Tensors and tensor decompositions are very powerful and versatile tools that can model a
wide variety of heterogeneous, multiaspect data. As a result, tensor decompositions, which …

With wide use of cloud computing technologies, microblog is used more widely for services
providing more personal communities by user information sharing, dissemination and …

Previous research investigated how to leverage the new type of social data available on the
web, eg, tags, ratings and reviews, in recommending and personalizing information …

Social media networks are now considered as one of the major news channels that breaks
news as they fold. The problem of event detection based on social media has attracted …

Today, most people find what they are looking for online by using search engines such as
Google, Bing, or Baidu. Modern web search engines have evolved from their roots in …

Multiaspect data are ubiquitous in modern Big Data applications. For instance, different
aspects of a social network are the different types of communication between people, the …

How different are search engines? The search engine wars are a favorite topic of on-line
analysts, as two of the biggest companies in the world, Google and Microsoft, battle for …

Topic discovery has witnessed a significant growth as a field of data mining at large. In
particular, time-evolving topic discovery, where the evolution of a topic is taken into account …

Indexing microblogs for realtime search is challenging, because new microblogs are created
at tremendous speed, and user query requests keep constantly changing. To guarantee …

Every day millions of users share links and post comments on different social networks. At
scale, this behavior can be very useful for building a new type of search engine that exploits …