Show/Hide Menu
Hide/Show Apps
Logout
Türkçe
Türkçe
Search
Search
Login
Login
OpenMETU
OpenMETU
About
About
Open Science Policy
Open Science Policy
Open Access Guideline
Open Access Guideline
Postgraduate Thesis Guideline
Postgraduate Thesis Guideline
Communities & Collections
Communities & Collections
Help
Help
Frequently Asked Questions
Frequently Asked Questions
Guides
Guides
Thesis submission
Thesis submission
MS without thesis term project submission
MS without thesis term project submission
Publication submission with DOI
Publication submission with DOI
Publication submission
Publication submission
Supporting Information
Supporting Information
General Information
General Information
Copyright, Embargo and License
Copyright, Embargo and License
Contact us
Contact us
RECO, a hybrid video recommendation system using user behaviours and features of videos
Download
index.pdf
Date
2014
Author
Bezen, Şükrü
Metadata
Show full item record
Item Usage Stats
155
views
76
downloads
Cite This
If you are talking about video content on the internet, you have to think in big scales. That is why we need a system that handles the constant streaming of user behaviour on video content without delaying its recommendation system at the background. We approach to this problem by combining collaborative and content based recommendation algorithms on a framework which is completely scalable. In the thesis, we explain how we combine behaviours of users and features of videos. In what ways a change on user behaviours e ects the recommendation and how is meta data mapped to user behaviours for creating the recommendation.
Subject Keywords
Recommender systems (Information filtering).
,
Information filtering systems.
,
Data mining.
,
User-centered system design.
,
Video recordings
URI
http://etd.lib.metu.edu.tr/upload/12617885/index.pdf
https://hdl.handle.net/11511/24014
Collections
Graduate School of Natural and Applied Sciences, Thesis
Suggestions
OpenMETU
Core
BoRGo: a book recommender for reading groups
Saçak Düzgün, Sayıl; Birtürk, Ayşe Nur; Department of Computer Engineering (2012)
With the increasing amount of data on web, people start to need tools which will help them to deal with the most significant ones among the thousands. The idea of a system which recommends items to its users emerged to fulfill this inevitable need. But most of the recommender systems make recommendations for individuals. On the other hand, some people need recommendation for items which they will use or for activities which they will attend together. Group recommenders serve for these purposes. Group recomm...
Composite Method in Real Time Video Stabilization
Bayrak, Serhat; Ulusoy, İlkay (2009-01-01)
Since digital video stabilization completely performs over the images, if requires exhaustive processing power. Therefore, it is less preferred for real-time applications. Global (background) motion estimation in floating video is the most time consuming part of digital video stabilization. In this work, the load of digital motion estimation is reduced by using mechanical motion sensors, thus, it is shown that digital video stabilization can be used for real-time applications.
User preference boosted content-based recommender system
Özberk Yener, Tuğçe; Özkan Yıldırım, Sevgi; Department of Information Systems (2013)
In the world of information, internet becomes the most important information source. However, internet contains vast amount of information and this information is not filtered. In such an environment, the people who seek for an information is overwhelmed in the alternatives that s/he can reach via the web. Recommender systems have their real importance in this kind of situations. To overcome said overwhelming problems, recommender systems are developed to determine the people needs and to recommend suitable...
Improved probabilistic matrix factorization model for sparse datasets /
Ar, Yılmaz; Taşkaya Temizel, Tuğba; Department of Information Systems (2014)
The amount of information on the World Wide Web has increased significantly owing to advancing web and information technologies. This has made it difficult for users to obtain relevant and useful information thus there is a need for information filtering. Recommender Systems (RS) have emerged as a technique to overcome the problem. Collaborative Filtering (CF) that is one of the widely used RS approaches aims to predict users’ preference concerning an item. The main idea behind CF is the users who agreed in...
Optical flow based video frame segmentation and segment classification
Akpınar, Samet; Alpaslan, Ferda Nur; Department of Computer Engineering (2018)
Video information retrieval is a field of multimedia research enabling us to extract desired semantic information from video data. In content-based video information retrieval, visual content obtained from video scenes is utilized. For developing methods to cope with content-based video information retrieval in terms of temporal concepts such as action, event, etc., representation of temporal information becomes critical. In this thesis, action detection is tackled based on a temporal video representation m...
Citation Formats
IEEE
ACM
APA
CHICAGO
MLA
BibTeX
Ş. Bezen, “RECO, a hybrid video recommendation system using user behaviours and features of videos,” M.S. - Master of Science, Middle East Technical University, 2014.