Context-aware QoS prediction with neural collaborative filtering for Internet-of-Things services
With the prevalent application of Internet of Things (IoT) in real world, services have become
a widely used means of providing configurable resources. As the number of services is large …
a widely used means of providing configurable resources. As the number of services is large …
[HTML][HTML] A new user similarity model to improve the accuracy of collaborative filtering
Collaborative filtering has become one of the most used approaches to provide
personalized services for users. The key of this approach is to find similar users or items …
personalized services for users. The key of this approach is to find similar users or items …
Pearson correlation coefficient of current derivatives based pilot protection scheme for long-distance LCC-HVDC transmission lines
Y Zhang, Y Li, J Song, X Chen, Y Lu, W Wang - International Journal of …, 2020 - Elsevier
This paper proposes a pilot protection scheme for long-distance LCC-HVDC transmission
lines based on Pearson correlation coefficient of current derivatives. According to the …
lines based on Pearson correlation coefficient of current derivatives. According to the …
A deep learning approach for relationship extraction from interaction context in social manufacturing paradigm
J Leng, P Jiang - Knowledge-Based Systems, 2016 - Elsevier
There is an increasing unstructured text data produced in cross-enterprise social interaction
media, forming a social interaction context that contains massive manufacturing …
media, forming a social interaction context that contains massive manufacturing …
Utilizing various sparsity measures for enhancing accuracy of collaborative recommender systems based on local and global similarities
D Anand, KK Bharadwaj - Expert systems with applications, 2011 - Elsevier
Collaborative filtering is a popular recommendation technique, which suggests items to
users by exploiting past user-item interactions involving affinities between pairs of users or …
users by exploiting past user-item interactions involving affinities between pairs of users or …
A novel fault-location method for HVDC transmission lines based on similarity measure of voltage signals
In this paper, a method for fault locating in HVDC transmission lines is proposed which only
uses the voltage signal measured at one of the line terminals. The postfault voltage signal, in …
uses the voltage signal measured at one of the line terminals. The postfault voltage signal, in …
Integrating contextual sentiment analysis in collaborative recommender systems
Recently. recommender systems have become a very crucial application in the online
market and e-commerce as users are often astounded by choices and preferences and they …
market and e-commerce as users are often astounded by choices and preferences and they …
QoS prediction for mobile edge service recommendation with auto-encoder
In the mobile edge computing environment, there are a large number of mobile edge
services which are the carriers of various mobile intelligent applications. So how to …
services which are the carriers of various mobile intelligent applications. So how to …
Implementation and comparison of topic modeling techniques based on user reviews in e-commerce recommendations
D Chehal, P Gupta, P Gulati - Journal of Ambient Intelligence and …, 2021 - Springer
These days users are able to save their time and effort by purchasing products online via
various e-commerce websites. Their experience with a product exists in the form of textual …
various e-commerce websites. Their experience with a product exists in the form of textual …
[PDF][PDF] Contextual sentiment based recommender system to provide recommendation in the electronic products domain
The rush to purchase the latest products sometimes prevents people from thinking things
through completely. Consequently, recommender services are increasingly emerging. By …
through completely. Consequently, recommender services are increasingly emerging. By …