Reciprocal Recommender Systems: Analysis of state-of-art literature, challenges and opportunities towards social recommendation
There exist situations of decision-making under information overload in the Internet, where
people have an overwhelming number of available options to choose from, eg products to …
people have an overwhelming number of available options to choose from, eg products to …
Context-aware recommender systems in mobile environment: On the road of future research
Recommender systems have recently been singled out as a fascinating area of research,
owing to the technological progress in mobile devices, such as smartphones and tablets, as …
owing to the technological progress in mobile devices, such as smartphones and tablets, as …
Knowledge graph completion via complex tensor factorization
In statistical relational learning, knowledge graph completion deals with automatically
understanding the structure of large knowledge graphs--labeled directed graphs--and …
understanding the structure of large knowledge graphs--labeled directed graphs--and …
Leveraging Opposite Gender Interaction Ratio as a Path towards Fairness in Online Dating Recommendations Based on User Sexual Orientation
Online dating platforms have gained widespread popularity as a means for individuals to
seek potential romantic relationships. While recommender systems have been designed to …
seek potential romantic relationships. While recommender systems have been designed to …
On directed densest subgraph discovery
Given a directed graph G, the directed densest subgraph (DDS) problem refers to the finding
of a subgraph from G, whose density is the highest among all the subgraphs of G. The DDS …
of a subgraph from G, whose density is the highest among all the subgraphs of G. The DDS …
Considering weights in real social networks: A review
Network science offers powerful tools to model complex social systems. Most social network
science research focuses on topological networks by simply considering the binary state of …
science research focuses on topological networks by simply considering the binary state of …
Question recommendation with constraints for massive open online courses
Massive Open Online Courses (MOOCs) have experienced a recent boom in interest.
Problems students struggle with in the discussion forums, such as difficultly in finding …
Problems students struggle with in the discussion forums, such as difficultly in finding …
What is the added value of negative links in online social networks?
J Kunegis, J Preusse, F Schwagereit - Proceedings of the 22nd …, 2013 - dl.acm.org
We investigate the" negative link" feature of social networks that allows users to tag other
users as foes or as distrusted in addition to the usual friend and trusted links. To answer the …
users as foes or as distrusted in addition to the usual friend and trusted links. To answer the …
Mining real-world high dimensional structured data in medicine and its use in decision support. Some different perspectives on unknowns, interdependency, and …
B Robson, S Boray, J Weisman - Computers in Biology and Medicine, 2022 - Elsevier
There are many difficulties in extracting and using knowledge for medical analytic and
predictive purposes from Real-World Data, even when the data is already well structured in …
predictive purposes from Real-World Data, even when the data is already well structured in …
On the generalizability and predictability of recommender systems
While other areas of machine learning have seen more and more automation, designing a
high-performing recommender system still requires a high level of human effort …
high-performing recommender system still requires a high level of human effort …