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In recent years, online video has become more popular on the Internet with mobile terminal video traffic contributing 82% of cellular traffic. Users' sense of satisfaction with the network video business is usually measured by the indicator called “quality of experience”. Now HTTP adaptive streaming has become major method to deliver video traffic. However, TCP which is underlay protocol of HTTP is...
Mobile video service becomes more and more popular with commercial deployment of Long Term Evolution (LTE) networks and other wireless access mechanisms. However, perfect LTE coverage with ubiquitous signal quality is not available in reality. Recently, adaptive HTTP video streaming over LTE has been gaining popularity. The quality of video service faces challenges. In this paper, we study the Quality...
With the prevailing of mobile phones and online video contents, the demand for mobile online video is increasing. The desire, however, is held down by the high mobile traffic cost. To solve this problem, an off-the-shelf solution is WiFi-Direct (WFD), which is widely available on a majority of mobile devices. There is, however, no systematic study of WFD-based group data transfer and cooperative video...
Online video on demand (VoD) service is prevailing. Prediction of user lifespan in a VoD system benefits the service providers to characterize churn risk of users and manage to retain them. A systematical study on this problem is desired but absent in literature. We address this problem based on a large-scale dataset of user watching behavior from PPTV, one of the largest online VoD systems in China...
In recent years, video streaming has contribute 40% traffic in LTE wireless networks. However, battery has been a bottleneck for user to enjoy the high quality video since the progress of battery technique is far less than the advancement of wireless technique. How to enable users to enjoy video streaming given limited battery is an urgent problem. In this paper, we propose a video transmission mechanism...
Some recent work proposed differential private collaborative filtering (DPCF) recommender systems to protect user privacy from indirect access attacks, e.g., KNN attacks. As the cost of such protection, the MAE of recommendation was retained with insignificant increase but the more focused metrics, i.e., the precision and recall of top-k recommendations, degraded unacceptable. To address this problem,...
This paper presents a tracking system based on trajectory matching in WiFi network. When a user equipment appears in the monitored area, the system continuously intercepts WiFi beacon messages which are periodically issued by the user's equipments for finding accessable WiFi access point (AP). The system then infers the user's trajectory based on the MAC address and received signal strength indication...
The rapid development of Video On Demand (VoD) service especially in wireless network incurs huge bandwidth costs. To reduce the bandwidth pressure and improve the user experience, Wireless Service Providers (WSP) began deploy cache in the Mobile Switching Center (MSC) following the power law distribution observation of video popularity for the whole system. However, based on the Sina Video dataset...
A recommendation system learns a user's interests from her historical purchasing or watching behavior, which is disclosed to the recommendation system inevitably. Such a disclosure raises a serious concern in the public for the leak of users' privacy. For instance, a person who watches a lot of videos which are more preferred by women than men can be inferred as female. Recently, as a response to...
Most services present a uniform ranking list according to video popularity in order to satisfy users' potential demands. But recent work claimed that users in video systems showed distinct preferences on popularity of videos. Understanding these preferences has important implications for designing content distribution mechanism and improving recommendation accuracy. Users' Popularity Preferences (PPs)...
Based on a large-scale dataset extracted from the servers' logs of PPTV, one of the largest online video service providers in China, we study how device types, wireless network connection types and video qualities impact user's watching behaviors and network traffic. We found that 1) the diurnal user viewing patterns on mobile devices are slightly different from that on PC devices; 2) the mobile APP's...
In online video systems, viewer demographic information (gender, age, etc.) is of huge commercial value for delivering targeted advertising and video recommendations, but generally not available directly. This paper targets inferring viewers' gender based on implicit watching history in the large-scale online video systems. To tackle the sparsity problem without filtering out any cold users or videos,...
Nowadays, an increasing number of web applications require identification registration. However, the behavior of website registration has not ever been thoroughly studied. We use the database provided by the Chinese Software Develop Net (CSDN) to provide a complete perspective on this research point. We concentrate on the following three aspects: complexity, correlation, and preference. From these...
Watching ‘on-demand’ video on the Internet is popular. Provider sare paying more attention on mining user behaviour data to improve service quality and attract more loyal users. It is desired to characterize evolution process of user engagement. While there are models characterizing engagement of traditional customers and web users, there still lacks an appropriate metric of user's loyalty for VoD...
TCP in cast refers to a throughput collapse when too many senders simultaneously transmit to the same receiver. In order to improve throughput, our idea is avoiding packet losses before TCP in cast happens. The scheme is limiting the number of concurrent senders such that the link can be filled as fully as possible but no packet losses. In this paper we re-examine and modify the condition that the...
The widespread use of Internet provides a good environment for e-commerce. Study on e-commerce network characteristics always focuses on the Taobao. So far, researches based on Taobao are related to credit rating system, marketing strategy, analysis of characteristics of the seller and so on. The purpose of all these studies is to analyze online marketing transactions in e-commerce. In this paper,...
Overlapping community detecting for large-scale social networks becomes a research focus with the development of online social network applications. Among the current overlapping community discovery algorithms, LFM is based on local optimization of a fitness function, which is in consistent with the local nature of community, especially in large networks. But the original LFM may fall in loops when...
Video popularity ranking is commonly used in various streaming systems. Existing popularity ranking systems usually rank videos from the perspective of access frequency and ignore other implicit feedback, due to the belief that popularity rankings with different implicit metrics are highly consistent. Based on a large collection of real-world system trace data, this paper systematically compares video...
Increasing size of online social networks (OSNs) has given rise to sampling method studies that provide a relatively small but representative sample of large-scale OSNs so that the measurement and analysis burden can be affordable. So far, a number of sampling methods already exist that crawl social graphs. Most of them are suitable for one-mode graph where there is only one type of nodes. Literatures...
The Online P2P Video-on-Demand (VOD) streaming system has become one of the most popular Internet applications in recent years. Together with millions of users and tens of millions of workload, comes a big challenge for quality of service. This system's time-free accessing strategy might bring about far more severe access failure than that caused by flash crowds in traditional IPTV. Why does access...
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