Dynamic semantic interoperability of control in IoT-based systems: Need for adaptive middleware

SK Mohalik, NC Narendra, R Badrinath… - 2016 IEEE 3rd World …, 2016 - ieeexplore.ieee.org
The Internet of Things (IoT) phenomenon is giving rise to large scale IoT deployments
comprising thousands of IoT devices with large degree of heterogeneity. The heterogeneity …

CRLRM: category based recommendation using linear regression model

G Jain, N Mishra, S Sharma - 2013 Third International …, 2013 - ieeexplore.ieee.org
A system that suggests list of most popular items to a set of users on the basis of their
interest is named as recommendation system. Recommendation system filters the …

Recommendation system based on location and presence information of users in a mobile network

D Zegarra, J Sousa, B Faria… - 2010 Fifth International …, 2010 - ieeexplore.ieee.org
Cellular network operators have as main objectives the personalization of the offered
services to their subscribers in an individual way or for groups with the same preferences. In …

[PDF][PDF] A Survey on Recommendation Techniques in Numerous Domains

G Jain, N Mishra, S Sharma - International Journal of Computer …, 2013 - researchgate.net
With the increase in the amount of information available on the internet, there is a challenge
of providing relevant and useful information to the interesting users on the basis of their …

Exploiting Latent Information in Recommender Systems

Y Zhang - 2012 - openaccess.wgtn.ac.nz
This thesis exploits latent information in personalised recommendation, and investigates
how this information can be used to improve recommender systems. The investigations span …

[PDF][PDF] Recommender System Using Clustering Based On Collaborative Filtering Approach

J Pandey - Citeseer
Recommendation process plays an important role in many applications as WWW
Recommender systems uses the users, items, and ratings information to predict how other …