Network-aware Social-based Movie Recommender for Peer-to-Peer System
Date Issued
2010
Date
2010
Author(s)
Chien, Chia-Ying
Abstract
Recommendation system is popular and well-known by people, and also used in many platforms, like e-commerce which is large and complex. Recommendation mechanism can help users quickly finding the items that they are interested in. In addition, today, more and more information is transferred in the world, peer-to-peer file sharing system is preferred by users. For all the users, it is a strong and convenient service to combine these two ideas. For this kind of applications, existed recommendation systems didn’t consider if users could get the files as quick as possible. Therefore, in this thesis, we propose a distributed movie search recommendation system which can search and share movies. In order to use users’ bandwidth adequately and decrease the time for users to download the files, we base on a hybrid recommendation systems, and consider network factors to filter out the movies which can be downloaded efficiently in network as our final recommendation list. Finally,according to the simulation result , it shows that our network filter can help decreasing the time to transfer files without effecting the accuracy.
Subjects
Distributed recommendation system
Movie recommendation system
Download efficiency
P2P file sharing system
Available upload bandwidth
Type
thesis
File(s)![Thumbnail Image]()
Loading...
Name
ntu-99-R97944045-1.pdf
Size
23.32 KB
Format
Adobe PDF
Checksum
(MD5):037dc49bd1766e63ca9b99c83fa539e5