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The objective of this research is to design and implement a new technique for side information generation and compare the results of this technique with the existing such methods of side information especially the method proposed by Xavi Artigas to check any improvements. In order to achieve this objective both the available and proposed techniques were(More)
In the last few years, many recommender systems have been proposed but most of them suffer from scalability, sparsity and cold start issues. The existing recommender systems don't consider contextual information in term of user current device, location, company and time etc. In this paper, we proposed Hybrid Recommender System that accounts item attributes(More)
Multimedia applications are gaining popularity over smart devices. Sharing and using multimedia contents among multiple devices is a hot issue in N-screen environment. In this paper, we are going to investigate how the same stream can be shared by distinct bit rates devices and how several streams can be managed to different devices. We propose control(More)
This paper presents a recommender system for N-screen services in which users have multiple devices with different capabilities. In N-screen services, a user can use various devices in different locations and time and can change a device while the service is running. N-screen aware recommendation seeks to improve the user experience with recommended content(More)
Recommender systems provide an important response to the information overload problem as it presents users more practical and personalized information services. Collaborative Filtering technique is the most successful in the recommender systems field. Collaborative filtering creates suggestions for users based on their neighbors preferences. But it suffers(More)
Traditionally two frames are used to estimate the 3-D structure, while recent approaches have made use of a long sequence of frames. The latter gives a better recovery of a structure because it amasses temporal information over time. Tomasi-Kanade factorization also assumes all features to be visible throughout the entire image stream. This results in a(More)
User interactions in online social networks (OSNs) enable the spread of information and enhance the information dissemination process, but at the same time they exacerbate the information overload problem. In this paper, we propose a social content recommendation method based on spatial-temporal aware controlled information diffusion modeling in OSNs. Users(More)
As we move slowly to a paradigm where a large number of machines will interact with each other without the need for human intervention, we begin to realize that we need a standard way to enable communication between these machines. Additionally, since a lot of good work has already been done in the past to setup the Internet and the IP networks, it makes(More)
In these days, embedded system have an important role in different Fields and applications like Network embedded system , Real-time embedded systems which supports the mission-critical domains, mostly having the time constraints, Stand-alone systems which includes the network router etc. A great deployment in the processors made for completing the demanding(More)