The social web has brought about many new types of recommender systems. One of the
most important is recommendation of people, which bears many unique characteristics and …

We are awash with “Big Data” to this very day because of the technological advancements
made during the past decade. The notion of Big Data refers to the datasets which are …

Recently, social network services that express individual opinions and thoughts have been
significantly developed. As unreliable information is generated and shared by arbitrary users …

Understanding search engine users' intents has been a popular study in information
retrieval, which directly affects the quality of retrieved information. One of the fundamental …

Modern cloud computing workloads are becoming day by day more demanding, in terms of
computational resources, as they feature multiple complex components, utilize …

How do we deal with the exponential growth of complex networks? Are existing algorithms
introduced decades ago able to work on big network graphs? In this work, we focus on …

With the wide adoption of social media in recent years, researchers on social information
access are gaining more interests on applying various of social interactions (eg, friendship …

Graphs are a convenient representation for large sets of data, being complex networks,
social networks, publication networks, and so on. The growing volume of data modeled as …

To investigate what kind of snippets are better suited for structured search on mobile
devices, we built an experimental mobile search application and conducted a task-oriented …

Most existing graph keyword search works assume that the graph data is complete and
clean, that is, there are no missing information (such as keywords or edges) and …