Cloud Based Mobile Video Recommendation System with User Behaviour
Journal Title: International Journal for Research in Applied Science and Engineering Technology (IJRASET) - Year 2015, Vol 3, Issue 9
Abstract
Nowadays, Countless online video services are available Users usually waste lot of time to obtain their interested videos in browsing and watching those videos on mobile. The existing result shows the poor service quality of video streaming over mobile network such long buffering and interrupt happen in the streaming video. The proposed system is a video recommendation system which can speed up the recommendation process and reduce network overhead. The mobile video streamed by using the cloud. For video-sharing mobile application Mobile properties are collected for context aware recommendation. The Cloud based recommendation system is created with Mahout Machine learning library. Core algorithms of Mahout are used for classification, cluster and collaborative Moreover filtering. We use Mahout’s user and item based recommendation and user behaviour. The System collects user, item, rating, genre and viewing time for creating clusters of user profiles to generate implicit preferences video recommendations. Mobile properties such as location, time and network types are used to generate recommendation rules. User context and profile clusters are used for finding video recommendation from the massive amount of video collection on cloud. The proposed system can recommend desired services with high recall, high precision and low response delay.
Authors and Affiliations
Ms. Latika R. Gaddam, Mrs. Pratibha S. Yalagi
A Collaborative Watchdog and Classifier Based Scheme to Detect and Avoid Selfish Nodes in MANET
Wireless mobile ad hoc networks are self-configuring, dynamic networks in which nodes are free to move. A mobile ad hoc network (MANET) is a continuously self-configuring, infrastructure-less network of mobile devices c...
OFDM Technique for 4G and Different Proposed Techniques for 5G - A Review
With the increasing demand of high data rates and the arrival of new ideas like Internet of things (IOT), machine to machine communication (M2M), and fifth generation (5G), the current OFDM technique does not suffice th...
A Life Style Based Friend Recommendation System
The friend recommendation system in social sites will recommend friends based on geographical locations or number of mutual friends or pages they liked in common. This may not suits the user’s preference or the user rec...
Analysis of Natural Convection Heat Transfer from Rectangular Fin with Different Forms of Perforation Using Finite Element Analysis
This study examines the natural convective heat transfer from rectangular fins with different forms of perforations under natural convection. In this analysis six different forms of perforations are used with including...
Performance Evaluation of Forced FED Micro Channels for High Heat Flux Cooling Applications
High heat flux cooling is required in many applications such as power electronics, plasma-facing components, high heat-load optical components, laser diode arrays, X-ray medical devices, and power electronics in hybrid...