DATA mining is the process of revealing nontrivial, previously unknown and potentially useful information from large databases. Discovering useful patterns hidden in a database plays an essential role in several data mining tasks, such as frequent pattern mining, weighted frequent pattern mining, and high utility pattern mining. Among them, frequent pattern mining is a fundamental […]
Relative CTRs at different positions in random learning bucket
A few action-interpretation-based approaches including user segmentation, user engagement and position bias. The success of user segmentation for personalization is due to the fact that the proposed clustering algorithms actually group users by interests and preferences that are implicitly demonstrated by their behaviors. Once the interest patterns are determined by clustering algorithms, a user will […]
ONLINE LEARNING FOR PERSONALIZED RECOMMENDATION
Content optimization is defined as the problem of selecting content items to present to a user who is intent on browsing for information. There are many variants of the problem, depending on the application and the different settings where the solution is used, such as articles published on portal websites, news personalization, recommendation of dynamically […]
ONLINE LEARNING FOR PERSONALIZED RECOMMENDATION
Content optimization is defined as the problem of selecting content items to present to a user who is intent on browsing for information. There are many variants of the problem, depending on the application and the different settings where the solution is used, such as articles published on portal websites, news personalization, recommendation of dynamically […]
Cloud computing provides an economical and efficient solution for sharing group Resource
To achieve secure data sharing for dynamic groups in the cloud, we expect to combine the group signature and dynamic broadcast encryption techniques. Specially, the group signature scheme enables users to anonymously use the cloud resources, and the dynamic broadcast encryption technique allows data owners to securely share their data files with others including new […]
Finding neighboring ratings in the new relation
The internet has become an indispensable part of our lives, and it provides a platform for enterprises to deliver information about products and services to the customers conveniently. As the amount of this kind of information is increasing rapidly, one great challenge is ensuring that proper content can be delivered quickly to the appropriate customers. […]
Outsourced image Recovery service from compressed sensing with privacy assurance
A recent data sensing and reconstruction framework well-known for its simplicity of unifying the traditional sampling and compression for data acquisition. To leverage compressed sensing to compress the storage of correlated image datasets. The idea is to store the compressed image samples instead of the whole image, either in compressed or uncompressed format, on storage […]
Seed block and finally stored the Exored file onto the remote server
National Institute of Standard and Technology defines as a model for enabling convenient, on-demand network access to a share pool of configurable computing service (for exnetworks, servers, storage, applications and services) that can be provisioned rapidly and released with minimal management effort or services provider . Today, Cloud Computing is itself a gigantic technology which […]
The Empirical study indicates that the anonymized social networks
Social networks have developed rapidly, recent research has begun to explore social networks to understand their structure, advertising and marketing, and data mining. Cloud computing as an emerging computing paradigm, is expected to reshape the information technology processes in the near future. Cloud services, which are available in a payas- you-go manner, promise ubiquitous 24/7 […]
A human behavior modeling Paradigm in cyber infrastructure
There are many problems in which one seeks to develop predictive models to map between a set of predictor variables and an outcome. Statistical tools such as multiple regression or neural networks provide mature methods for computing model parameters when the set of predictive covariates and the model structure are pre-specified. Furthermore, recent research is […]