ahead of the competition …
A hybrid context-aware approach for e-tourism package recommendation based on asymmetric similarity measurement and sequential pattern mining
M Kolahkaj, A Harounabadi… - Electronic Commerce …, 2020 - Elsevier
Personalized travel package recommendation for tourists is an important task in the e-
Tourism field. With the excessive growth of data over the internet, it has become difficult to …
Tourism field. With the excessive growth of data over the internet, it has become difficult to …
Personalized scientific paper recommendation based on heterogeneous graph representation
X Ma, R Wang - IEEE Access, 2019 - ieeexplore.ieee.org
The accelerating rate of scientific publications makes it extremely difficult for researchers to
find out the relevant papers and related works. Recommender systems that aim at solving …
find out the relevant papers and related works. Recommender systems that aim at solving …
Diversified and scalable service recommendation with accuracy guarantee
As one of the most successful recommendation techniques, neighborhood-based
collaborative filtering (CF), which recommends appropriate items to a target user by …
collaborative filtering (CF), which recommends appropriate items to a target user by …
Towards comprehensive approaches for the rating prediction phase in memory-based collaborative filtering recommender systems
LNH Nam - 2022 - dl.acm.org
Recommender systems play an indispensable role in today's online businesses. In these
systems, memory-based (neighborhood-based) collaborative filtering is an important …
systems, memory-based (neighborhood-based) collaborative filtering is an important …
A novel community-based trust aware recommender systems for big data cloud service networks
BD Deebak, F Al-Turjman - Sustainable Cities and Society, 2020 - Elsevier
Abstract Internet of Things (IoT) has enhanced the appearance of the information and
communications technology (ICT) infrastructure of smart sustainable cities that emerge as a …
communications technology (ICT) infrastructure of smart sustainable cities that emerge as a …
Providing effective recommendations in discussion groups using a new hybrid recommender system based on implicit ratings and semantic similarity
M Riyahi, MK Sohrabi - Electronic Commerce Research and Applications, 2020 - Elsevier
Discussion groups are one of the most important elements of collaborative learning which
utilize recommender systems to improve their performance in several aspects. This type of …
utilize recommender systems to improve their performance in several aspects. This type of …
Collaborative filtering recommendation based on trust and emotion
With the development of personalized recommendations, information overload has been
alleviated. However, the sparsity of the user-item rating matrix and the weak transitivity of …
alleviated. However, the sparsity of the user-item rating matrix and the weak transitivity of …