Real Time Detection of Odd Behavior and Irrelevant Promotion in Video Sharing Systems

Journal Title: INTERNATIONAL JOURNAL OF COMPUTER TRENDS & TECHNOLOGY - Year 2013, Vol 6, Issue 5

Abstract

Metacafe is one of the most popular video sharing system among all online video sharing systems, these video sharing systems provide features that allow users to post a video as a response to the topic that is being discussed. There are opportunities for its users to introduce polluted content,or simply pollution, into the system because of these features. For example, spammers may post an unrelated video as response to a popular one, aiming at increasing the likelihood of the response being viewed by a larger number of users in the same way also content promoters may try to gain visibility to a specific video by posting a large number of responses for boosting the rank of the responded video so that it will appear in the top lists maintained by the system. Content pollution means the posting of irrelevant content may jeopardize the trust of users on the video sharing system, thus in turn it compromises the success in promoting social interactions. In spite of that, the available literature is very limited in providing a deep understanding of this problem. In this paper, we address the issue of detecting video spammers and promoters considering you tube video sharing system. Index Terms: Promoter, social media, social networks, spammer, video promotion, video response, video spam.

Authors and Affiliations

Panga Eswaraiah , Dr. D. Kavitha

Keywords

Related Articles

Implementation of Minutiae Based Fingerprint Identification System using Crossing Number Concept

Biometric system is essentially a pattern recognition system which recognizes a person by determining the authenticity of a specific physiological (e.g., fingerprints, face, retina, iris) or behavioral (e.g., gait, signa...

Credit Based Collaborative Filtering Approach: An Improvement in Recommender Systems

In recent years Internet has emerged as an important tool for gaining information. But people confronts with abundance of data. High performance information searching is required to cope with this situation. Recommender...

Intensity and Texture Gradient Based Boundary Detection Algorithm for Medical Image[i][/i]

In today’s technological world images plays a very important role. Images are very helpful in several fields like non-destructive testing. Medical diagnostics, surveillance and military etc. in image analysis and compute...

Error Resilient Schemes for Region of Interest based Video Coding

In video applications, not all regions of a particular frame are of equal importance. There are one or more regions in a video frame that have higher importance than the rest of the frame. In medical videos, only part of...

Journey from Data Mining to Web Mining to Big Data

This paper describes the journey of big data starting from data mining to web mining to big data. It discusses each of this method in brief and also provides their applications. It states the importance of mining big dat...

Download PDF file
  • EP ID EP141587
  • DOI -
  • Views 107
  • Downloads 0

How To Cite

Panga Eswaraiah, Dr. D. Kavitha (2013). Real Time Detection of Odd Behavior and Irrelevant Promotion in Video Sharing Systems. INTERNATIONAL JOURNAL OF COMPUTER TRENDS & TECHNOLOGY, 6(5), 248-253. https://europub.co.uk/articles/-A-141587