A novel recommendation method based on social network using matrix factorization technique
C Xu - Information processing & management, 2018 - Elsevier
The rapid development of information technology and the fast growth of Internet have
facilitated an explosion of information which has accentuated the information overload …
facilitated an explosion of information which has accentuated the information overload …
Social recommendation via deep neural network-based multi-task learning
Recent years are witnessing the rapid development of social recommendation to improve
the performance of recommender system, especially for cold start problem. Many of the …
the performance of recommender system, especially for cold start problem. Many of the …
A new method to find neighbor users that improves the performance of collaborative filtering
Recommender Systems (RS) are used to help people reduce the amount of time they spend
to find the items they are looking for. One of the most successful techniques used in RS is …
to find the items they are looking for. One of the most successful techniques used in RS is …
[HTML][HTML] 知识图谱的推荐系统综述
常亮， 张伟涛， 古天龙， 孙文平， 宾辰忠 - 智能系统学报, 2019 - html.rhhz.net
知识图谱的推荐系统综述 «上一篇 文章快速检索 高级检索 下一篇» 智能系统学报 2019, Vol. 14
Issue (2): 207-216 DOI: 10.11992/tis.201805001 0 引用本文 常亮, 张伟涛, 古天龙, 等. 知识 …
Issue (2): 207-216 DOI: 10.11992/tis.201805001 0 引用本文 常亮, 张伟涛, 古天龙, 等. 知识 …
Social networks data analytical approaches for trust‐based recommender systems: A systematic literature review
N Vatani, AM Rahmani, HHS Javadi… - International Journal of …, 2024 - Wiley Online Library
With the explosive growth of information on the web and the quick provision of novel web
services, recommendation systems have emerged as efficient mechanism for providing …
services, recommendation systems have emerged as efficient mechanism for providing …
Data-driven diffusion recommendation in online social networks for the internet of people
Recommendation systems are gaining popularity with the proliferation of the Internet of
People (IoP). The popularity and use of online social networks facilitate integrating these …
People (IoP). The popularity and use of online social networks facilitate integrating these …
Identifying influential nodes of complex networks based on trust-value
J Sheng, J Zhu, Y Wang, B Wang, Z Hou - Algorithms, 2020 - mdpi.com
The real world contains many kinds of complex network. Using influence nodes in complex
networks can promote or inhibit the spread of information. Identifying influential nodes has …
networks can promote or inhibit the spread of information. Identifying influential nodes has …
Social recommendation using Euclidean embedding
Traditional recommender systems assume that all the users are independent, and they
usually face the cold start and data sparse problems. To alleviate these problems, social …
usually face the cold start and data sparse problems. To alleviate these problems, social …
Recrisk: An enhanced recommendation model with multi-facet risk control
Recommender systems (RSs) play a crucial role in helping users quickly find their desired
services and promoting sales of service providers in e-commerce. However, service …
services and promoting sales of service providers in e-commerce. However, service …
Self-paced learning enhanced neural matrix factorization for noise-aware recommendation
Matrix factorization-based collaborative filtering, learning user and item latent features, has
been one of the powerful recommendation techniques. Due to its simply modeling of user …
been one of the powerful recommendation techniques. Due to its simply modeling of user …