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시간 정보를 이용한 확장성 있는 하이브리드 Recommender 시스템
Farman Ullah,Ghulam Sarwar,김재우,문경덕,김진태,이성창 한국인터넷방송통신학회 2012 한국인터넷방송통신학회 논문지 Vol.12 No.2
최근 디지털 컨텐츠와 컨텐츠 사용자의 기하 급수적인 증가와 함께 recommender 시스템이 주목을 받으며 많은 응용 프로그램에 적용되고 있는 가운데, recommender 시스템의 확장성과 대체적으로 이와 반비례하는 정확성이 이슈가 되고 있다. 본 논문에서는 recommender 시스템 모델 중 하이브리드 모델의 매트릭스를 제거하고 아이템의 특성을 정하기 위해 클러스터링 기술을 사용한 Scalable Hybrid Recommender System을 제안한다. 제안된 모델은 recommender 시스템의 확장성과 정확성을 향상시키기 위해서 아이템에 대한 사용자의 평가 정보, demographic 정보와 구체적인 시간 정보를 사용한다. Reduction 기술 사용을 통해 Item-feature 매트릭스의 사이즈를 축소하고, 사용자 demographic 정보를 사용하여 temporal aware hybrid user model을 만든 후, 비슷한 정보를 가진 사용자간 클러스터링을 통해, 가장 유사한 정보를 가진 사용자들을 추출하여, 사용자간 정보를 비교함으로써 사용자가 원하는 아이템의 특성을 예상하고 사용자에게 N개의 아이템을 추천함으로써, 기존의 recommender 시스템보다 더욱 향상된 결과를 도출해 낼 수 있는 알고리즘을 제시하였다. Recommender Systems have gained much popularity among researchers and is applied in a number of applications. The exponential growth of users and products poses some key challenges for recommender systems. Recommender Systems mostly suffer from scalability and accuracy. The accuracy of Recommender system is somehow inversely proportional to its scalability. In this paper we proposed a Context Aware Hybrid Recommender System using matrix reduction for Hybrid model and clustering technique for predication of item features. In our approach we used user item-feature rating, User Demographic information and context information i.e. specific time and day to improve scalability and accuracy. Our Algorithm produce better results because we reduce the dimension of items features matrix by using different reduction techniques and use user demographic information, construct context aware hybrid user model, cluster the similar user offline, find the nearest neighbors, predict the item features and recommend the Top N- items.
Farman Ullah,Inamullah Khan,Hart, Robert-Spooner,Peter Bailey,Khalil, Said-Khan Korean Society of Applied Entomology 2002 Journal of Asia-Pacific Entomology Vol.5 No.1
Morphological features of the ladybird beetle Stethorus vegans (Blackburn) were studied at 25 $\pm$ $2^{\circ}$ with a photoperiod of 16L: 8D. All stages of S. vahans were examined under a stereo-zoom microscope. Newly laid eggs were translucent white, turning pale yellow after 4-5 hours. The mean egg dimension was 0.36 x 0.19 mm. Eggs laid by unmated females did not hatch or show any signs of development. Newly emerged larvae were white in color, but soon became pale creamy-white. There were four larval instars, which were differentiated from each other by the presence of exuviae and differences in head capsule size. The pre-pupa, not a distinct stage in the life cycle but a quiescent period at the end of the 4th larval instar, lasted for several hours. Pupae were oval, flattened and black-brown with (me hair like setae on their dorsal sides with a mean length and width of 1.06 x 0.74 mm. The adults were oval, convex and black with small yellow setae on their dorsal side.
Multicriteria-Based Location Privacy Preservation in Vehicular Ad Hoc Networks
Farman, Haleem,Jan, Bilal,Talha, Muhammad,Zar, Abi,Javed, Huma,Khan, Murad,Din, Aziz Ud,Han, Kijun Hindawi Limited 2018 Complexity Vol.2018 No.-
<P>Vehicular ad hoc networks (VANETs) are the preferable choice for Intelligent Transportation Systems (ITS) because of its prevailing significance in both safety and nonsafety applications. Information dissemination in a multihop fashion along with privacy preservation of source node is a serious but challenging issue. We have used the idea of the phantom node as the next forwarder for data dissemination. The phantom node (vehicle) hides the identity of actual source node thus preserving the location privacy. The selection of the phantom node among the set of alternatives’ candidate vehicles is considered as a multicriteria-based problem. The phantom node selection problem is solved by using an analytical network process (ANP) by considering different traffic scenarios. The selection is based on different parameters which are distance, speed, trust, acceleration, and direction. The best alternative (target phantom vehicle) is selected through an ANP where all the alternatives are ranked from best to worst. The vehicle having maximum weight is considered to be the best choice as a phantom node. In order to check the stability of the alternatives’ ranking, sensitivity analysis is performed by taking into account different traffic scenarios and interest level of candidate vehicles.</P>
Ullah, Farman,Sarwar, Ghulam,Lee, Sungchang Hindawi Publishing Corporation 2014 The Scientific World Journal Vol.2014 No.-
<P>We propose a network and visual quality aware N-Screen content recommender system. N-Screen provides more ways than ever before to access multimedia content through multiple devices and heterogeneous access networks. The heterogeneity of devices and access networks present new questions of QoS (quality of service) in the realm of user experience with content. We propose, a recommender system that ensures a better visual quality on user's N-screen devices and the efficient utilization of available access network bandwidth with user preferences. The proposed system estimates the available bandwidth and visual quality on users N-Screen devices and integrates it with users preferences and contents genre information to personalize his N-Screen content. The objective is to recommend content that the user's N-Screen device and access network are capable of displaying and streaming with the user preferences that have not been supported in existing systems. Furthermore, we suggest a joint matrix factorization approach to jointly factorize the users rating matrix with the users N-Screen device similarity and program genres similarity. Finally, the experimental results show that we also enhance the prediction and recommendation accuracy, sparsity, and cold start issues.</P>