A trust-based recommendation method using network diffusion processes
LJ Chen, J Gao - Physica A: Statistical Mechanics and its Applications, 2018 - Elsevier
A variety of rating-based recommendation methods have been extensively studied including
the well-known collaborative filtering approaches and some network diffusion-based …
the well-known collaborative filtering approaches and some network diffusion-based …
How to boost the performance of recommender systems by social trust? Studying the challenges and proposing a solution
With the increasing number of items in electronic retailers, news websites, etc., finding
interesting items concerning the taste of users is becoming more challenging …
interesting items concerning the taste of users is becoming more challenging …
Diffusion algorithms in multimedia social networks: A preliminary model
Despite the great amount of research done in the Online Social Networks (OSNs) field, only
few works have investigated the use of multimedia data in such realm. Instead, it is the …
few works have investigated the use of multimedia data in such realm. Instead, it is the …
Extracting implicit social relation for social recommendation techniques in user rating prediction
Recommendation plays an increasingly important role in our daily lives. Recommender
systems automatically suggest items to users that might be interesting for them. Recent …
systems automatically suggest items to users that might be interesting for them. Recent …
Combining social relations and interaction data in Recommender System with Graph Convolution Collaborative Filtering
A recommender system is an important subject in the field of data mining, where the item
rating information from users is exploited and processed to make suitable recommendations …
rating information from users is exploited and processed to make suitable recommendations …
Kernelized deep learning for matrix factorization recommendation system using explicit and implicit information
In the current matrix factorization recommendation approaches, the item and the user latent
factor vectors are with the same dimension. Thus, the linear dot product is used as the …
factor vectors are with the same dimension. Thus, the linear dot product is used as the …
A novel trust model based overlapping community detection algorithm for social networks
With the fast advances in Internet technologies, social networks have become a major
platform for social interaction, lifestyle demonstration, and message dissemination. Effective …
platform for social interaction, lifestyle demonstration, and message dissemination. Effective …
Effects of sentiment on recommendations in social network
PY Hsu, HT Lei, SH Huang, TH Liao, YC Lo, CC Lo - Electronic Markets, 2019 - Springer
This study adopted a sentiment word database to extract sentiment-related data from
microblog posts. These data were then used to investigate the effect of different types of …
microblog posts. These data were then used to investigate the effect of different types of …
Personalized recommendation with hybrid feedback by refining implicit data
In personalized recommender systems, the collaborative filtering (CF) recommendation
approaches have been widely used to predict the preferences of users in real-world …
approaches have been widely used to predict the preferences of users in real-world …
Low-rank and sparse matrix factorization with prior relations for recommender systems
J Wang, L Zhu, T Dai, Q Xu, T Gao - Applied Intelligence, 2021 - Springer
The explosive growth of data has caused users to spend considerable time and effort finding
the items they need. Various recommender systems have been created to provide …
the items they need. Various recommender systems have been created to provide …