A two-stage locality-sensitive hashing based approach for privacy-preserving mobile service recommendation in cross-platform edge environment
With the increasing popularity of service computing paradigm, tremendous resources or
services are emerging rapidly on the Web, imposing heavy burdens on the service selection …
services are emerging rapidly on the Web, imposing heavy burdens on the service selection …
A distributed locality-sensitive hashing-based approach for cloud service recommendation from multi-source data
To maximize the economic benefits, a cloud service provider needs to recommend its
services to as many users as possible based on the historical user-service quality data …
services to as many users as possible based on the historical user-service quality data …
Multi-dimensional quality-driven service recommendation with privacy-preservation in mobile edge environment
With the advance of mobile edge computing (MEC), the number of edge services running on
mobile devices grows explosively. In this situation, it is becoming a necessity to recommend …
mobile devices grows explosively. In this situation, it is becoming a necessity to recommend …
Privacy‐preserving and scalable service recommendation based on SimHash in a distributed cloud environment
With the increasing volume of web services in the cloud environment, Collaborative Filtering‐
(CF‐) based service recommendation has become one of the most effective techniques to …
(CF‐) based service recommendation has become one of the most effective techniques to …
An efficient preprocessing method for supervised sentiment analysis by converting sentences to numerical vectors: a twitter case study
MK Sohrabi, F Hemmatian - Multimedia tools and applications, 2019 - Springer
Along with the significant growth of social media, individuals and companies are
increasingly receiving public opinions which direct their decisions. Opinion mining, which is …
increasingly receiving public opinions which direct their decisions. Opinion mining, which is …
Multimedia recommendation using Word2Vec-based social relationship mining
JW Baek, KY Chung - Multimedia Tools and Applications, 2021 - Springer
This study proposes the multimedia recommendation method using Word2Vec-based social
relationship mining. This is to analyze users with a similar tendency on the basis of the …
relationship mining. This is to analyze users with a similar tendency on the basis of the …
Privacy-aware data publishing and integration for collaborative service recommendation
Item-based collaborative filtering (ie, ICF) technique has been widely recruited to make
service recommendations in the big data environment. However, the ICF technique only …
service recommendations in the big data environment. However, the ICF technique only …
A location and reputation aware matrix factorization approach for personalized quality of service prediction
Prediction of Quality of Service (QoS) values plays an important role in service selection,
discovery, and recommendation. Previous works show that the QoS values would be …
discovery, and recommendation. Previous works show that the QoS values would be …
A novel mobile personalized recommended method based on money flow model for stock exchange
Q Xu, J Wu, Q Chen - Mathematical Problems in Engineering, 2014 - Wiley Online Library
Personalized recommended method is widely used to recommend commodities for target
customers in e‐commerce sector. The core idea of merchandise personalized …
customers in e‐commerce sector. The core idea of merchandise personalized …
Hybrid multi-modal deep learning using collaborative concat layer in health bigdata
JC Kim, K Chung - IEEE Access, 2020 - ieeexplore.ieee.org
A health model based on data has various missing values depending on the user situation,
and the accuracy of a health model requiring variables that the user cannot collect appears …
and the accuracy of a health model requiring variables that the user cannot collect appears …