Category: IEEE 2017

Ensembling Classifiers for Detecting User’s Intentions behind Web Queries

Ensembling Classifiers for Detecting User’s Intentions behind Web Queries Abstract Discovering user intentions behind Web search queries is key to improving user experience. Usually, this task is seen as a classification problem, in which a sample of annotated user query intentions are provided to a supervised machine learning algorithm or classifier that learns from these examples and then can classify unseen user queries. This article proposes a new approach based on an […]


A Cloud-Based Architecture for the Internet of Spectrum Devices Over Future Wireless Networks

A Cloud-Based Architecture for the Internet of Spectrum Devices Over Future Wireless Networks Abstract The dramatic increase in data rates in wireless networks has caused radio spectrum usage to be an essential and critical issue. Spectrum sharing is widely recognized as an affordable, near-term method to address this issue. This paper first characterizes the new features of spectrum sharing in futurewireless networks, including heterogeneity in sharing […]