Distributed systems are vulnerable to sybil attacks , in which an adversary creates many bogus identities, called Sybil identities, and compromises the running of the system or pollutes the system with fake information. The sybil identities can “suppress” the honest identities in a variety of tasks, including online content ranking, DHT routing, file sharing, reputation […]

we have been witnessing much interest in uncertain data management in many application areas such as data cleaning , sensor networks , information extraction , etc. Much research effort has been devoted to several aspects of uncertain data management, including data modeling , skyline queries, top-k queries, nearest neighbor search , spatial queries , XML […]

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 […]

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 […]

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 […]