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 …
Collaborative filtering recommender systems taxonomy
H Papadakis, A Papagrigoriou, C Panagiotakis… - … and Information Systems, 2022 - Springer
In the era of internet access, recommender systems try to alleviate the difficulty that
consumers face while trying to find items (eg, services, products, or information) that better …
consumers face while trying to find items (eg, services, products, or information) that better …
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 …
Tracing the technological development trajectory in post-lithium-ion battery technologies: A patent-based approach
LJ Aaldering, CH Song - Journal of Cleaner Production, 2019 - Elsevier
With the ever-growing energy demands, new battery chemistries beyond lithium ion
technology are required to deal with an increased power consumption and promote the …
technology are required to deal with an increased power consumption and promote the …
Competition or collaboration?–Analysis of technological knowledge ecosystem within the field of alternative powertrain systems: A patent-based approach
LJ Aaldering, J Leker, CH Song - Journal of cleaner production, 2019 - Elsevier
In light of the transition towards a low-carbon economy and growing social demands for
sustainable energy consumption, alternative powertrain systems, such as battery electric …
sustainable energy consumption, alternative powertrain systems, such as battery electric …
A patent-based approach to identifying potential technology opportunities realizable from a firm's internal capabilities
W Seo - Computers & Industrial Engineering, 2022 - Elsevier
Technology opportunity identification leads to technological advances with future-oriented
ideas by predicting the direction of change in technological trends. Many researchers have …
ideas by predicting the direction of change in technological trends. Many researchers have …
A survey on data mining techniques in recommender systems
Recommender systems have been regarded as gaining a more significant role with the
emergence of the first research article on collaborative filtering (CF) in the mid-1990s. CF …
emergence of the first research article on collaborative filtering (CF) in the mid-1990s. CF …
Graph regularized nonnegative matrix factorization for link prediction in directed temporal networks using PageRank centrality
Temporal link prediction aims to predict new links at time T+ 1 based on a given temporal
network from time 1 to T. Some existing temporal link prediction methods only consider the …
network from time 1 to T. Some existing temporal link prediction methods only consider the …
Link prediction by adversarial nonnegative matrix factorization
Networks are now more crucial than ever for modeling complex systems with interconnected
components. Many methods have been developed to infer unobserved links or predict latent …
components. Many methods have been developed to infer unobserved links or predict latent …
Link prediction in multiplex networks using a novel multiple-attribute decision-making approach
H Luo, L Li, Y Zhang, S Fang, X Chen - Knowledge-Based Systems, 2021 - Elsevier
Recently, the problem of link prediction in multiplex networks has received increasing
interest from researchers. Multiplex networks that model different types of relationships …
interest from researchers. Multiplex networks that model different types of relationships …